Network Intelligence Meets User Centered Social Media Networks

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Alhajj, Reda (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Hoppe, H. Ulrich (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Hecking, Tobias (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Bródka, Piotr (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kazienko, Przemyslaw (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.; Physics.; Data mining.; Internet marketing.; Graph theory.; Computational Social Sciences.; Applications of Graph Theory and Complex Networks.; Data Mining and Knowledge Discovery.; Online Marketing/Social Media.; Graph Theory.
• Φυσική περιγραφή: VI, 247 p. 63 illus., 54 illus. in color. online resource.
• ISBN: 9783319903125
• ISSN: 2190-5428
• DOI: 10.1007/978-3-319-90312-5

This edited volume presents advances in modeling and computational analysis techniques related to networks and online communities. It contains the best papers of notable scientists from the 4th European Network Intelligence Conference (ENIC 2017) that have been peer reviewed and expanded into the present format. The aim of this text is to share knowledge and experience as well as to present recent advances in the field. The book is a nice mix of basic research topics such as data-based centrality measures along with intriguing applied topics, for example, interaction decay patterns in online social communities. This book will appeal to students, professors, and researchers working in the fields of data science, computational social science, and social network analysis. .