An overview of social network analysis

• Type: Another Publication in an International Scientific Journal
• Date: 2012

Authors

Marcia Oliveira (Author) Other; João Gama (Author) FEP

Journal

Title: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

Vol. 2 No. 2

Pages: 99-115

ISSN: 1942-4787

Publisher: Wiley-Blackwell

Indexing

ISI Web of Knowledge - 91 Citations

ISI Web of Science

Scopus - 121 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences

Other information

Authenticus ID: P-002-C8C

DOI: 10.1002/widm.1048

Abstract (EN): Data mining is being increasingly applied to social networks. Two relevant reasons are the growing availability of large volumes of relational data, boosted by the proliferation of social media web sites, and the intuition that an individual's connections can yield richer information than his/her isolate attributes. This synergistic combination can show to be germane to a variety of applications such as churn prediction, fraud detection and marketing campaigns. This paper attempts to provide a general and succinct overview of the essentials of social network analysis for those interested in taking a first look at this area and oriented to use data mining in social networks. C (C) 2012 Wiley Periodicals, Inc.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 17