Sociological Studies of Network -Community Studies (60’s) Friendship Network, Community Power Structure Development of SNA techniques (L. Freeman, Borgatti,

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Presentation transcript:

Sociological Studies of Network -Community Studies (60’s) Friendship Network, Community Power Structure Development of SNA techniques (L. Freeman, Borgatti, Lincoln, Burt...) -Network of Corporate Governance (ex: interlocking board of Directors) -Inter-organizational Relations -Social Movements -World System Theory (state network) Micro Macro Network Capitalism

A’s ParentsB’s Parents Student AStudent BStudent AStudent B A’s ParentsB’s Parents Open NetworkClosed Network Probability of becoming a delinquent boy is higher in ( ) network.

Internet revives interest of 60’s  Sociological Issues; Social Impact of Internet  Has the Internet increased, decreased contact?  More on line Friends?  Long distance friends?  Has the Internet support emotional ties?  Contact with Family and old friends  anonymity and invisibility  Privacy  Identity (Multiple selves)...  Yet, N increased from hundreds to millions.

Netville Experiment

 Does Internet produce Power-dispersion or Power concentration?  Decentralized communication network replace centralized communication, undermining the central power.  As more people are connected, centralized network structure produce a “winner take it all” society.  Two contradictory predictions each with compelling evidences. Macro Issues concerning Inequality

1. Network Army weakens centralized (state) power Candlelight vigil against beef import

Orchestration without a conductor; People can make voice!!

 Information Asymmetry produces Power  With knowledge & information you can gain power. Centralized Network Decentralized Network Information Asymmetry is reduced due to social technology

Minerva; information superhighway Doctor-Patent Relations Professor-Student Relations Mass media / new media

Anyone can create by mixing. Ex: creative commons

R&D vs. Open Innovation 기존의 혁신 모델 개방혁신 모델 Any Connected Individual can create the value, without means of production.

Small world Networks; Path vs. Walk Gene expression Network Food WebPower Grid Romance of the Three Kingdoms Korean Pops Keyword Network New Testament Network

Power Concentration: Winner Take all Society # of people affected by power failure caused by lightening Frequency Power Law

Preferential attachment  Mathew Effect “the rich get richer” Why? Network Externality! The value of a fax depends on the number of faxes inter-connected... Mobile phone, Facebook...  Increasing Return

Centralization of Web traffic Network August, 2000 May, 2000 Degree Mean Std Dev Network Centralization = 51.37% Degree Mean 0.74 Std Dev 1.59 Network Centralization = 3.80% Among top 100 sites If Links create values, inequality increases!

Network Externality Zipf Law

Some core group are more connected than the rest on line a small set of webloggers account for a majority of the traffic in the weblog world as more journal issues came online, more of citations were to fewer journals and articles  Network Society may produce extreme inequality!! Links, Friends, traffic, Citations... Are distributed with power law