Artificial and Natural Topic Detection in Online Social Networks

Interpersonal Trust in Online Scientific Social Networks: Causes and Results

Background and Aim: This study tends to investigate the reasons of interpersonal trust and the results of trust in online scientific social networks. Methods: The applied Research has been used cluster sampling to collect data. The study population consisted of Shiraz university and Persian Gulf university faculties. A sampling of 269 person was determined by Morgan table according to whole pop...

Topic Detection and Tracking within Social Networks

Anomaly detection in online social networks

Anomalies in online social networks can signify irregular, and often illegal behaviour. Detection of such anomalies has been used to identify malicious individuals, including spammers, sexual predators, and online fraudsters. In this paper we survey existing computational techniques for detecting anomalies in online social networks. We characterise anomalies as being either static or dynamic, a...

Relationship between the Online Social Networks Addiction and Psychological Disorders

Background: The Online social networks addiction like others type of addiction can lead to ethical dilemmas, as well as it can be affected from psychological disorders. So, the aim of this research is to analyze the effect of depression, anxiety and usage time of online social networks on the level of online social networks addiction and on the life satisfaction. Method: The method of research ...

Community Detection Based on Topic Distance in Social Tagging Networks

Research on the community detection in social tagging networks has attracted much attention in the last decade. Extracting the hidden topic information from tags provides a new way of thinking for community detection in social tagging networks. In this paper, a topic tagging network by extracting several topics from the tags through using the Latent Dirichlet Allocation (LDA) model is built fir...