From Social Data Mining and Analysis to Prediction and Community Detection

• Corporate Author: SpringerLink (Online service)
• Other Authors: Kaya, Mehmet (Editor), Erdoǧan, Özcan (Editor), Rokne, Jon (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Lecture Notes in Social Networks,
• Subjects: Computer science.; Data mining.; Artificial intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).; Applications of Graph Theory and Complex Networks.
• Physical Description: X, 245 p. 78 illus., 53 illus. in color. online resource.
• ISBN: 9783319513676
• ISSN: 2190-5428

This book presents the state-of-the-art in various aspects of analysis and mining of online social networks. Within the broader context of online social networks, it focuses on important and upcoming topics of social network analysis and mining. The book collects chapters that are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2015), which was held in Paris, France in August 2015. All papers have been peer reviewed and checked carefully for overlap with the literature. The book will appeal to students and researchers in social network analysis/mining and machine learning.