A common and important problem arising in the study of networks is how to divide the vertices of a given network into one or more groups, called communities, in such a way that vertices of the same community are more interconnected than vertices belonging to different ones. We propose and investigate a testing based community detection procedure called Extraction of Statistically Significant Co...

Detecting hidden communities from observed interactions is a classical problem. Theoretical analysis of community detection has so far been mostly limited to models with non-overlapping communities such as the stochastic block model. In this paper, we provide guaranteed community detection for a family of probabilistic network models with overlapping communities, termed as the mixed membership ...

Shared Workspaces are getting more and more popular in helping people collaborate. However, it’s difficult for user to search information across different Shared Workspaces since they are currently islands that are not interlinked. Based on semantic web technologies, SIOC provide ontology and tools to interlink online communities. By using SIOC to develop an explorer for Shared Workspaces, we m...

This paper describes how we extended the SIOC ontology to take into account particular aspects of wikis in order to enable integration capabilities between various wiki systems. In particular, we will overview the proposed extensions and detail a webservice providing SIOC data from any MediaWiki instance, as well as related query examples that show how different wikis, designed as independant d...

Social communities emerge by successful communication (or other forms of successful reciproke interaction). We have investigated algorithms that forge topic-specific links of different strengths within a peer-to-peer network based on the success of previous communications with regard to the specific or semantically similar topics. We have shown that through such adaptation overlapping topic com...

As research into community finding in social networks progresses, there is a need for algorithms capable of detecting overlapping community structure. Many algorithms have been proposed in recent years that are capable of assigning each node to more than a single community. The performance of these algorithms tends to degrade when the ground-truth contains a more highly overlapping community st...

Argumentation, having its roots back to ancient years, is used in many aspects of everyday life, such as law, politics, education and decision making. Argument Visualisation Tools serve the need of visualizing natural language’s argumentations, targeting in the elimination of the traditional community sites’ disadvantages such as the lack of expressiveness. This paper presents ArgVis, an argume...