Detecting overlapping community in complex network based on node similarity
نویسندگان
چکیده
منابع مشابه
Detecting overlapping community in complex network based on node similarity
Overlapping communities in complex network is a common phenomenon in real world network. The overlapping community structure can more accurately obtain the actual structure information in the network. But at present the study of overlapping community division algorithm is relatively less, facing the problems of the low accurate rate. Based on this, this paper presents algorithms OCNS for detect...
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 کاملDetecting Overlapping Communities Based on Link-link Similarity and SNMF
In this paper, we present a method named OCDLS that is based on link-link similarity and SNMF (symmetric nonnegative matrix factorization) to detect overlapping communities. To begin with constructing the link-link similarity matrix, and then using SNMF to partition links, finally computing the overlapping factor, and assigning nodes to the corresponding communities according to the prespecifie...
متن کاملOverlapping Community Detection based on Network Decomposition
Community detection in complex network has become a vital step to understand the structure and dynamics of networks in various fields. However, traditional node clustering and relatively new proposed link clustering methods have inherent drawbacks to discover overlapping communities. Node clustering is inadequate to capture the pervasive overlaps, while link clustering is often criticized due t...
متن کاملDetecting the overlapping and hierarchical community structure in complex networks
Many networks in nature, society and technology are characterized by a mesoscopic level of organization, with groups of nodes forming tightly connected units, called communities or modules, that are only weakly linked to each other. Uncovering this community structure is one of the most important problems in the field of complex networks. Networks often show a hierarchical organization, with co...
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: Computer Science and Information Systems
سال: 2015
ISSN: 1820-0214,2406-1018
DOI: 10.2298/csis141021029c