Social Network Analysis of Different Parameters Derived From Real-Time Facebook Profiles

Social Network Analysis of Different Parameters Derived From Real-Time Facebook Profiles

Paramita Dey (Government College of Engineering and Ceramic Technology, Spain) and Krishnendu Dutta (Government College of Engineering and Ceramic Technology, Spain)
DOI: 10.4018/978-1-5225-2814-2.ch006
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Abstract

With the advent of online social media, it is possible to collect large information and extract information. One of the powerful roles that networks play is to bridge gap between the local and the global perspectives. For example, social network analysis could be used to offer explanations for how simple processes at the level of individual nodes and links can have a global effect. Social networks like Twitter, Facebook, LinkedIn are very large in size with millions of vertices and billions of edges. To collect meaningful information from these densely connected graphs and huge volume of data, it is important to find proper topology of the network as well as conduct analysis based on different network parameters. The main objective of this work is to study the network parameters commonly used to explain social structures. We extract data from the three real-time Facebook accounts using the Netvizz application, analyze and evaluate their network parameters on some widely recognized graph topology using Gephi, a free and open source software.
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3. Social Network Parameters

Social network analysis (SNA) is the mapping and measuring of relationships and flows between people, groups, organizations and other connected knowledge entities. The nodes in such networks are the people or group while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. In a social network, a node represents a social entity, typically a person, an organization, or any other relevant unit. An edge stands for a specific relationship between its incident nodes. In contrast to other areas in social sciences in which it is important to understand what characterizes social entities (e.g., by considering their attributes), social network analysis concentrates on the structure of relationships and tries to explain social phenomena from those structures. For example, in social network, two nodes are connected if they regularly talk to each other, or interact by some means.

Some useful network parameters are discussed in this section.

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