Events and stories can be characterized by a set of descriptive, collocated keywords. Intuitively, documents describing the same event will contain similar sets of keywords, and the graph of keywords for a document collection will contain clusters individual events. In this paper we build a network of keywords based on their co-occurrence in documents. We propose and develop a new event detecti...

In online social networks, users create a profile by setting some attributes that help in characterizing the user. We call these profile attributes the keywords of the user. In this work, we focus on social networks based on keywords and study how keywords can be effectively used to model and search in such networks. We make two main contributions in this thesis. First, we study the relationshi...

The evolutionary effect of social network analysis has feasibly enabled the security agencies to include the approach for estimating terrorist networks. The approach in this sense named as Terrorist Network Mining, has helped in successfully achieving the terrorist network behaviour on web along with destabilization of network using hierarchy of algorithms. However these algorithm results in fr...

OBJECTIVES This study aimed to examine the feasibility of social network analysis as a valuable research tool for indicating a change in research topics in health care and medicine. METHODS Papers used in the analysis were collected from the PubMed database at the National Library of Medicine. After limiting the search to papers affiliated with the National Institutes of Health, 27,125 papers...

Social learning network analysis has drawn attention for most researcher on e-learning research domain. This is due to the fact that it has the capability to identify the behavior of student during their social interaction inside e-learning. Normally, the social network analysis (SNA) is treating the students' interaction merely as node and edge with less meaning. This paper focuses on providin...

This study proposes novel hybrid social network analysis and collaborative filtering approach to enhance the performance of recommender systems. The proposed model selects subgroups of users in Internet community through social network analysis (SNA), and then performs clustering analysis using the information about subgroups. Finally, it makes recommendations using cluster-indexing CF based on...

In a multi-cultural learning context, where ties are weak and dynamic, combining qualitative with quantitative research methods may be more effective. Such a combination may also allow us to answer different types of question, such as about people’s perception of the network. In this study the use of observation, interviews and photos were explored as ways of enhancing data from social network ...

This article analyses the Croatian Scientific Bibliography (CROSBI) as a social application using a number of different approaches. By analysing and visualizing the conceptual network the core of keywords is determined for each scientific field: biomedical sciences, biotechnology, social sciences, humanities, natural sciences and technical sciences. Through the interpretation of core concepts b...