The present study describes an Integrated Methodology developed combining Social Network and Content Analysis approaches, to investigate the organizational mechanisms responsible for the creation of Social Capital within Communities. The methodological integration is proposed to overcome one of the main limitations of Social Network Analysis (SNA): the analysis of the content of the information...

Book of 1st International Conference on Emerging Trends in Engineering, Management & Sciences, City University of Science & Information Technology (CUSIT), Islamabad, Pakistan, p. 31. This file was downloaded from: http://eprints.qut.edu.au/80109/ c © Copyright 2014 [please consult the author] Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may...

Abstract This research aimed to explore (1) the characteristics and patterns of student interactions on online discussion boards throughout a course using social network analysis (SNA) (2) mediating effect presence, as underlying mechanism, relationship between these students' learning outcomes. Eighty-four college students from four classes single responded an survey asking about their percept...

INTRODUCTION The current study applied egocentric social network analysis (SNA) to investigate the prevalence of addictive behavior and co-occurring substance use in college students' networks. Specifically, we examined individuals' perceptions of the frequency of network members' co-occurring addictive behavior and investigated whether co-occurring addictive behavior is spread evenly throughou...

With the rapid development of mobile internet technology, Social Media has become an important way for us to communicate with others. Meanwhile, Social Media is regarded as the most popular information exchange and knowledge-sharing platformS by more and more people, making its network structure and information transmission topology attracted a wide attention. WeChat is one of the most commonly...

Finding a subset of users to statistically represent the original social network is a fundamental issue in Social Network Analysis (SNA). The problem has not been extensively studied in existing literature. In this paper, we present a formal definition of the problem of sampling representative users from social network. We propose two sampling models and theoretically prove their NP-hardness. T...

This paper addresses some aspects of the social network analysis (SNA) performed on the social-academic network that was implemented for the EURO Working Group on Decision Support Systems (EWG-DSS). The EWG-DSS network is populated with over 105 members of the group and was defined with the objective of analysing and representing the various relationships that academically link the group member...

Latent Semantic Analysis (LSA) is a relatively new research tool with a wide range of applications in different fields ranging from discourse analysis to cognitive science, from information retrieval to machine learning and so on. In this paper, we chart the development and diffusion of LSA as a research tool using Social Network Analysis (SNA) approach that reveals the social structure of a di...

The Social networking service (SNS) has been growing as the means of Communication. Therefore, this research focuses on the social network analyses of Facebook Users to find Influence people (Opinion Leaders) and demonstrate their Influences. In order to measure the influence of Opinion Leaders, advanced SNA(Social network analyses) methods and traditional survey were conducted at the same time...

Online Social Networks (OSN) during last years acquired a huge and increasing popularity as one of the most important emerging Web phenomena, deeply modifying the behavior of users and contributing to build a solid substrate of connections and relationships among people using the Web. In this preliminary work paper, our purpose is to analyze Facebook, considering a significant sample of data re...