einfuhrung in netdraw erste schritte mit dem netzwerkvisualisierungsprogramm netzwerkforschung german edition

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Studying Social Networks

Author : Marina Hennig
ISBN : 9783593397634
Genre : Computers
File Size : 67. 20 MB
Format : PDF
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Studying Social Networks provides a concise, comprehensive introduction to the process of empirical network research. Students and practitioners new to social research will find easily understandable learning goals, numerous examples, and helpful exercises all in one compact volume. The authors have integrated different disciplinary perspectives, while stressing the importance of substance-specific orientation while studying networks. Scholars will find Studying Social Networks a helpful tool not only for teaching, but also as a guide for their own empirical research.

Encyclopedia Of Social Network Analysis And Mining

Author : Reda Alhajj
ISBN : 1493971301
Genre : Computers
File Size : 75. 20 MB
Format : PDF, ePub, Mobi
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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.

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