TY - BOOK ID - 58414841 TI - Challenges in Social Network Research : Methods and Applications AU - Ragozini, Giancarlo. AU - Vitale, Maria Prosperina. PY - 2020 SN - 3030314634 3030314626 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Data mining. KW - Social sciences—Data processing. KW - Social sciences—Computer programs. KW - Artificial intelligence. KW - Database management. KW - Physics. KW - Data Mining and Knowledge Discovery. KW - Computational Social Sciences. KW - Artificial Intelligence. KW - Database Management. KW - Applications of Graph Theory and Complex Networks. KW - Natural philosophy KW - Philosophy, Natural KW - Physical sciences KW - Dynamics KW - Data base management KW - Data services (Database management) KW - Database management services KW - DBMS (Computer science) KW - Generalized data management systems KW - Services, Database management KW - Systems, Database management KW - Systems, Generalized database management KW - Electronic data processing KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Algorithmic knowledge discovery KW - Factual data analysis KW - KDD (Information retrieval) KW - Knowledge discovery in data KW - Knowledge discovery in databases KW - Mining, Data KW - Database searching KW - Social networks KW - Networking, Social KW - Networks, Social KW - Social networking KW - Social support systems KW - Support systems, Social KW - Interpersonal relations KW - Cliques (Sociology) KW - Microblogs KW - Research. UR - https://www.unicat.be/uniCat?func=search&query=sysid:58414841 AB - The book includes both invited and contributed chapters dealing with advanced methods and theoretical development for the analysis of social networks and applications in numerous disciplines. Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen the relationship among statistical methods for data mining and social network analysis. Along with the new methodological developments, the book offers interesting applications to a wide set of fields, ranging from the organizational and economic studies, collaboration and innovation, to the less usual field of poetry. In addition, the case studies are related to local context, showing how the substantive reasoning is fundamental in social network analysis. The list of authors includes both top scholars in the field of social networks and promising young researchers. All chapters passed a double blind review process followed by the guest editors. This edited volume will appeal to students, researchers and professionals. ER -