Phil 12.15.16

7:00 – 5:30 ASRC

  • This came across my Twitter feed this morning:  Indivisible: A Practical Guide for Resisting the Trump Agenda. It’s written by Hill staffers (Apparently), and says something interesting about the Tea Party:
    • They were locally focused. The Tea Party started as an organic movement built on small local groups of dedicated conservatives. Yes, they received some support/coordination from above, but fundamentally all the hubbub was caused by a relatively small number of conservatives working together. To summarize:
      • Groups started as disaffected conservatives talking to each other online. In response to the 2008 bank bailouts and Obama’s election, groups began forming to discuss their anger and what could be done. They eventually realized that the locally-based discussion groups themselves could be a powerful tool.
      • Groups were small, local, and dedicated. Local Tea Party groups could be fewer than 10 people, but they were highly localized and dedicated significant personal time and resources. Members communicated with each other regularly, tracked developments in Washington, and coordinated advocacy efforts together.
      • Groups were relatively small in number. The Tea Party was not hundreds of thousands of people spending every waking hour focused on advocacy. Rather, the efforts were somewhat modest. Only 1 in 5 self-identified Tea Partiers contributed money or attended events. On any given day in 2009 or 2010, only twenty local events–meetings, trainings, townhalls, etc–were scheduled nationwide. In short, a relatively small number of groups were having a big impact on the national debate.
    • In reading this, I hear several things
      • Group polarization can start or be furthered by small groups. Indeed, it’s the embodiment of the Margaret Mead quote: Never doubt that a small group of thoughtful, committed citizens can change the world; indeed, it’s the only thing that ever has. This also jibes with Sunstein’s statement that small, polarized groups can act like incubators.
      • Though polarized, the members “tracked developments in Washington”, so they were informed. I’d really like to know their sources of information.
      • Scattered groups that are loosely coupled may have a bigger impact than a large single group.
  • Continuing with Sociophysics
    • Social Phenomena on complex networks
    • Dynamical Processes on Complex Networks. Got the Kindle edition so now I can search! Interesting section: 10.6 Coevolution of opinions and network
    • Similar chapter in this book – Social Phenomena on coevolutionary networks [pg 166]. One of the interesting things here is the use of the iterated prisoner’s dilemma. On a network, the agents typically calculate and aggregate payoff and imitate the strategy of the neighbor with the best payoff. In the coevolutionary model, an agent can cut off the link to a defector with a probability. This seems a bit like polarization, where the group severs ties with entities with sufficiently divergent views (and individuals leave when the group becomes too extreme)
    • Coevolution of agents and networks: Opinion spreading and community disconnection Abstract: We study a stochastic model for the coevolution of a process of opinion formation in a population of agents and the network which underlies their interaction. Interaction links can break when agents fail to reach an opinion agreement. The structure of the network and the distribution of opinions over the population evolve towards a state where the population is divided into disconnected communities whose agents share the same opinion. The statistical properties of this final state vary considerably as the model parameters are changed. Community sizes and their internal connectivity are the quantities used to characterize such variations.
  • adam g. dunn
    clinical epidemiology and medical informatics. Looking for PhD’s working on misinformation
  • Sprint grooming
  • Got the data for the npi_raw_integrity_ci_tbl_eligibility_chiroacup_polyrx table. Turning into pivot tables.
  • Can now read a single matrix into NmFModelGui, factor, and build the product matrix.

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