57 Matching Annotations
  1. Last 7 days
    1. In this work, we develop the “Multi-Agent, Multi-Attitude” (MAMA) model which incorporates several key factors of attitude diffusion: (1) multiple, interacting attitudes; (2) social influence between individuals; and (3) media influence. All three components have strong support from the social science community.

      several key factors of attitude diffusion: 1. multiple, interacting attitudes 2. social influence between individuals 3. media influence

  2. May 2022
    1. Indeed, as David Haskell, a biologist and writer, notes, a tree is “a community of cells” from many species: “fungus, bacteria, protist, alga, nematode and plant.” And often “the smallest viable genetic unit [is] … the networked community.”

      Explore this idea....

      What does it look like quantitatively?

  3. Feb 2022
  4. Jan 2022
  5. Nov 2021
  6. Oct 2021
  7. Sep 2021
  8. Aug 2021
  9. Jul 2021
    1. Leah Keating on Twitter: “This work with @DavidJPOS and @gleesonj is now on arXiv (https://t.co/hxjZnCmKcM): ‘A multi-type branching process method for modelling complex contagion on clustered networks’ Here is a quick overview of our paper: (1/6) https://t.co/3jQ2flhk71” / Twitter. (n.d.). Retrieved July 23, 2021, from https://twitter.com/leahakeating/status/1418150117106978816

  10. Jun 2021
  11. May 2021
    1. Network science is now a mature research field, whose growth was catalysed by the introduction of the ‘small world’ network model in 1998. Networks give mathematical descriptions of systems containing containing many interacting components, including power grids, neuronal networks and ecosystems. This collection brings together selected research, comments and review articles on how networks are structured (Layers & structure); how networks can describe healthy and disordered systems (Brain & disorders); how dynamics unfold on networks (Dynamics & spread); and community structures and resilience in networks (Community & resilience).

      This is a great looking collection of articles on network science.

  12. Mar 2021
  13. Feb 2021
  14. Oct 2020
    1. First, I will focus in these larger groups because reviews that transcend the boundary between the social and natural sciences are rare, but I believe them to be valuable. One such review is Borgatti et al. (2009), which compares the network science of natural and social sciences arriving at a similar conclusion to the one I arrived.
    2. For instance, in the study of mobile phone networks, the frequency and length of interactions has often been used as measures of link weight (Onnela et al. 2007), (Hidalgo and Rodriguez-Sickert 1008), (Miritello et al. 2011).

      And they probably shouldn't because typically different levels of people are making these decisions. Studio brass and producers typically have more to say about the lead roles and don't care as much about the smaller ones which are overseen by casting directors or sometimes the producers. The only person who has oversight of all of them is the director, and even then they may quit caring at some point.

    3. heterogeneous networks have been found to be effective promoters of the evolution of cooperation, since there are advantages to being a cooperator when you are a hub, and hubs tend to stabilize networks in equilibriums where levels of cooperation are high (Ohtsuki et al. 2006), (Pacheco et al. 2006), (Lieberman et al. 2005), (Santos and Pacheco 2005).
    1. His weak-tie networks had been politically activated

      This makes me wonder if she's cited Mark Granovetter or any of similar sociologists yet?

      Apparently she did in footnote 32 in chapter 1. Ha!

    2. Only a segment of the population needs to be connected digitally to affect the entire environment. In Egypt in 2011, only 25 percent of the population of the country was on-line, with a smaller portion of those on Facebook, but these people still managed to change the wholesale public discussion, including conversa-tions among people who had never been on the site.

      There's some definite connection to this to network theory of those like Stuart Kaufmann. You don't need every node to be directly connected to create a robust network, particularly when there are other layers--here interpersonal connections, cellular, etc.

  15. Sep 2020
  16. Aug 2020
  17. Jul 2020
  18. Jun 2020
  19. May 2020
  20. Apr 2020