it illustrates what wicked problems look like. So it comes from the World Economic uh global risk report from 2020. And what you see here, this is a perception of global risks from the people that that respond to a survey sent out by the World Economic Forum. You can see that in the middle there is climate action failure
for - example - wicked problem graph visualization - World Economic Forum
for - PhD thesis - Graph model for words and their meaning
for - mixed reality 3d graph data visualization - skyrails - gelphi
the Flow De-composition Theorem:
Obtain a max-flow and consider the residual graph
An alternative proof
My Proof: Based on conservation law, split the network into s, L, R, t with nflow(L) = nflow(R) = 0, nflow(s) = excessive(t) for any split, thus max-flow <= min-cut.
Given a max-flow, remove an edge and reducing flow value from all down-stream flowing edge repetitively. Eventually total flow value of removed edge must = nflow(s) and it must be a cut (otherwise the original flow can be arugmented and not maximized).
Lemma 8.3. For any A ⊆ V (G) such that s ∈ A, t /∈ A, and any s-t-flow f ,(a) value ( f ) = ∑e∈δ+( A) f (e) − ∑e∈δ−( A) f (e).(b) value ( f ) ≤ ∑e∈δ+( A) u(e)
Better Proof: The (net) outflow of a set of vertice equal the sum of net flow of each vertice (Just write the forumla) and is thus equal to zero due to conservation law. So nflow(A, s) + nflow(A, V \ A \ s) = 0 the former is = - nflow(s).
bias: towards property graph / LPG
Building a knowledge graph with a property graph database is straightforward compared to the alternatives. Unlike RDF, property graphs were designed as a database model (rather than data exchange format) for applications and analytics.
In a native property graph like Neo4j, the physical storage model is isomorphic to the logical model. What you draw is what you store.
I have adopted a no-GPT approach here because I believe in smaller open source models. I am using the fantastic Mistral 7B Openorca instruct and Zephyr models. These models can be set up locally with Ollama.
for - open source AI
for - Indyweb dev - open source AI - text to graph - from - search - image - google - AI that converts text into a visual graph - https://hyp.is/KgvS6PmIEe-MjXf4MH6SEw/www.google.com/search?sca_esv=341cca66a365eff2&sxsrf=AHTn8zoosJtp__9BMEtm0tjBeXg5RsHEYA:1741154769127&q=AI+that+converts+text+into+visual+graph&udm=2&fbs=ABzOT_CWdhQLP1FcmU5B0fn3xuWpA-dk4wpBWOGsoR7DG5zJBjLjqIC1CYKD9D-DQAQS3Z598VAVBnbpHrmLO7c8q4i2ZQ3WKhKg1rxAlIRezVxw9ZI3fNkoov5wiKn-GvUteZdk9svexd1aCPnH__Uc8IUgdpyeAhJShdjgtFBxiTTC_0C5wxBAriPcxIadyznLaqGpGzbn_4WepT8N6bRG3HQLK-jPDg&sa=X&ved=2ahUKEwju5oz8ovKLAxW6WkEAHaSVN98QtKgLegQIEhAB&biw=1920&bih=911&dpr=1 - to - example - open source AI - convert text to graph - https://hyp.is/UpySXvmKEe-l2j8bl-F6jg/rahulnyk.github.io/knowledge_graph/
https://rahulnyk.github.io/knowledge_graph/
for - Indyweb dev - text to graph - open source AI - convert text to graph - adjacency - infranodus - to - AI program to convert text into visual graph
for - Indyweb dev - open source AI - text to graph - open source AI - text to graph - from - article - Medium - How to Convert Any Text Into a Graph of Concepts - https://hyp.is/vu53YvmIEe-DuHvXodWFAA/medium.com/towards-data-science/how-to-convert-any-text-into-a-graph-of-concepts-110844f22a1a
for - search - Google - image - AI that converts text into any visual graph - https://www.google.com/search?sca_esv=341cca66a365eff2&sxsrf=AHTn8zoosJtp__9BMEtm0tjBeXg5RsHEYA:1741154769127&q=AI+that+converts+text+into+visual+graph&udm=2&fbs=ABzOT_CWdhQLP1FcmU5B0fn3xuWpA-dk4wpBWOGsoR7DG5zJBjLjqIC1CYKD9D-DQAQS3Z598VAVBnbpHrmLO7c8q4i2ZQ3WKhKg1rxAlIRezVxw9ZI3fNkoov5wiKn-GvUteZdk9svexd1aCPnH__Uc8IUgdpyeAhJShdjgtFBxiTTC_0C5wxBAriPcxIadyznLaqGpGzbn_4WepT8N6bRG3HQLK-jPDg&sa=X&ved=2ahUKEwju5oz8ovKLAxW6WkEAHaSVN98QtKgLegQIEhAB&biw=1920&bih=911&dpr=1
search - google - image - AI that converts text into visual graph - interesting results returned - to - article - Medium - How to convert any text into a graph of concepts -
losing synaptic density they're losing synapsis they're not brain cells
> for - addiction - graph - years of use vs loss of synaptic connections
so because now the mind is not because the the the mind isn't separate from everything else your mind begins to become more and more synchronistic
for - insight - embodied wisdom of interdependent origination - increase in synchronicity - John Churchill - metaphor - node in an interconnected graph of reality
insight - embodied wisdom of interdependent origination - increase in synchronicity - John Churchill - This is an interesting insight - We can possibly explain it this way: - When we have a limited embodiment of who we are as the traditional ego-bound-to-body, our experiences are interpreted in a limited way, though we aren't aware of it - However, when we have a more expanded embodiment of who we are that is more nondualistic, in which - sense of self and - the environment - become blurred due to experiencing cause-and-effect between self and environment in a more nuanced way - When we don't have enough perceptual acuity to understand that one event is related to another, we infer correlation instead of causality - events that appeared random from the limited perspective become nonrandom and more noticed at the more expansive perspective - From a more expansive perspective, we could feel more strings attached to us and events pull on us through those connecting strings - When we feel separate, we don't experience the pull of those connecting strings - Indeed, we do not even perceive there to be strings that connect us
metaphor - node in an interconnected graph of reality - One possible metaphor is that as we expand our perception and cognition, we become more aware that we are like a node with infinite connections to other nodes of reality
How to Spot Emerging Note Clusters Without Alphanumeric Note Numbering? by [[Ton Zijlstra]] in Interdependent Thoughts
I recall Bob Doto had a video at some point in which he used the local graph to show relationships to find bunches of notes for potentially writing pieces or articles as indicated in Tons' article.
