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The Encyclopedia of Social Network Analysis and Mining (ESNAM) is the first major reference work to integrate fundamental concepts and research directions in the areas of social networks and  applications to data mining. While ESNAM  reflects the state-of-the-art in  social network research, the field  had its start in the 1930s when fundamental issues in social network research were broadly defined. These communities were limited to relatively small numbers of nodes (actors) and links. More recently the advent of electronic communication, and in particular on-line communities, have created social networks of hitherto unimaginable sizes. People around the world are directly or indirectly connected by popular social networks established using web-based platforms rather than by physical proximity. Reflecting the interdisciplinary nature of this unique field, the essential contributions of diverse disciplines, from computer science, mathematics, and statistics to sociology and behavioral science, are described among the 300 authoritative yet highly readable entries. Students will find a world of information and insight behind the familiar façade of the social networks in which they participate. Researchers and practitioners will benefit from a comprehensive perspective on the methodologies for analysis of constructed networks, and the data mining and machine learning techniques that have proved attractive for sophisticated knowledge discovery in complex applications. Also addressed is the application of social network methodologies to other domains, such as web networks and biological networks.

Computer science. --- Computer communication systems. --- Computers and civilization. --- Bioinformatics. --- System safety. --- Sociophysics. --- Econophysics. --- Sociology. --- Computer Science. --- Computer Communication Networks. --- Sociology, general. --- Socio- and Econophysics, Population and Evolutionary Models. --- Computers and Society. --- Security Science and Technology. --- Social theory --- Social sciences --- Economics --- Statistical physics --- Mathematical sociology --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Systems engineering --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Civilization and computers --- Civilization --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Informatics --- Science --- Statistical methods --- Prevention --- Data processing --- Distributed processing --- Data-driven Science, Modeling and Theory Building. --- Network analysis. --- Network analysis (Social sciences) --- SNA (Social network analysis) --- Social network analysis --- System analysis --- Methodology --- Social networks.

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Social Network Analysis and Mining Encyclopedia (ESNAM) is the first major reference work to integrate fundamental concepts and research directions in the areas of social networks and applications to data mining. The second edition of ESNAM is a truly outstanding reference appealing to researchers, practitioners, instructors and students (both undergraduate and graduate), as well as the general public.  This updated reference integrates all basics concepts and research efforts under one umbrella. Coverage has been expanded to include new emerging topics such as crowdsourcing, opinion mining, and sentiment analysis. Revised content of existing material keeps the encyclopedia current. The second edition is intended for college students as well as public and academic libraries. It is anticipated to continue to stimulate more awareness of social network applications and research efforts. The advent of electronic communication, and in particul ar on-line communities, have created social networks of hitherto unimaginable sizes. Reflecting the interdisciplinary nature of this unique field, the essential contributions of diverse disciplines, from computer science, mathematics, and statistics to sociology and behavioral science, are described among the 300 authoritative yet highly readable entries. Students will find a world of information and insight behind the familiar façade of the social networks in which they participate. Researchers and practitioners will benefit from a comprehensive perspective on the methodologies for analysis of constructed networks, and the data mining and machine learning techniques that have proved attractive for sophisticated knowledge discovery in complex applications. Also addressed is the application of social network methodologies to other domains, such as web networks and biological networks.

Computer science. --- Social media. --- Data mining. --- Computer simulation. --- Social sciences. --- Computer Science. --- Data Mining and Knowledge Discovery. --- Social Media. --- Methodology of the Social Sciences. --- Applications of Graph Theory and Complex Networks. --- Simulation and Modeling. --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- User-generated media --- Communication --- User-generated content --- Informatics --- Science --- Social sciences --- Methodology. --- Network analysis.. --- Network analysis (Social sciences) --- SNA (Social network analysis) --- Social network analysis --- System analysis --- Methodology --- Data mining --- Social networks --- Physics. --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Networking, Social --- Networks, Social --- Social networking --- Social support systems --- Support systems, Social --- Interpersonal relations --- Cliques (Sociology) --- Microblogs

