With the development of so-called Web 2.0 and the great interest and extension that social networks have now reached, a large number of applications that originate new forms of communication and interaction among users have been quickly introduced. Furthermore, research in the field of dialogue systems currently have a number of challenges related to the introduction of new input and output mod...

We present Redgraph, the first generic virtual reality visualization program for Semantic Web data. Redgraph is capable of handling large data-sets, as we demonstrate on social network data from the U.S. Patent Trade Office. We develop a Semantic Web vocabulary of virtual reality terms compatible with GraphXML to map graph visualization into the Semantic Web itself. Our approach to visualizing ...

In this case study, results demonstrate that an individual’s use of social media as professional learning spans understanding, networking, professional identity development, and transformative learning. Specifically, virtual online communities facilitated through social media provide professional networks, social relationships and learning beyond the scope of the individual’s usual experience. ...

Trust is a promising research topic for social networks, since it is a basic component of our real-world social life. Yet, the transfer of the multi-facetted concept of trust to virtual social networks is an open challenge. In this paper we provide a survey and classification of established and upcoming trust systems, focusing on trust models. We introduce a set of criteria as basis of our anal...

Guest editoral Preface i This special issue of the IJVCSN is devoted to computational technologies boosting the creation of Internet-based social networks and communities. In recent years we experienced the rapid development in the area of advanced groupware and social software frameworks. It became obvious that the impact the dynamic changes in virtual communities have on performance, service ...

Cyberspace and its impact as the main competitor of real space in various aspects is considered and have been studied by many thinkers and theorists. For various reasons (political, social, cultural, etc.) it is lead to the presence of people, especially young people in virtual space, as all borders crossed the behavior and influence actions of people. According to the increasing importance and...

community detection is a task of fundamental importance in social network analysis. community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. there exist a variety of methods for community detection based on diffe...