Emergence of Community Structure in the Adaptive Social Networks
نویسندگان
چکیده
In this paper, we propose a simple model of opinion dynamics to construct social networks, based on the algorithm of link rewiring of local attachment (RLA) and global attachment (RGA). Generality, the system does reach a steady state where all individuals’ opinion and the complex network structure are fixed. The RGA enhances the ability of consensus of opinion formation. Furthermore, by tuning a model parameter p, which governs the proportion of RLA and RGA, we find the formation of hierarchical structure in the social networks for p > pc. Here, pc is related to the complex network size N and the minimal coordination number 2K. The model also reproduces many features of large social networks, including the ”weak links” property. PACS: 87.23.Ge, 89.75.Fb
منابع مشابه
Frequency and Pattern of Social Network Use in Medical Students, Sari, Iran
Background and purpose: Nowadays, social networks are considered as the major communication tools in communities and throughout the world. This study aimed at investigating the pattern of social network use in medical students who will have important occupations in healthcare system. Materials and methods: This descriptive-analytical study was carried out in 715 medical students in Mazandaran ...
متن کاملA Case for Open Network Health Systems: Systems as Networks in Public Mental Health
Increases in incidents involving so-called confused persons have brought attention to the potential costs of recent changes to public mental health (PMH) services in the Netherlands. Decentralized under the (Community) Participation Act (2014), local governments must find resources to compensate for reduced central funding to such services or “innovate.” But innovation, even when pressure for c...
متن کاملDetecting Overlapping Communities in Social Networks using Deep Learning
In network analysis, a community is typically considered of as a group of nodes with a great density of edges among themselves and a low density of edges relative to other network parts. Detecting a community structure is important in any network analysis task, especially for revealing patterns between specified nodes. There is a variety of approaches presented in the literature for overlapping...
متن کاملCommunity Detection using a New Node Scoring and Synchronous Label Updating of Boundary Nodes in Social Networks
Community structure is vital to discover the important structures and potential property of complex networks. In recent years, the increasing quality of local community detection approaches has become a hot spot in the study of complex network due to the advantages of linear time complexity and applicable for large-scale networks. However, there are many shortcomings in these methods such as in...
متن کاملAn Optimized Firefly Algorithm based on Cellular Learning Automata for Community Detection in Social Networks
The structure of the community is one of the important features of social networks. A community is a sub graph which nodes have a lot of connections to nodes of inside the community and have very few connections to nodes of outside the community. The objective of community detection is to separate groups or communities that are linked more closely. In fact, community detection is the clustering...
متن کامل