What is Social Complexity?

Social complexity is the study of social phenomenon through the lens of complex systems.  This often includes building computational models of social behavior, some of which are related to computer science topics such as: cellular automaton, genetic algorithms, or neural networks.  Social network analysis is also related to social complexity as it is used to quantify relationships, roles, and organization amongst agents.

A few research organizations involved in social complexity:

A few books of interest:

Two notable blogs:

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    (Figure source: Wikipedia)

    Finger, decentralized social networks, and ownership

    A group of developers have started WebFinger, an open source project to revive finger by implementing it atop HTTP.  Although finger was historically used for supplying contact information and personal news, similar to personal blogs, a new webfinger + online storage gives users the ability to consolidate their online persona and retain ownership of content such as photos, videos, blog posts, and personal opinions. This is a step towards reclaiming personal ownership of online content and not filling out the same personal information and preferences for every site or social network platform.
     
    Decentralization and privacy while leveraging collaboration tools such as social networks needs to be the future of the Internet.