One of the biggest issues with digital note taking tools is that they don't make it easy to see and identify chains of notes which might make for articles, chapters, or books.
Surely there must be some way to calculate neighborhoods of notes from a topological perspective? Perhaps if one imposed a measure on the space to create relative distances of notes?
focusing on dynamic problems where data in a graph network change over time.When a dataset has billions or trillions of data points, running an algorithm from scratch to make one small change could be extremely expensive from a computational point of view. He and his students design parallel algorithms that process many updates at the same time, improving efficiency while preserving accuracy.
for - Indyweb dev - dynamic graph networks
for - search - google - high resolution addressing of disaggregated text corpus mapped to graph - search results of interest - high resolution addressing of disaggregated text corpus mapped to graph
search - google - high resolution addressing of disaggregated text corpus mapped to graph - https://www.google.com/search?q=high+resolution+addressing+of+disaggregated+text+corpus+mapped+to+graph&oq=high+resolution+addressing+of+disaggregated+text+corpus+mapped+to+graph&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIHCAEQIRigATIHCAIQIRigAdIBCTMzNjEzajBqN6gCALACAA&sourceid=chrome&ie=UTF-8
to - search results of interest - high resolution addressing of disaggregated text corpus mapped to graph - A New Method for Graph-Based Representation of Text in - The use of a new text representation method to predict book categories based on the analysis of its content resulted in accuracy, precision, recall and an F1- ... - https://hyp.is/H9UAbk46Ee-PT_vokcnTqA/www.mdpi.com/2076-3417/10/12/4081 - Encoding Text Information with Graph Convolutional Networks - According to our understanding, this is the first personality recognition study to model the entire user text information corpus as a heterogeneous graph and ... - https://hyp.is/H9UAbk46Ee-PT_vokcnTqA/www.mdpi.com/2076-3417/10/12/4081
he most commonly used personality model is the Big Five personality traits model, which describes personality in five aspects: extroversion, neuroticism, agreeableness, conscientiousness, and openness
for - from - search - google - high resolution addressing of disaggregated text corpus mapped to graph
from - search - google - high resolution addressing of disaggregated text corpus mapped to graph - https://hyp.is/ch_J9k43Ee-lGzfOapoCvQ/www.google.com/search?q=high+resolution+addressing+of+disaggregated+text+corpus+mapped+to+graph&oq=high+resolution+addressing+of+disaggregated+text+corpus+mapped+to+graph&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIHCAEQIRigATIHCAIQIRigAdIBCTMzNjEzajBqN6gCALACAA&sourceid=chrome&ie=UTF-8
An innovative element of the proposed approach is the use of common cliques in graphs representing documents to create a feature vector.
for - further research - common cliques in graphs - question - relevance to disaggregating text corpus into sub-sentence graph nodes?
for - from - search - google - high resolution addressing of disaggregated text corpus mapped to graph
from - search - google - high resolution addressing of disaggregated text corpus mapped to graph - https://hyp.is/ch_J9k43Ee-lGzfOapoCvQ/www.google.com/search?q=high+resolution+addressing+of+disaggregated+text+corpus+mapped+to+graph&oq=high+resolution+addressing+of+disaggregated+text+corpus+mapped+to+graph&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIHCAEQIRigATIHCAIQIRigAdIBCTMzNjEzajBqN6gCALACAA&sourceid=chrome&ie=UTF-8
If all human data were structured in one massive knowledge-graph (a global knowledge graph), we could unlock this potential. Fortunately, Solid is that knowledge graph.
Since federation within a Matrix room is effectively full-mesh, you need to be able to exchange data with all servers that are participating in a given room directly
but limiting the conference to 7 or 8 participants given all the duplication of the sent video required. In Element Call Beta 2, end-to-end encryption was enabled; easy, given it’s just a set of 1:1 calls.
I imagine having to transmit stuff to every peer would not work well for low-bandwidth devices.
Also, complete connectivity graph is a LOT of connections.
Additionally, given one channel fails - recipient doesn't see content, while others do. (they could have broadcasted it, hey!)
Also, won't scale for streaming.
https://incompetech.com/graphpaper/
Reminder: is there a GitHub project that has LaTeX layouts like these?
let's take a look at everything here before the purple line
for: sleep apnea - graph
graph: sleep apnea
for: wikinizer, Indyweb - graph, Indranet - graph, Gyuri Lajos
comment
I do expect new social platforms to emerge that focus on privacy and ‘fake-free’ information, or at least they will claim to be so. Proving that to a jaded public will be a challenge. Resisting the temptation to exploit all that data will be extremely hard. And how to pay for it all? If it is subscriber-paid, then only the wealthy will be able to afford it.
Fig. 3. Remaining carbon budget and millionaire emission growth, 2022–2050*.
Graph - millionaire emission growth vs remaining carbon budget - Note the year 2037 on this graph - This is when millionaire emissions exceeds remaining carbon budget
Fig. 4. Millionaire numbers (nominal) by region: 1990, 2020, 2050
graph - millionaire numbers by region - 1990 - 2020 - 2050
Using a logarithmic axes on a bar graph rarely make sense.
fz is less about the tree (though that is important) and more about the UX.
I do like the framing of folgezettel as a benefit with respect to user experience.
There is a lot of mention of the idea of trees within the note taking and zettelkasten space, but we really ought to be looking more closely at other living systems models like rhizomes and things which have a network-like structure.
two-way links
🌟 Highlight words as they are spoken (karaoke anybody?). 🌟 Navigate video by clicking on words. 🌟 Share snippets of text (with video attached!). 🌟 Repurpose by remixing using the text as a base and reference.
If I understand it correctly, with hyperaudio, one can also create transcription to somebody else's video or audio when embedded.
In that case, if you add to hyperaudio the annotation capablity of hypothes.is or docdrop, the vision outlined in the article on Global Knowledge Graph is already a reality.
Paper by Gyuri Lajos and Andras Benedek. Gyuri's context was recommended by @wfinck. Looks like it pertains to knowledge graphs. Gyuri's own annotation calls it a "meta-knowledge graph"
A beautiful example of a note that imbeds core zettels that simultaneously make connections within a Zettelkasten. Each page for a note displays the network of notes and their connections. The website is based on an open-source template
The source code for the site is here
Capture Cards (red) 4.00 Beautifully Useful 3″ x 5″ Index Cards (Pack of 100)I created my Capture Cards to help make it easier for me to capture ideas, make notes, and record tasks as they happen. Good tools have a way of removing frustration and stress from a workflow, and for me, these cards do just that.Just enough structure to help you capture, but not enough to get in the way.They’re printed full-bleed on 70lb (heavy and durable) premium smooth white cover stock, and you get 100 2-sided cards in each pack. They feel great in your hand, yet hold up well in your pocket.
https://web.archive.org/web/20140707053048/http://www.getfrictionless.com/products/capture-cards-red
Simple index cards, but sold with a purpose in mind: capturing notes!
