A simple phenomenological model for time evolution of social networks. (March 2015)

• Record Type: Journal Article
• Authors: Jiang, J; Wang, Q A; Li, W; Cai, X
• Is Part Of: Journal of physics. Number 604(2015)
• Publication Date: 2015-03
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/604/1/012010
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Inspired by the maxim "long union divides and long division unites", a phenomenological model with the simplification of real social networks is proposed to explore the evolutionary features of these networks composed of the entities whose behaviors are dominated by two events: union and division. The nodes are endowed with some attributes such as identity, ingredient, richness, age and internal diversity, which determine collectively the evolution in a probabilistic way. Through the local interaction of two events, a stationary state of network is reached as a constant amount of nodes survive with no more event happened in the network, like a situation of tripartite confrontation. Besides, the number of survived nodes and the speed of network evolution can be controlled by two parameters.