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2004
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(2004): Models of social networks based on social distance attachment. In: Physical review. E, Statistical, nonlinear, and soft matter physics 70 (5 Pt 2). DOI: 10.1103/PhysRevE.70.056122
DOI: http://www.ncbi.nlm.nih.gov/pubmed/15600707 Abstract: We propose a class of models of social network formation based on a mathematical abstraction of the concept of social distance. Social distance attachment is represented by the tendency of peers to establish acquaintances via a decreasing function of the relative distance in a representative social space. We derive analytical results (corroborated by extensive numerical simulations), showing that the model reproduces the main statistical characteristics of real social networks: large clustering coefficient, positive degree correlations, and the emergence of a hierarchy of communities. The model is confronted with the social network formed by people that shares confidential information using the Pretty Good Privacy (PGP) encryption algorithm, the so-called web of trust of PGP.
Keywords: Algorithms, Computer Simulation, degree of acquaintance, Disziplin, Favoriten, Gruppenverhalten / Joint Action, Hierarchy, Social, Interpersonal Relations, Modelle/Theorien, Models, Biological, Netzwerktheorien, Population Dynamics, Residence Characteristics, Social Behavior, Social Change, Social Distance, social networks based on social distance, Social Support, Soziale Angemessenheit, Soziale Distanz, Soziologie, SV
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