State of the Art Applications of Social Network Analysis

Social network analysis increasingly bridges the discovery of patterns in diverse areas of study as more data becomes available and complex. Yet the construction of huge networks from large data often requires entirely different approaches for analysis including; graph theory, statistics, machine learning and data mining. This work covers frontier studies on social network analysis and mining from different perspectives such as social network sites, financial data, e-mails, forums, academic research funds, XML technology, blog content, community detection and clique finding, prediction of user's- behavior, privacy in social network analysis, mobility from spatio-temporal point of view, agent technology and political parties in parliament. These topics will be of interest to researchers and practitioners from different disciplines including, but not limited to, social sciences and engineering.

Produktdetails

• Mitarbeit: Fazli Can (Herausgeber), Faruk Polat (Herausgeber), Tansel Özyer (Herausgeber), Tanse Özyer (Herausgeber)
• Verlag: Springer, Berlin
• Inhalt: Buch
• Produktform: Fester Einband
• Erscheinungsdatum: 01.01.2014
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik
• EAN: 9783319059112
• ISBN: 978-3-31-905911-2
• Anzahl Seiten: 372
• Illustration: XII, 372 p. 137 illus., 94 illus. in color.
• Abmessung (Verpackung): 16.3 x 24.3 x 2.3 cm
• Gewicht (Verpackung): 713 g
• Serie: Lecture Notes in Social Networks; Lecture Notes in Social Networks
• Themen: B, Künstliche Intelligenz, Data Mining, Artificial Intelligence, Kombinatorik und Graphentheorie, computer science, Physics, Data Mining and Knowledge Discovery, Mathematical physics, Complex analysis, complex variables, Computational Intelligence, Expert systems / knowledge-based systems, Graph Theory, Applications of Graph Theory and Complex Networks