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4 produkter
4 produkter
1 064 kr
Skickas inom 10-15 vardagar
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.
1 064 kr
Skickas inom 10-15 vardagar
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.
- Nyhet
Network Analysis for Economic, Business and Financial History
Methodological Advances and Applications
Inbunden, Engelska, 2026
2 712 kr
Kommande
This book presents a state-of-the-art picture of advances in social network research for economic, business, and financial historians. It showcases recent advances 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 researchers 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.
536 kr
Skickas inom 10-15 vardagar
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.