One is reminded here of waste books and fleeting notes.
Image:<br />
Pen + Gear Graph-Ruled Index Cards. They’re a bit on the thin side, but they take ink well, without feathering or bleeding through. And they’re printed with a very fine light-blue grid (five squares to the inch) that doesn’t get in the way of what one is writing or drawing or mapping. These cards are much better than Oxford or Staples grid cards, and a fraction of the cost of Exacompta: 48¢ for 100 cards. Highly recommended.
https://mleddy.blogspot.com/2017/08/index-card-recommendation.html
Walmart has these index cards, but only in 3x5" format.
For the sake of simplicity, go to Graph Analysis Settings and disable everything but Co-Citations, Jaccard, Adamic Adar, and Label Propogation. I won't spend my time explaining each because you can find those in the net, but these are essentially algorithms that find connections for you. Co-Citations, for example, uses second order links or links of links, which could generate ideas or help you create indexes. It essentially automates looking through the backlinks and local graphs as it generates possible relations for you.
comment on: https://www.youtube.com/watch?v=9OUn2-h6oVc
graphs
graph 深度学习动态
Some digital notes apps allow you to displayonly the images saved in your notes, which is a powerful way ofactivating the more intuitive, visual parts of your brain.
Visual cues one can make in their notes and user interfaces that help to focus or center on these can be useful reminders for what appears in particular notes, especially if visual search is a possibility.
Is this the reason that Gyuri Lajos very frequently cuts and pastes images into his Hypothes.is notes?
Which note taking applications leverage this sort of visual mnemonic device? Evernote did certainly, but other text heavy tools like Obsidian, Logseq, and Roam Research don't. Most feed readers do this well leveraging either featured photos, photos in posts, or photos in OGP.
```sparql PREFIX rdfs: http://www.w3.org/2000/01/rdf-schema# PREFIX i: http://learningsparql.com/ns/instrument/ PREFIX s: http://learningsparql.com/ns/schema/ PREFIX b: http://www.bobdc.com/ns/beatles/
SELECT ?britishGroup WHERE { ?bassist b:favoriteBritishGroup ?britishGroup . SERVICE https://dydra.com/bobdc/beatles-musicians/sparql { SELECT ?bassist WHERE { ?song a s:Song ; rdfs:label "The Long And Winding Road" ; i:bass ?bassist . } } } ```
Luka Mesin [@LukaMesin]. (2021, November 10). @VaccinationEu We can also include the number of cases for the same period. Https://t.co/A6d7mi7F3k [Tweet]. Twitter. https://twitter.com/LukaMesin/status/1458553796808806403
ReconfigBehSci [@SciBeh]. ‘RT @vikkypaedia: B.1.1.529 Seems to Have Gone from 0.1% to 50% in Just a Couple of Weeks, When It Took Delta Several Months to Achieve That…’. Tweet. Twitter, 26 November 2021. https://twitter.com/SciBeh/status/1464194450406752282.
ReconfigBehSci [@SciBeh]. ‘RT @DrEricDing: How It Started 3 Months Ago— How It’s Going. #COVID19 Https://T.Co/SMqGrzRgy7’. Tweet. Twitter, 10 December 2021. https://twitter.com/SciBeh/status/1469596670690267140.
Prof. Christina Pagel. (2021, December 29). Omicron was dominant everywhere in England by Christmas https://t.co/x58pJi7VcD [Tweet]. @chrischirp. https://twitter.com/chrischirp/status/1476161382852796419
(20) Prof. Christina Pagel on Twitter: “THREAD (a bit delayed) on UK & covid: TLDR: flattish cases overall are masking differences between nations, regions & age groups. And we’re still out of whack with Europe. 1/20” / Twitter. (n.d.). Retrieved October 4, 2021, from https://twitter.com/chrischirp/status/1443261013911085056
Dr Duncan Robertson [@Dr_D_Robertson]. (2021, October 29). ONS Covid survey. 2% of the population +ve. “The percentage of people testing positive for COVID-19 increased for all age groups, except for those in school Year 12 to those aged 34 years, where the trend was uncertain in the week ending 22 October 2021” https://ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/coronaviruscovid19infectionsurveypilot/29october2021 https://t.co/1n9KVq6wDT [Tweet]. Twitter. https://twitter.com/Dr_D_Robertson/status/1454050450106376192
ReconfigBehSci. (2021, March 18). A devastating graph that any proponent of ‘natural’ herd immunity needs to address [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1372580461420154880
Coronavirus (COVID-19) Infection Survey, UK: 29 October 2021, Office for National Statistics
A filing system is indefinitely expandable, rhizomatic (at any point of timeor space, one can always insert a new card); in contradistinction with the sequen-tial irreversibility of the pages of the notebook and of the book, its interiormobility allows for permanent reordering (for, even if there is no narrative conclu-sion of a diary, there is a last page of the notebook on which it is written: its pagesare numbered, like days on a calendar).
Most writing systems and forms force a beginning and an end, they force a particular structure that is both finite and limiting. The card index (zettelkasten) may have a beginning—there's always a first note or card, but it never has to have an end unless one's ownership is so absolute it ends with the life of its author. There are an ever-increasing number of ways to order a card index, though some try to get around this to create some artificial stability by numbering or specifically ordering their cards. New ideas can be accepted into the index at a multitude of places and are always internally mobile and re-orderable.
link to Luhmann's works on describing this sort of rhizomatic behavior of his zettelkasten
Within a network model framing for a zettelkasten, one might define thinking as traversing a graph of idea nodes in a particular order. Alternately it might also include randomly juxtaposing cards and creating links between ones which have similarities. Which of these modes of thinking has a higher order? Which creates more value? Which requires more work?
The latest advances in machine learning — namely transformers and self-supervised learning in natural language processing — will also make it possible to build personalized discovery engines that organize and surface information that is timely, relevant, and impactful
And possibly summarize it. And connect it to your own knowledge graph.