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Social Network Analysis and Mining Encyclopedia (ESNAM) is the first major reference work to integrate fundamental concepts and research directions in the areas of social networks and applications to data mining. The second edition of ESNAM is a truly outstanding reference appealing to researchers, practitioners, instructors and students (both undergraduate and graduate), as well as the general public.  This updated reference integrates all basics concepts and research efforts under one umbrella. Coverage has been expanded to include new emerging topics such as crowdsourcing, opinion mining, and sentiment analysis. Revised content of existing material keeps the encyclopedia current. The second edition is intended for college students as well as public and academic libraries. It is anticipated to continue to stimulate more awareness of social network applications and research efforts. The advent of electronic communication, and in particul ar on-line communities, have created social networks of hitherto unimaginable sizes. Reflecting the interdisciplinary nature of this unique field, the essential contributions of diverse disciplines, from computer science, mathematics, and statistics to sociology and behavioral science, are described among the 300 authoritative yet highly readable entries. Students will find a world of information and insight behind the familiar façade of the social networks in which they participate. Researchers and practitioners will benefit from a comprehensive perspective on the methodologies for analysis of constructed networks, and the data mining and machine learning techniques that have proved attractive for sophisticated knowledge discovery in complex applications. Also addressed is the application of social network methodologies to other domains, such as web networks and biological networks.

Social sciences (general) --- Complex analysis --- Applied physical engineering --- Mass communications --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- toegepaste wiskunde --- datamining --- complexe analyse (wiskunde) --- sociale media --- machine learning --- vormgeving --- sociale wetenschappen --- mineralen (chemie) --- simulaties --- mijnbouw --- KI (kunstmatige intelligentie) --- methodologieën --- data acquisition

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The Encyclopedia of Social Network Analysis and Mining (ESNAM) is the first major reference work to integrate fundamental concepts and research directions in the areas of social networks and  application to data mining. This set of comprehensive and authoritative volumes •         explains the science and technology behind the rapidly growing global avenues for exchanging views and influencing others •         presents the first comprehensive coverage of all fields that contribute  to social network construction and analysis as a multidisciplinary domain •         is designed to appeal to an interdisciplinary audience ranging from the  undergraduate to professional level •         describes social network applications to knowledge mining and discovery •         addresses privacy, security, ethical, and civil liberty issues for social networks. While ESNAM  reflects the state-of-the-art in  social network research, the field  had its start in the 1930s when fundamental issues in social network research were broadly defined. These communities were limited to relatively small numbers of nodes (actors) and links. More recently the advent of electronic communication, and in particular on-line communities, have created social networks of hitherto unimaginable sizes. People around the world are directly or indirectly connected by popular social networks established using web-based platforms rather than by physical proximity. Reflecting the interdisciplinary nature of this unique field, the essential contributions of diverse disciplines, from computer science, mathematics, and statistics to sociology and behavioral science, are described among the 300 authoritative yet highly readable entries. Students will find a world of information and insight behind the familiar façade of the social networks in which they participate. Researchers and practitioners will benefit from a comprehensive perspective on the methodologies for analysis of constructed networks, and the data mining and machine learning techniques that have proved attractive for sophisticated knowledge discovery in complex applications. Also addressed is the application of social network methodologies to other domains, such as web networks and biological networks.

Computer communication systems. --- Sociology. --- Sociophysics. --- Econophysics. --- Bioinformatics. --- Computers and civilization. --- System safety. --- Computer Communication Networks. --- Sociology, general. --- Data-driven Science, Modeling and Theory Building. --- Computers and Society. --- Security Science and Technology.

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This book presents the state-of-the-art in various aspects of analysis and mining of online social networks. Within the broader context of online social networks, it focuses on important and upcoming topics of social network analysis and mining. The book collects chapters that are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2015), which was held in Paris, France in August 2015. All papers have been peer reviewed and checked carefully for overlap with the literature. The book will appeal to students and researchers in social network analysis/mining and machine learning.

Computer science. --- Data mining. --- Artificial intelligence. --- Computer Science. --- Data Mining and Knowledge Discovery. --- Artificial Intelligence (incl. Robotics). --- Applications of Graph Theory and Complex Networks. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Artificial Intelligence. --- Physics. --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics