Community structure is an interesting feature found in many social networks which signifies that there is intense interaction between some individuals. These communities have a tendency to overlap with each other as there are nodes that can belong to multiple communities simultaneously. Detection of such overlapping communities is a challenging task; it still remains a topic of interest for the...

Some of the most popular sites in the Web today are social tagging systems or folksonomies (e.g. Delicious, Flickr, LastFm etc.) where users share resources and collaboratively annotate resources with tags which help in the search, personalized recommendation and organization of the resources. Folksonomies are modelled as tripartite (user-resource-tag) hypergraphs in order to study their networ...

Organization-bounded online communities compete as well as collaborate regarding valued member resources. Membership overlap creates competition amongst communities because their overlapping members must choose where to allocate their limited time. But members also collaborate across communities in inter-community discussion threads to tackle common problems together. This paper examines how me...

BACKGROUND In the era of semantic web, life science ontologies play an important role in tasks such as annotating biological objects, linking relevant data pieces, and verifying data consistency. Understanding ontology structures and overlapping ontologies is essential for tasks such as ontology reuse and development. We present an exploratory study where we examine structure and look for patte...

Most complex networks demonstrate a significant property ‘community structure’, meaning that the network nodes are often joined together in tightly knit groups or communities, while there are only looser connections between them. Detecting these groups is of great importance and has immediate applications, especially in the popular online social networks like Facebook and Twitter. Many of these...

Overlapping community detection is a popular topic in complex networks. As compared to disjoint community structure, overlapping community structure is more suitable to describe networks at a macroscopic level. Overlaps shared by communities play an important role in combining different communities. In this paper, two methods are proposed to detect overlapping community structure. One is called...