IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Social Networks and Analytics

Social Networks and Analytics
View Sample PDF
Author(s): Yuehua Zhao (Nanjing University, China)and Jin Zhang (University of Wisconsin-Milwaukee, USA)
Copyright: 2023
Pages: 11
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch152

Purchase

View Social Networks and Analytics on the publisher's website for pricing and purchasing information.

Abstract

Social network analysis is becoming a prominent data analytics method. In the big data era, high volumes of a wide variety of valuable data can be easily generated or collected at a high velocity. By using advanced social network analysis, researchers from a range of disciplines can analyze large-scale datasets to learn about relationships underlying social networks and community structures by analyzing the linkage patterns among individuals. In this article, the authors address the basic concepts of social network and analytics as well as the applications of social network analysis methods in big data analysis.

Related Content

G. Boopathy, Balaji Ganesan, P. Sivaprakasam, T. Kumaran. © 2026. 42 pages.
G. Prasad. © 2026. 14 pages.
Kishorebabu Dasari, Sujana Parry, Srinivas Mekala. © 2026. 30 pages.
Chikesh Ranjan, Jonnalagadda Srinivas, P. S. Balaji, Kaushik Kumar. © 2026. 24 pages.
G. Ananthi, S. Mehala Shevani, P. Priyadharshini Devi. © 2026. 24 pages.
G. Prasad, Snehal Malik, Aadya Gupta, Yash Nigam. © 2026. 26 pages.
Dhirendra Patel, M. L. Azad. © 2026. 36 pages.
Body Bottom