TY - BOOK ID - 7839963 TI - Social network data analytics PY - 2011 SN - 1489988939 1441984615 9786613082251 1441984623 128308225X PB - New York : Springer, DB - UniCat KW - Computer network architectures. KW - Computer science. KW - Database management. KW - Information Systems. KW - Social sciences_xData processing. KW - Engineering & Applied Sciences KW - Sociology & Social History KW - Social Sciences KW - Computer Science KW - Social Change KW - Online social networks. KW - Online social networks KW - Research. KW - Electronic social networks KW - Social networking Web sites KW - Computer organization. KW - Application software. KW - Management information systems. KW - Computer Science. KW - Information Systems Applications (incl. Internet). KW - Database Management. KW - Management of Computing and Information Systems. KW - Computer Systems Organization and Communication Networks. KW - Computer Appl. in Social and Behavioral Sciences. KW - Social media KW - Social networks KW - Sociotechnical systems KW - Web sites KW - Social sciences KW - Data processing. KW - Architectures, Computer network KW - Network architectures, Computer KW - Computer architecture 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 - Organization, Computer KW - Electronic digital computers KW - Informatics KW - Science KW - Computer-based information systems KW - EIS (Information systems) KW - Executive information systems KW - MIS (Information systems) KW - Information resources management KW - Management KW - Application computer programs KW - Application computer software KW - Applications software KW - Apps (Computer software) KW - Computer software KW - Communication systems UR - https://www.unicat.be/uniCat?func=search&query=sysid:7839963 AB - Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science. ER -