The expansion of the web and emergence of a large number of social networking sites
(SNS) have empowered users to easily interconnect on a shared platform. A social network …

The identification of social media communities has recently been of major concern, since
users participating in such communities can contribute to viral marketing campaigns. In this …

Social media networks are playing increasingly prominent role in people's daily life.
Community structure is one of the salient features of social media network and has been …

A social network is a cluster or aggregation of vertices such as persons or social entities,
and edges which are used to depict personal relationship between these nodes. Social …

The Ground penetrating radar (GPR) and Infrared (IR) imaging have become two
established sensors for detecting buried anti-personnel mines (APM) which contain no or a …

Detecting communities is of great importance in various disciplines such as social media,
biology and telephone networks, where systems are often represented as graphs …

Based on the BSP (Bulk Synchronous Parallel) computing framework, this paper proposes a
parallel algorithm to find overlap** community structure in directed and weighted complex …

Nowadays plenty of data are in graph format. For example, knowledge graph use vertices to
represent entities and use edges to represent relations between entities; graph data in …

Community detection is an important way to analyze and understand the real networks. In
this paper, we not only define Local community modularity and Tightness between local …

Les systèmes de recommandation jouent un rôle important en suggérant des informations
pertinentes aux utilisateurs. Dans ce travail, nous introduisons l'information démographique …