Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Agarwal, Nitin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Dokoohaki, Nima (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Tokdemir, Serpil (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Lecture Notes in Social Networks,
• Θέματα: Social sciences-Data processing.; Social sciences-Computer programs.; Data mining.; Sociophysics.; Econophysics.; Application software.; Computational Social Sciences.; Data Mining and Knowledge Discovery.; Data-driven Science, Modeling and Theory Building.; Computer Appl. in Social and Behavioral Sciences.
• Φυσική περιγραφή: X, 278 p. 46 illus., 28 illus. in color. online resource.
• ISBN: 9783319941059
• ISSN: 2190-5428
• DOI: 10.1007/978-3-319-94105-9

The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.