Readwise's spaced repetition and integration with Roam/Obsidian is doing some cool stuff with surfacing connections and serendipitous reminders. Here is a Twitter thread I wrote to myself when I started playing with it: https://twitter.com/alexbowe/status/1476817961897783296
christoph chorherr. (2022, January 13). Bleibt allergrößtes menschliches Rätsel für mich. Das zu wissen, und sich “aus Überzeugung”, “trotzdem” nicht impfen zu lassen. Https://t.co/WlGGk5vmeN [Tweet]. @chorherr. https://twitter.com/chorherr/status/1481505797867724803
wsbgnl. (2022, January 6). Daily COVID-19 hospitalization in the US: observed and forecasted https://covid19forecasthub.org https://t.co/f1rqUhz1mE [Tweet]. @wsbgnl. https://twitter.com/wsbgnl/status/1479162051306033153
It should be recognized that these basic note types are very different than the digital garden framing of 📤 (seedbox), 🌱 (seedling), 🪴 (sapling), 🌲 (evergreen), etc. which are another measure of the growth and expansion of not just one particular idea but potentially multiple ideas over time. These are a project management sort of tool for focusing on the growth of ideas. Within some tools, one might also use graph views and interconnectedness as means of charting this same sort of growth.
Sönke Ahrens' framing of fleeting note, literature note, and permanent note are a value assignation to the types of each of these notes with respect to generating new ideas and writing.
https://github.com/SkepticMystic/graph-analysis
Analyse the structure of your Obsidian graph using various analysis techniques
https://www.youtube.com/watch?v=z3Tvjf0buc8
; graph thinking : focuses on relationships to turn data into information and uses patterns to find meaning
Use for dependency analysis
Prof Kamlesh Khunti. (2021, November 26). If you have any doubts about the benefits of #COVIDVaccination, than please look at the graph below on patients admitted to intensive care unit with #COVID19 #VaccinesSaveLives https://icnarc.org/our-audit/audits/cmp/reports @fascinatorfun https://t.co/dorA9tpJym [Tweet]. @kamleshkhunti. https://twitter.com/kamleshkhunti/status/1464280069707374595
Holder, Josh. ‘Tracking Coronavirus Vaccinations Around the World’. The New York Times, 29 January 2021, sec. World. https://www.nytimes.com/interactive/2021/world/covid-vaccinations-tracker.html.
we could look at at these sort of transitions in a sort of a two-dimensional uh graph in a sense and so we can start out and say okay groups can have more or 00:09:22 less conflict within them and groups can have more or less cooperation occurring within them and so if they are 00:09:34 down here in the left hand lower quadrant you basically are looking at more or less individuals so competitors so conflict not so much cooperation 00:09:48 if you move to the right hand side you start to form simple groups again individuals may come together to reap certain benefits and these benefits can be as simple as sort of 00:10:01 a selfish herd reducing predator risk predation risk and so on so not necessarily a lot of overt cooperation not necessarily a lot of 00:10:14 conflict going on then as you move to the upper left-hand quadrant you have groups that are now societies in other words there there might be rules as to who belongs 00:10:27 to the group uh there might be more cooperation within that within that group but also more conflict in the sense that the cooperation is producing benefits 00:10:38 and there may be conflicts over who is required to actually produce the benefits and how those benefits are actually shared within that group and then finally 00:10:49 uh if you can reduce that conflict uh such that everyone everyone more or less cooperates and doesn't doesn't there's the in any senses conflict with each other you can 00:11:02 actually turn the group into or the society into a coherent uh single organism at which point you may go back and start the whole process again
Situatedness of modern human societies within this two dimensional graph is interesting. Although the images shown are of multi-cellular organisms, it can equally apply to smaller living units such as autonomously living genes, mitochondria or eukaryotes.
In this proposed system, tags are full-fledged standalone files. They can be published and discussed just like any traditional heavyweight file can.
Tags are first class
The solution is to create a tag file that points to the original and edited photo, like DerivedWork(original=(some hash), derived=(some hash)).
Relational tags
Great teams have a plan to win when -- surprise, surprise -- they learn that a dozen other teams are pursuing their previously-thought-to-be-unique idea. They persevere when others (including us) tell them that ideas are cheap until they are brought to life. They both see themselves as unique and list many companies as their competitors.
We believe more work in the future will look like that of software developers today (automating away tasks and harnessing the flexible power of computers to get work done)
Soon we will see a one-person billion-dollar company, as many of the most talented individuals choose to work for themselves — as founders, in the creator economy, as freelancers, or in some other way.
Greg Jericho. (2021, August 29). The next fortnight could get pretty damn ugly. Here’s hoping the we are near the peak https://t.co/HW1JY4xy8c [Tweet]. @GrogsGamut. https://twitter.com/GrogsGamut/status/1431789682380066818
Mind Graph is a tool for collaboratively creating and sharing mind maps.
Pablo Tsukayama on Twitter. (n.d.). Twitter. Retrieved 4 October 2021, from https://twitter.com/pablotsukayama/status/1435725621599027202
Using The Global Relationship Graph To Examine Claims About Covid-19 Vaccination And Infertility Or Bell’s Palsy – The GDELT Project. (n.d.). Retrieved May 14, 2021, from https://blog.gdeltproject.org/using-the-global-relationship-graph-to-examine-claims-about-covid-19-vaccination-and-infertility-or-bells-palsy/
Coronavirus Pandemic Data Explorer. (n.d.). Our World in Data. Retrieved March 3, 2021, from https://ourworldindata.org/coronavirus-data-explorer
COVID-19 | European Centre for Disease Prevention and Control. (n.d.). Retrieved March 1, 2021, from https://qap.ecdc.europa.eu/public/extensions/COVID-19/COVID-19.html#global-overview-tab
Announcing The Global Numeric Graph – The GDELT Project. (n.d.). Retrieved May 14, 2021, from https://blog.gdeltproject.org/announcing-the-global-numeric-graph/
A Timeline Of Infection, Death And Vaccination Count Mentions In The News During Covid-19 Using The Global Numeric Graph – The GDELT Project. (n.d.). Retrieved May 14, 2021, from https://blog.gdeltproject.org/a-timeline-of-infection-death-and-vaccination-count-mentions-in-the-news-during-covid-19-using-the-global-numeric-graph/
A Daily Timeline Of Key Vaccine Topics In 2021 Through A TF-IDF BigQuery Analysis Of The Global Relationship Graph – The GDELT Project. (n.d.). Retrieved May 14, 2021, from https://blog.gdeltproject.org/a-daily-timeline-of-key-vaccine-topics-in-2021-through-a-tf-idf-bigquery-analysis-of-the-global-relationship-graph/
Using The Global Quotation Graph To Examine Statements About Covid-19 Vaccination And Infertility Or Bell’s Palsy – The GDELT Project. (n.d.). Retrieved May 14, 2021, from https://blog.gdeltproject.org/using-the-global-quotation-graph-to-examine-statements-about-covid-19-vaccination-and-infertility-or-bells-palsy/
Europe is becoming more pro-vaccine | YouGov. (n.d.). Retrieved March 1, 2021, from https://yougov.co.uk/topics/international/articles-reports/2021/01/22/europe-becoming-more-pro-vaccine
Ciccione, L., Sablé-Meyer, M., & Dehaene, S. (2021). Analyzing the misperception of exponential growth in graphs. PsyArXiv. https://doi.org/10.31234/osf.io/dah3x
Active Indexers, Curators and Delegators can earn income from the network proportional to the amount of work they perform and their GRT stake.
