Structure Emergence in the Evolution of Social Networks and its Case Study | Zendy

Zhenwu Tao | Zendy; Renbin Xiao | Zendy; Lei Wang | Zendy

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Structure Emergence in the Evolution of Social Networks and its Case Study

Author(s) -

Zhenwu Tao,

Renbin Xiao,

Lei Wang

Publication year - 2013

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2013.05.125

Subject(s) - computer science , community structure , identification (biology) , social network (sociolinguistics) , stability (learning theory) , inheritance (genetic algorithm) , restructuring , dynamic network analysis , social network analysis , complex network , network structure , state (computer science) , artificial intelligence , data mining , theoretical computer science , machine learning , algorithm , computer network , world wide web , mathematics , statistics , law , biochemistry , botany , chemistry , biology , gene , political science , social media

The social network is a typical dynamic network. The changes of network nodes, edges and the mapping function over time may cause the restructuring of the network structure, transitioning from one stable state to another stable state, i.e. the emergence of the network structure. This paper first gives the definition of t he social network to reach a steady state, and studies the community structure identification method of social network in stable states, inheritance relationship discriminant method for communities in two adjacent states and discriminant method for community stability. Finally, it gives a specific case analysis to describe the community structure evolution and emergence phenomena

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