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Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences, Series Number 27) - Softcover
Synopsis
This is the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis (Pajek). Pajek software and datasets for all examples are freely available, so the reader can learn network analysis by doing it. In addition, each chapter offers case studies for practicing network analysis. The book will enable the reader to gain the knowledge, skills, and tools to apply social network analysis in all social sciences, ranging from anthropology and sociology to business administration and history.
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About the Authors
Professor Wouter De Nooy specializes in social network analysis and applications of network analysis to the fields of literature, the visual arts, music and arts policy. His international publications have appeared in Poetics and Social Networks. He is lecturer in methodology and sociology of the arts, Department of History and Arts Studies, Erasmus University, Rotterdam.
Professor Andrej Mrvar is assistant Professor of Social Science Informatics at the University of Ljubljana, Slovenia. He has won several awards for Graph Drawings for competitions between 1995 - 2000. He has edited Metodoloski zvezki since 2000.
Professor Vladimir Batagelj is professor of Discrete and Computational Mathematics at the University of Ljubljana, Slovenia. Member of editorial boards of Informatica and Journal of Social Structure. He has authored several papers in Communications of ACM, Psychometrika, Journal of Classification, Social Networks, Discrete Mathematics, Algorithmica, Journal of Mathematical Sociology, Quality and Quantity, Informatica, Lecture Notes in Computer Science, Studies in Classification, Data Analysis, and Knowledge Organization.
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Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences)
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Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences, Series Number 27)
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Exploratory Social Network Analysis with Pajek
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Exploratory Social Network Analysis with Pajek
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