Curators are subgraph developers, data consumers or community members who signal to Indexers which APIs should be indexed by The Graph Network. Curators deposit GRT into a bonding curve to signal on a specific subgraph and earn a portion of query fees for the subgraphs they signal on; incentivizing the highest quality data sources. Curators will curate on subgraphs and deposit GRT via the Graph Explorer dApp. Because this occurs on a bonding curve, that means that the earlier you signal on a subgraph, the greater share of the query fees you earn on that subgraph for a given amount of GRT deposited. This also means that when you go to withdraw, you could end up with more or less GRT than you started with.
cryptoeconomics still amazes me, how everything can be an opportunity for 'investment'
Build data pipelines, the easy way
orchest
Jonathan Robinson on Twitter. (n.d.). Twitter. Retrieved 6 September 2021, from https://twitter.com/jon_m_rob/status/1431734411335176199
(((Howard Forman))) on Twitter. (n.d.). Twitter. Retrieved 21 August 2021, from https://twitter.com/thehowie/status/1428350804516212737
Mark Davyd. “This Is the Most Important Graph of the ‘Third Wave’. Thanks to @guardian for Producing It. Https://T.Co/IVBwP6QWxc.” Tweet. @markdavyd (blog), July 2, 2021. https://twitter.com/markdavyd/status/1410803538901573633.
In 1963, Ted Nelson coined the terms 'hypertext' and 'hypermedia' as part of a model he developed for creating and using linked content (first published reference 1965).[7] He later worked with Andries van Dam to develop the Hypertext Editing System (text editing) in 1967 at Brown University.
Vector assets library for personal and business usage.
Hiroki Sayama. (2021, May 28). Weekly update This will be the last US domestic visualization Details -> https://github.com/hsayama/COVID-19-geographical-animations https://t.co/Mz23MDaa6l [Tweet]. @HirokiSayama. https://twitter.com/HirokiSayama/status/1398344774843781128
Dvir Aran. (2021, July 27). You’ve probably seen reports from Israel on low vaccine effectiveness in this wave. Is it because of Delta? Waning immunity? We think the reason is mostly that we got the denominator wrong. Https://t.co/yloh5Vo9Xi [Tweet]. @dvir_a. https://twitter.com/dvir_a/status/1420059124700700677
Adam Kucharski. (2021, June 27). Update: Https://t.co/WUf7IItdDj [Tweet]. @AdamJKucharski. https://twitter.com/AdamJKucharski/status/1409088075783979012
ReconfigBehSci on Twitter: ‘RT @AdamJKucharski: Worth reading thread below – and here’s current epidemic curve for comparison: Https://t.co/N6LCEssp1Z https://t.co/yDC…’ / Twitter. (n.d.). Retrieved 29 July 2021, from https://twitter.com/SciBeh/status/1409530195099328514
Nicola Low #EveryDayCounts #StillFBPE on Twitter. (2020). Twitter. Retrieved 27 February 2021, from https://twitter.com/nicolamlow/status/1336958661151821825
Eric Topol. (2021, May 21). We’re now very close to the lowest US death rate since the start of the pandemic https://t.co/8kQVxdwL3t [Tweet]. @EricTopol. https://twitter.com/EricTopol/status/1395767407331876869
ReconfigBehSci. (2021, June 9). RT @EricTopol: How to reduce the case fatality rate in each age group? Give them vaccines By @VictimOfMaths https://t.co/S0d9tpfxao https:… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1402655685217718272
Nick Holliman. (2021, May 30). @anthonybmasters @d_spiegel A quick visual summary of data on this week’s article by @anthonybmasters & @d_spiegel The outlook is uncertain, although we have survived a variant once already (B.1.1.7). The data on the effect of variants is analysed as fast as it (reliably) arrives. Https://t.co/vOKmCxYMGT https://t.co/3ZeJJTdRs3 [Tweet]. @binocularity. https://twitter.com/binocularity/status/1398957348492918784
The Greek Analyst on Twitter: ‘Vaccines work, people https://t.co/5Fb8d8evqf’ / Twitter. (n.d.). Retrieved 22 July 2021, from https://twitter.com/GreekAnalyst/status/1417506969028546569
Conor Kelly. (2021, July 14). Correlation between vaccination coverage and COVID hospitalizations per million over time, by state https://t.co/g6AMTDXOzb [Tweet]. @CohoKelly. https://twitter.com/CohoKelly/status/1415310919266095113
BNO Newsroom. (2021, July 14). COVID-19 hospitalizations in Missouri have reached a 5-month high https://t.co/342RW903WS [Tweet]. @BNODesk. https://twitter.com/BNODesk/status/1415105797575610368
Alvin. (2021, July 8). An Estimated 279,000 Deaths & up to 1.25 Million Hospitalizations Averted by U.S. #COVID19 Vaccination Campaign (@commonwealthfnd analysis) 👉 Interpretation: #VaccinesWork Link: Https://t.co/0m8tq3In4f @Alison_Galvani @EricSchneiderMD @Vaccinologist @V2019N #SARSCoV2 https://t.co/SwaWxFnJ2H [Tweet]. @alvie_barr. https://twitter.com/alvie_barr/status/1413150922356654088
Meaghan Kall 🏳️🌈 on Twitter: “The updated cumulative growth curves showing continued exponential growth of B.1.617.2.. Https://t.co/3fmEwU7cP3” / Twitter. (n.d.). Retrieved July 2, 2021, from https://twitter.com/kallmemeg/status/1397981951907217411
ReconfigBehSci. (2021, June 1). RT @nikosbosse: Predictions from the second week of the UK Covid-19 Crowd Forecasting Challenge are in. Https://t.co/GfzSBYRmgq On average… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1399869840928612354
Dr. Tom Frieden. (2021, April 30). Globally, the end of the pandemic isn’t near. More than a million lives depend on improving our response quickly. Don’t be blinded by the light at the end of the tunnel. There isn’t enough vaccine and the virus is gathering strength & speed. Global cooperation is crucial. 1/ [Tweet]. @DrTomFrieden. https://twitter.com/DrTomFrieden/status/1388172436999376899
