One of the most interesting topics in the scope of social network analysis is dynamic
community detection, kee** track of communities' evolutions in a dynamic network. This …

Community detection aims to classify nodes with similar attributes, and it becomes more
difficult when the network structure changes over time. In order to tap into the evolution of …

Social network analysis is a fundamental problem inherent in various applications, which
can be handled mainly based on a graph model given in advance. However, it is generally …

Community structure is essential for topological analysis, function study, and pattern
detection in complex networks. As establishing community structure in a dynamic network is …

User relations and information propagation on social networks can reflect events in real
society. Online detection of bursty events is of great significance to studying the evolution of …

News media websites are important online resources that have drawn great attention of text
mining researchers. The main aim of this study is to propose a framework for ranking online …

By expanding online social networks during the last decade, online event tracking has
become one of the vital issues among researchers. In this study, Persian tweets which …

Microblog becomes one of the most popular media for sharing first-hand information. As
more close to real event, detecting and tracking event in microblogs is a research hotspot …

Social media claims against individuals are increasing, yet insurance coverage for
individuals for such claims is rarely available unless the insured has a personal injury …

Comprendre les dynamiques d'un conflit pour en anticiper les évolutions est d'un intérêt
majeur pour le renseignement militaire de sources ouvertes (ROSO) et le renseignement …