Social network analysis: An overview

• Type: Another Publication in an International Scientific Journal
• Date: 2018

Authors

Tabassum, S (Author) Other; Pereira, FSF (Author) Other; Fernandes, S (Author) Other; João Gama (Author) FEP

Journal

Title: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

Vol. 8

Final page: e1256

ISSN: 1942-4787

Publisher: Wiley-Blackwell

Indexing

ISI Web of Knowledge - 160 Citations

Scopus - 211 Citations

Other information

Authenticus ID: P-00P-GHW

DOI: 10.1002/widm.1256

Abstract (EN): Social network analysis (SNA) is a core pursuit of analyzing social networks today. In addition to the usual statistical techniques of data analysis, these networks are investigated using SNA measures. It helps in understanding the dependencies between social entities in the data, characterizing their behaviors and their effect on the network as a whole and over time. Therefore, this article attempts to provide a succinct overview of SNA in diverse topological networks (static, temporal, and evolving networks) and perspective (ego-networks). As one of the primary applicability of SNA is in networked data mining, we provide a brief overview of network mining models as well; by this, we present the readers with a concise guided tour from analysis to mining of networks. This article is categorized under: Application Areas > Science and Technology Technologies > Machine Learning Fundamental Concepts of Data and Knowledge > Human Centricity and User Interaction Commercial, Legal, and Ethical Issues > Social Considerations

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 21