Winton Centre Cambridge. (n.d.). Retrieved May 12, 2021, from https://wintoncentre.maths.cam.ac.uk/news/latest-data-mhra-blood-clots-associated-astra-zeneca-covid-19-vaccine/
David Benkeser. (2020, November 9). Another view on uncertainty associated based on Pfizer’s results. Even if you were highly skeptical about MRNA vaccines (many are [were?]) with 50% prior belief that VE ~ 0, based on an 8:86 vax:placebo case split, the posterior probability that VE > 75% is ~ 1. Https://t.co/xtBONtGHmT [Tweet]. @biosbenk. https://twitter.com/biosbenk/status/1325856366225993729
Matthias Eberl on Twitter. (n.d.). Twitter. Retrieved 26 February 2021, from https://twitter.com/eberlmat/status/1324313502689972229
(((Howard Forman))). (2020, November 24). Truly good news out of #Italy. And we can all use it. Cases (23K), positive rate (12.3%), and hospitalizations all DOWN. ICU occupancy with smallest increase in months. Deaths (not surprisingly) the one exception with 3rd highest total. Https://t.co/YFh5nd2AXX [Tweet]. @thehowie. https://twitter.com/thehowie/status/1331311384626388994
ReconfigBehSci on Twitter: ‘RT @BQuilty: Inspired by @eliaskrainski’s vaccine uptake pyramid for Brazil, here’s one for England: Https://t.co/TOBNnI5i3d https://t.co/W…’ / Twitter. (n.d.). Retrieved 22 April 2021, from https://twitter.com/SciBeh/status/1385263431398350852
ReconfigBehSci. (2021, April 22). RT @j_mcelroy: I have tremendous news about Prince Rupert. In March, the B.C. city of 12,000 had the highest #COVID19 transmission rate i… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1385196941508857860
ReconfigBehSci. (2021, May 4). RT @CT_Bergstrom: In today’s much-discussed @nytimes story from @apoorva_nyc (https://t.co/WoyAuPyQNt) there is a graph that I find quite p… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1389740184158183427
In a broader sense, taxonomy also applies to relationship schemes other than parent-child hierarchies, such as network structures. Taxonomies may then include a single child with multi-parents, for example, "Car" might appear with both parents "Vehicle" and "Steel Mechanisms"
graph theory is the study of graphs, which are mathematical structures used to model pairwise relations between objects
Devriendt, K., Martin-Gutierrez, S., & Lambiotte, R. (2020). Variance and covariance of distributions on graphs. ArXiv:2008.09155 [Physics, Stat]. http://arxiv.org/abs/2008.09155
Undetected Covid Cases Change the True Shape of the Pandemic—Bloomberg. (n.d.). Retrieved March 1, 2021, from https://www.bloomberg.com/opinion/articles/2020-12-01/undetected-covid-cases-change-the-true-shape-of-the-pandemic
McCabe, Stefan, Leo Torres, Timothy LaRock, Syed Arefinul Haque, Chia-Hung Yang, Harrison Hartle, and Brennan Klein. ‘Netrd: A Library for Network Reconstruction and Graph Distances’. ArXiv:2010.16019 [Physics], 29 October 2020. http://arxiv.org/abs/2010.16019.
Kozlowski, Diego, Jennifer Dusdal, Jun Pang, and Andreas Zilian. ‘Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation’. ArXiv:2011.02887 [Physics], 5 November 2020. http://arxiv.org/abs/2011.02887.
Erich Neuwirth. (2020, November 11). #COVID19 #COVID19at https://t.co/9uudp013px Zu meinem heutigen Bericht sind Vorbemerkungen notwendig. Das EMS - aus dem kommen die Daten über positive Tests—Hat anscheinend ziemliche Probleme. Heute wurden viele Fälle nachgemeldet. In Wien gab es laut diesem [Tweet]. @neuwirthe. https://twitter.com/neuwirthe/status/1326556742113746950
Catherine Rampell. (2020, December 4). The jobs hole remains very, very deep. Today, the U.S. economy still has a greater jobs deficit than was the case at the very worst point of every previous postwar recession, including the Great Recession https://t.co/jYH1AUqBsV [Tweet]. @crampell. https://twitter.com/crampell/status/1334856009207189507
Miro Weinberger. (2020, December 3). Our 1st Covid-19 wastewater tests since Thanksgiving just came in—Virus levels are up significantly citywide. I hope that all of #BTV will look at this graph and see what I see: A call to action, to stop gathering with other households, and to get tested ASAP if you have https://t.co/8nxTwOOcFA [Tweet]. @MiroBTV. https://twitter.com/MiroBTV/status/1334613511692017664
Dr Dominic Pimenta 💙 Please Just Stay At Home. (2021, January 3). @piersmorgan All the times the down-players were plain wrong: Https://t.co/Rx25xBHSgR https://t.co/ilXjRxMtXG [Tweet]. @DrDomPimenta. https://twitter.com/DrDomPimenta/status/1345737029464670208
ReconfigBehSci. (2021, January 12). RT @shaunabrail: Our 4th dashboard launches today at https://t.co/tBn16KDr6h. It focuses on changes in work, revealing a range of employmen… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1349058908023873538
Thomas Van Boeckel. (2020, November 30). Https://t.co/s7o808PE3U now shows the ‘ad-hoc’ bed capacity as well as the bed capacity certified by the Swiss Society of Intensive Care Medicine. Data from partners the Coordinated Sanitary Service of @vbs_ddps. Thanks @nico_criscuolo @ChengZhao20, PhDs at @ETH_en https://t.co/5XxTexVyy9 [Tweet]. @thvanboeckel. https://twitter.com/thvanboeckel/status/1333323133592408064
Here’s a graph they don’t want you to see. (2021, January 25). Sebastian Rushworth M.D. https://sebastianrushworth.com/2021/01/25/heres-a-graph-they-dont-want-you-to-see/
In fact, such small effectively closed scientific communities built on interpersonal relationships already exist to some extent
so the weights in the reputation graph are personal knowledge, not citations or whatever.
