Challenges in social network research : methods and applications /: methods and applications. (2020)

• Record Type: Book
• Further Information: Note: Giancarlo Ragozini, Maria Prosperina Vitale, editors.
• Other Names: Ragozini, Giancarlo; Vitale, Maria Prosperina
• Contents: Intro; Preface; Contents; Contributors; Corrected Overlap Weight and Clustering Coefficient; 1 Introduction; 1.1 Network Element Importance Measures; 2 Overlap Weight; 2.1 Overlap Weight; 2.2 US Airports Links with the Largest Overlap Weight; 2.3 Corrected Overlap Weight; 2.4 US Airports 1997 Links with the Largest Corrected Overlap Weight; 2.5 Comparisons; 3 Clustering Coefficient; 3.1 Clustering Coefficient; 3.2 US Airports with the Largest Clustering Coefficient; 3.3 Corrected Clustering Coefficient; 3.4 US Airports Nodes with the Largest Corrected Clustering Coefficient; 3.5 Comparisons 4 ConclusionsReferences; Bottom-Up Collegiality, Top-Down Collegiality, or Inside-Out Collegiality? Analyses of Multilevel Networks, Institutional Entrepreneurship and Laboratories for Social Change; 1 Introduction; 2 Politics, Analysis of Multilevel Networks, and Multilevel Relational Infrastructures; 3 Bottom-Up Collegiality, Top-Down Collegiality, and Inside-Out Collegiality; 4 An Example of Top-Down Collegiality in Institutional Entrepreneurship; 5 The Challenge of Contextualizing Multilevel Networks: Organized Mobility and Relational Turnover 6 Multispin for Contextualizing Multilevel Networks7 Conclusion; References; Part I Methods; Socio-Cultural Cognitive Mapping to Identify Communities and Latent Networks; 1 Introduction; 2 Related Work; 3 Method; 4 Empirical Results; 4.1 Hatfield-McCoy Case Study; 4.2 Ukrainian Parliament Case Study; 5 Discussion; 6 Conclusion and Future Work; References; Bootstrapping the Gini Index of the Network Degree: An Application for Italian Corporate Governance; 1 Introduction; 2 The Approach; 3 Simulations; 4 Application; 5 Conclusions; References Association Rules and Network Analysis for Exploring Comorbidity Patterns in Health Systems1 Introduction; 2 Theoretical Background; 3 The Data; 4 The Analytic Strategy; 4.1 Association Rules Mining the Prescriptions Dataset; 4.2 Network Analysis Tools; 5 The Results; 5.1 First Network Results; 6 Discussion and Concluding Remarks; References; A Mixture Model Approach for Clustering Bipartite Networks; 1 Introduction; 2 Model-Based Clustering for Bipartite Networks; 3 Noordin Top Terrorist Network; 3.1 Statistical Analysis; 3.2 Interpreting the Actor's Behaviour 3.3 Interpreting the Events Attendance4 Conclusions; References; A DEA-Based Network Formation Model. Micro and Macro Analysis; 1 Introduction; 2 Related Works; 3 A DEA-Based Network Formation Model; 4 Micro and Macro Analysis; 4.1 Macro Analysis; 4.2 Micro Analysis; 5 Estimation and Simulation; 5.1 Simulation; 6 Discussion and Conclusions; A.1 Appendix 1 DEA Analysis of Peers; B.1 Appendix 2 Adjacency Matrix for DEA-Based Network Representation; References; Networks and Context: Algorithmic Challenges for Context-Aware Social Network Research; 1 Context-Aware Social Network Research
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Extent: 1 online resource (245 pages)
• Subjects: 302.3072; Social networks -- Research; Social networks -- Research; Electronic books
• Languages: English
• ISBNs: 9783030314637; 3030314634
• Related ISBNs: 9783030314620
• Notes: Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.