Modelling the diffusion of information is one of the key areas related to activity within social networks. In this field, there is recent research associated with the use of community detection algorithms and the analysis of how the structure of communities is affecting the spread of information. The purpose of this article is to examine the mechanisms of diffusion of viral content with particu...

This paper studies the effect of social-role identity salience in social networks on user participation in an online community that facilitates user rating, reviewing and discussing of cultural products. Drawing on previous literature on social preference, we develop a model demonstrating how the salience of friendship identity changes equilibrium participation behaviour. Predictions are tested...

The research community plays a very important role in helping researchers undertake new research topics. The authors propose a community mining system that helps to find communities of researchers by using bibliography data. The basic concept of this system is to provide interactive visualization of communities both local and global communities. We implemented this concept using actual bibliogr...

We analyzed the community structure of a network of news clips where relationships were established by the coreference of entities in pairs of clips. Community detection was applied to a unidimensional version of the news clips network, as well as to a multidimensional version where dimensions were defined based on three different classes of entities: places, people, and dates. The goal was to ...

The paper is devoted to game-theoretic methods for community detection in networks. The traditional methods for detecting community structure are based on selecting denser subgraphs inside the network. Here we propose to use the methods of cooperative game theory that highlight not only the link density but also the mechanisms of cluster formation. Specifically, we suggest two approaches from c...

• Analysis of 26 online communities (OLCs) for professional development of 1492 teachers • ‘Average’ teacher improves at least somewhat teaching skills & school subject knowledge • Room for improvement of communities; some communities function better than others • Communities with high embeddedness in offline social networks provide more benefits • Complete integration online & offline relation...

Social networks, such as virtual communities, permit connections between citizen and government. Integrating consultative and deliberative environments for popular participation in democratic issues and creating virtual communities for warranting better relationship among members make it possible to model decisionmaking processes. For this reason, the Democratic Citizenship Community (DCC) was ...

Collaborative networks manifest in a large variety of forms, including virtual organizations, virtual enterprises, dynamic supply chains, professional virtual communities, collaborative virtual laboratories, etc. A large body of empiric knowledge related to collaborative networks is already available, but there is an urgent need to consolidate this knowledge and build the foundations for a more...

Online platforms are an increasingly popular tool for people to produce, promote, or sell their work. However recent studies indicate that social disparities and biases present in the real world might transfer to online platforms and could be exacerbated by seemingly harmless design choices on the site (e.g., recommendation systems or publicly visible success measures). In this paper we analyze...

Large-scale socially-generated metadata is one of the key features driving the growth and success of the emerging Social Web. Recently there have been many research efforts to study the quality of this metadata that relies on quality assessments made by human experts external to a Social Web community. We are interested in studying how an online community itself perceives the relative quality o...