منابع مشابه
Overlapping Community Detection in Social Networks Based on Stochastic Simulation
Community detection is a task of fundamental importance in social network analysis. Community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. There exist a variety of methods for community detection based on diffe...
متن کاملData Analysis Methods in Social Networks
Background and Aim. The promising outlook of easy communication incurring minimum cost has caused social networks to face increasing number of active members each day. These members develop and expand international communication through information sharing including personal information. Thus, big data analysis of social networks provides companies, organizations and governments with ample and ...
متن کاملCommunity analysis in dynamic social networks
Due to the growing popularity of social networking platforms, the analysis of online communities became in recent years a popular topic in different research fields. However, an aspect that has received only little attention is how the temporal aspects of social networks can be studied. This thesis bridges the gap and deals with the analysis of community structures in large social networks and ...
متن کاملoverlapping community detection in social networks based on stochastic simulation
community detection is a task of fundamental importance in social network analysis. community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. there exist a variety of methods for community detection based on diffe...
متن کاملCommunity dynamics in social networks
We study the statistical properties of community dynamics in large social networks, where the evolving communities are obtained from subsequent snapshots of the modular structure. Such cohesive groups of people can grow by recruiting new members, or contract by loosing members; two (or more) groups may merge into a single community, while a large enough social group can split into several small...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The European Physical Journal B - Condensed Matter
سال: 2004
ISSN: 1434-6028,1434-6036
DOI: 10.1140/epjb/e2004-00130-1