Usually while writing a Notion, I show the graph of how it connects to other Notions/Notes alongside it. I set the graph to show not only the 1st level links, as that only shows the links already apparent from the text I have in front of me. I set it to show 3 steps out at the start, and reduce to two steps when there are more links.
This is a great idea that hasn't occurred to me before. When looking for non-obvious relationships between concepts (something that I think forms part of creativity), it makes sense to have the graph view open alongside the note you're working on.
I've spent the last 3.5 years building a platform for "information applications". The key observation which prompted this was that hierarchical file systems didn't work well for organising information within an organisation.However, hierarchy itself is still incredibly valuable. People think in terms of hierarchies - it's just that they think in terms of multiple hierarchies and an item will almost always belong in more than one place in those hierarchies.If you allow users to describe items in the way which makes sense to them, and then search and browse by any of the terms they've used, then you've eliminated almost all the frustrations of a file system. In my experience of working with people building complex information applications, you need: * deep hierarchy for classifying things * shallow hierarchy for noting relationships (eg "parent company") * multi-values for every single field * controlled values (in our case by linking to other items wherever possible) Unfortunately, none of this stuff is done well by existing database systems. Which was annoying, because I had to write an object store.
Impressed by this comment. It foreshadows what Roam would become:
What you need to build a complex information system is:
Knowledge graphs combine characteristics of several data management paradigms: Database, because the data can be explored via structured queries; Graph, because they can be analyzed as any other network data structure; Knowledge base, because they bear formal semantics, which can be used to interpret the data and infer new facts.
Characteristics / benefits of a knowledge graph
The ontology data model can be applied to a set of individual facts to create a knowledge graph – a collection of entities, where the types and the relationships between them are expressed by nodes and edges between these nodes, By describing the structure of the knowledge in a domain, the ontology sets the stage for the knowledge graph to capture the data in it.
How ontologies and knowledge graphs relate.
An ontology is as a formal, explicit specification of a sharedconceptualization that is characterized by high semantic ex-pressiveness required for increased complexity [9]. Ontolog-ical representations allow semantic modeling of knowledge,and are therefore commonly used as knowledge bases in artifi-cial intelligence (AI) applications, for example, in the contextof knowledge-based systems. Application of an ontology asknowledge base facilitates validation of semantic relationshipsand derivation of conclusions from known facts for inference(i.e., reasoning) [9]
Definition of an ontology
A knowledge graph acquires and integrates infor-mation into an ontology and applies a reasonerto derive new knowledge.
Definition of a Knowledge Graph
Maybe your dbt models depend on source data tables that are populated by Stitch ingest, or by heavy transform jobs running in Spark. Maybe the tables your models build are depended on by analysts building reports in Mode, or ML engineers running experiments using Jupyter notebooks. Whether you’re a full-stack practitioner or a specialized platform team, you’ve probably felt the pain of trying to track dependencies across technologies and concerns. You need an orchestrator.Dagster lets you embed dbt into a wider orchestration graph.
It can be common for [[data models]] to rely on other sources - where something like [[Dagster]] fits in - is allowing your dbt fit into a wider [[orchestration graph]]
The needs: keyword enables executing jobs out-of-order, allowing you to implement a directed acyclic graph in your .gitlab-ci.yml. This lets you run some jobs without waiting for other ones, disregarding stage ordering so you can have multiple stages running concurrently.
A spreadsheet may be represented as a directed acyclic graph, with each cell a vertex and an edge connected a cell when a formula references another cell. Other applications include scheduling, circuit design and Bayesian networks.
the name of something and when you press the button to go to the link if it wasn't there it made the card
This is a phenomenally important UX insight and affordance that has become a foundation of how all modern wiki-linking knowledge graph tools work today. Kudos to Ward for this!
Seth Abramson on Twitter. (n.d.). Twitter. Retrieved October 14, 2020, from https://twitter.com/SethAbramson/status/1315856349964759040
(((Howard Forman))) on Twitter. (n.d.). Twitter. Retrieved October 12, 2020, from https://twitter.com/thehowie/status/1315418282590121984
Dr Duncan Robertson on Twitter. (n.d.). Twitter. Retrieved October 12, 2020, from https://twitter.com/Dr_D_Robertson/status/1314544108547997703
Stix, Y. Z., Gary. (n.d.). COVID-19 Is Now the Third Leading Cause of Death in the U.S. Scientific American. Retrieved October 9, 2020, from https://www.scientificamerican.com/article/covid-19-is-now-the-third-leading-cause-of-death-in-the-u-s1/
Luke O’Neill on Twitter. (n.d.). Twitter. Retrieved October 7, 2020, from https://twitter.com/laoneill111/status/1313542640391139329
Fionna O’Leary, 🕯 on Twitter. (n.d.). Twitter. Retrieved October 6, 2020, from https://twitter.com/fascinatorfun/status/1312855480956575744
Long, H., correspondentEmailEmailBioEmailFollowEmail, H. L., Dam, rew V., Fowers, rew V. D. focusing on economic dataEmailEmailBioEmailFollowEmailAlyssa, visualization, A. F. reporter focusing on data, data, analysisEmailEmailBioEmailFollowEmailLeslie S. S. reporter focusing on, & storytellingEmailEmailBioEmailFollowEmail, multimedia. (n.d.). The covid-19 recession is the most unequal in modern U.S. history. Washington Post. Retrieved October 2, 2020, from https://www.washingtonpost.com/graphics/2020/business/coronavirus-recession-equality/
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So Memex was first and foremost an extension of human memory and the associative movements that the mind makes through information: a mechanical analogue to an already mechanical model of memory. Bush transferred this idea into information management; Memex was distinct from traditional forms of indexing not so much in its mechanism or content, but in the way it organised information based on association. The design did not spring from the ether, however; the first Memex design incorporates the technical architecture of the Rapid Selector and the methodology of the Analyzer — the machines Bush was assembling at the time.
How much further would Bush have gone if he had known about graph theory? He is describing a graph database with nodes and edges and a graphical model itself is the key to the memex.
