Giancarlo Ragozini – författare

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.

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.

This book presents a state-of-the-art picture of advances in social network research for economic, business, and financial historians. It showcases recent development in the methodology and application of social network analysis to historical research and draws out the unique benefits for economic history and related fields. Social network analysis is increasingly understood to be an important part of historical research, allowing scholars to balance qualitative investigation with rigorous quantitative techniques. Through a global set of case studies spanning ancient, medieval, early modern and modern history, this edited volume demonstrates the interpretative potential of various SNA approaches to different sets of historical data. The chapters contribute to methodological understanding of SNA in economic history, as well as showing through the case studies how network analysis can decode complex social and economic interactions over time, making visible those relational patterns that were invisible to contemporary historical actors. This cutting-edge resource will be appeal widely to academics in economic, business and financial history, as well as statistics researchers and social scientists looking to strengthen their quantitative research skills.

This book presents a state-of-the-art picture of advances in social network research for economic, business, and financial historians. It showcases recent development in the methodology and application of social network analysis to historical research and draws out the unique benefits for economic history and related fields. Social network analysis is increasingly understood to be an important part of historical research, allowing scholars to balance qualitative investigation with rigorous quantitative techniques. Through a global set of case studies spanning ancient, medieval, early modern and modern history, this edited volume demonstrates the interpretative potential of various SNA approaches to different sets of historical data. The chapters contribute to methodological understanding of SNA in economic history, as well as showing through the case studies how network analysis can decode complex social and economic interactions over time, making visible those relational patterns that were invisible to contemporary historical actors. This cutting-edge resource will be appeal widely to academics in economic, business and financial history, as well as statistics researchers and social scientists looking to strengthen their quantitative research skills.

This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challenging proposals provide a connection between statistical methodology and the social domain with particular attention to computational issues in order to effectively address complicated data analysis problems.The papers in this volume stem from contributions initially presented at the joint international meeting JCS-CLADAG held in Anacapri (Italy) where the Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Society had a stimulating scientific discussion and exchange.