Exploring social networking data sets

Title

Exploring social networking data sets

Creator

Arulkumar N.; Paulose J.; Gaiety M.G.; Manimaran A.; Saravanan S.; Saleem Raja A.

Description

A network is a collection of objects/devices that are linked to one another through wired and wireless communication. Networks are everywhere, and they are formed to share resources among users. Nodes and edges form a network structure. Nodes describe the objects, whereas edges represent the connections between them. Network analysis is advantageous in a wide variety of live application activities. It enables us to get a thorough knowledge of the structure of a connection in social networks, the structure or process of development in environmental events, and even the study of organisms' biological systems. Additionally, network analysis allows the estimation of complex network patterns, and the network structure may be examined to disclose the network's basic features. If anyone examines a social connection among Facebook users, for example, the nodes indicate the target people and the edges reflect the connections between users, such as friendships or group memberships. The objective of this chapter is to describe and visualize social network analysis (SNA) using Python and NetworkX, a Python framework for analyzing the structure, dynamics, and functions of complex networks. 2022 Scrivener Publishing LLC. All rights reserved.

Source

Social Network Analysis: Theory and Applications, pp. 205-228.

Date

2022-01-01

Publisher

wiley

Subject

Network data sets; Network patterns; NetworkX; Social network analysis (SNA)

Coverage

Arulkumar N., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Paulose J., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Gaiety M.G., Department of Information Technology, Catholic University, Erbil, Kurdistan Region, Iraq; Manimaran A., Department of Computer Applications, Madanapalle Institute of Technology and Science, Madanapalle, India; Saravanan S., Department of Electronics and Communication Engg., SRC, SASTRA University, Kumbakonam, India; Saleem Raja A., Department of IT, University of Technology and Applied Science-Shinas, Shinas, Oman

Rights

Restricted Access

Relation

ISBN: 978-111983675-9; 978-111983623-0

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1002/9781119836759.ch11

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147722096&doi=10.1002%2f9781119836759.ch11&partnerID=40&md5=1605967c8250dd29e8ced0a992795f68