Krista Fischer on Twitter. (n.d.). Twitter. Retrieved September 15, 2020, from https://twitter.com/kristafischer16/status/1305145951955423233
Beautiful, I. is. (n.d.). COVID-19 #CoronaVirus Infographic Datapack. Information Is Beautiful. Retrieved September 15, 2020, from https://informationisbeautiful.net/visualizations/covid-19-coronavirus-infographic-datapack/
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Kiss, I. Z., Miller, J., & Simon, P. L. (2017). Mathematics of Epidemics on Networks: From Exact to Approximate Models. Springer International Publishing. https://doi.org/10.1007/978-3-319-50806-1
Tatiana Prowell, MD on Twitter: “#Coronavirus tracking from @UNC shows 31% of #SARSCoV2 tests run this week were positive, a dramatic increase from previous wks. Is anyone in #publichealth surprised by these outbreaks? I don’t think so. This higher ed experiment is a bad idea in states w/ uncontrolled #COVID19. https://t.co/pfiYlKEcSx” / Twitter. (n.d.). Twitter. Retrieved August 28, 2020, from https://twitter.com/reconfigbehsci/status/1298565943845621760, https://twitter.com/tmprowell/status/1298136038012002304
Santosh, R., Guntuku, S. C., Schwartz, H., Eichstaedt, J., & Ungar, L. (2020). Detecting Symptoms using Context-based Twitter Embeddings during COVID-19. https://openreview.net/forum?id=DFJhXXPZrM7
Timur Kuran on Twitter: “A 56-second overview of the first 5 months of 2020. https://t.co/WRpdHxSc4P” / Twitter. (n.d.). Twitter. Retrieved June 14, 2020, from https://twitter.com/timurkuran/status/1266967109592104964
CSM_seminar Causal Inference Isn't What You Think It Is. (2020). Retrieved 24 August 2020, from https://panopto.lshtm.ac.uk/Panopto/Pages/Viewer.aspx?id=ac88b49f-7e63-458d-823e-abe50152fb66
COVID Recovery Dashboard. Retrieved from https://goodjudgment.io/covid-recovery/#1363 on 12/08/2020
In graph theory, a tree is a connected acyclic graph; unless stated otherwise, in graph theory trees and graphs are assumed undirected. There is no one-to-one correspondence between such trees and trees as data structure.
Leatherby, L. (2020, July 24). How the U.S. Compares With the World’s Worst Coronavirus Hot Spots. The New York Times. https://www.nytimes.com/interactive/2020/07/23/us/coronavirus-hotspots-countries.html
Ruby has some really nice libraries for working with linked data. These libraries allow you to work with the data in both a graph and resource-oriented fashion, allowing a developer to use the techniques that best suit his or her use cases and skills.
Another Ruby gem, Spira, allows graph data to be used as model objects
Sevi, S., Aviña, M. M., Péloquin-Skulski, G., Heisbourg, E., Vegas, P., Coulombe, M., Arel-Bundock, V., Loewen, P. J., & Blais, A. (2020). Logarithmic vs. Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support for Confinement [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/h6z4f
d3-flame-graph
ReconfigBehSci on Twitter: ‘RT @ObsoleteDogma: The U.S. is averaging more new covid cases than any continent is right now https://t.co/O70nj0I4Xo’ / Twitter. (n.d.). Twitter. Retrieved 16 July 2020, from https://twitter.com/SciBeh/status/1282953988774727680
ReconfigBehSci on Twitter: ‘RT @ProjectLincoln: Of course teachers and families are afraid. https://t.co/oQsVtPIlEf’ / Twitter. (n.d.). Twitter. Retrieved 16 July 2020, from https://twitter.com/SciBeh/status/1283272405297897477
JOSE GEFAELL on Twitter: “@MLevitt_NP2013 @ProfKarolSikora @FatEmperor @freddiesayers @AlistairHaimes @RuminatorDan @InProportion2 @LockdownNo @JohnDStats @daniellevitt22 @SunetraGupta @profshanecrotty @unherd @hendrikstreeck @carlheneghan @kerpen @andreascaie @Cescoxonta @profshanecrotty https://t.co/Wna7GTlVbu” / Twitter. (n.d.). Twitter. Retrieved July 10, 2020, from https://twitter.com/chgefaell/status/1279442411240947713
Shah, C., Dehmamy, N., Perra, N., Chinazzi, M., Barabási, A.-L., Vespignani, A., & Yu, R. (2020). Finding Patient Zero: Learning Contagion Source with Graph Neural Networks. ArXiv:2006.11913 [Cs]. http://arxiv.org/abs/2006.11913
Ezra Klein on Twitter: “This is a governance failure, not an inevitability of the disease. https://t.co/A083PtNvD3” / Twitter. (n.d.). Twitter. Retrieved July 1, 2020, from https://twitter.com/ezraklein/status/1277641430962323456
Matthias #WashYourHands Egger on Twitter: “The effective reproduction number Re is now above 1 in #Switzerland: 1.28 (95% 1.06-1.53). We urgently need an in-depth understanding of transmission dynamics, the effectiveness of contact tracing etc. And #MaskUp https://t.co/24E5o4jYiS” / Twitter. (n.d.). Twitter. Retrieved June 30, 2020, from https://twitter.com/eggersnsf/status/1276882802173247490
Causal inference isn’t what you think it is. (n.d.). LSHTM. Retrieved June 26, 2020, from https://www.lshtm.ac.uk/newsevents/events/causal-inference-isnt-what-you-think-it
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Prof Shamika Ravi on Twitter: “1) ACTIVE cases...shows which countries have 1) Peaked: Germany, S Korea, Japan, Italy, Spain... 2) Plateaued: France 3) Yet to peak: US, UK, Brazil, India...active cases still rising. 4) Second wave: Iran and.... Spain (?) https://t.co/C5c3gAhINc” / Twitter. (n.d.). Twitter. Retrieved June 2, 2020, from https://twitter.com/ShamikaRavi/status/1267664491040440322
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Tann, W. J.-W., Chang, E.-C., & Hooi, B. (2020). SHADOWCAST: Controlling Network Properties to Explain Graph Generation. ArXiv:2006.03774 [Cs, Stat]. http://arxiv.org/abs/2006.03774
Van Mieghem, P., & Wang, F. (2020). Time dependence of susceptible-infected-susceptible epidemics on networks with nodal self-infections. Physical Review E, 101(5), 052310. https://doi.org/10.1103/PhysRevE.101.052310
Cai, L., Chen, Z., Luo, C., Gui, J., Ni, J., Li, D., & Chen, H. (2020). Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. ArXiv:2005.07427 [Cs, Stat]. http://arxiv.org/abs/2005.07427
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Blanchard, M. A., & Heeren, A. (2020). Why We Should Move from Reductionism and Embrace a Network Approach to Parental Burnout? [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/y34cq
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Eric Topol on Twitter
The COVID Tracking Project - Twitter
Tsitsulin, A. & Perozzi B. Understanding the Shape of Large-Scale Data. (2020 May 05). Google AI Blog. http://ai.googleblog.com/2020/05/understanding-shape-of-large-scale-data.html