Social Network Based Big Data Analysis and Applications

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Kaya, Mehmet (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kawash, Jalal (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Khoury, Suheil (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Day, Min-Yuh (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Lecture Notes in Social Networks,
• Θέματα: Social sciences-Data processing.; Social sciences-Computer programs.; Big data.; Data mining.; Physics.; Computational Social Sciences.; Big Data.; Data Mining and Knowledge Discovery.; Applications of Graph Theory and Complex Networks.
• Φυσική περιγραφή: X, 249 p. 89 illus., 77 illus. in color. online resource.
• ISBN: 9783319781969
• ISSN: 2190-5428
• DOI: 10.1007/978-3-319-78196-9

This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services. Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'2016), which was held in August 2016. The papers were among the best featured at the meeting and were then improved and extended substantially. Social Network Based Big Data Analysis and Applications will appeal to students and researchers in the field.