The Sage Handbook of Social Network Analysis
Herausgegeben:McLevey, John; Scott, John; Carrington, Peter J.
The Sage Handbook of Social Network Analysis
Herausgegeben:McLevey, John; Scott, John; Carrington, Peter J.
- Gebundenes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
This new edition of The Sage Handbook of Social Network Analysis builds on the success of its predecessor, offering a comprehensive overview of social network analysis produced by leading international scholars in the field.
Brand new chapters provide both significant updates to topics covered in the first edition, as well as discussing cutting edge topics that have developed since, including new chapters on:
· General issues such as social categories and computational social science;
· Applications in contexts such as environmental policy, gender, ethnicity, cognition and social…mehr
Andere Kunden interessierten sich auch für
- The SAGE Handbook of Social Media Research Methods103,99 €
- The SAGE Handbook of International Social Work129,99 €
- The SAGE Handbook of Digital Society126,99 €
- The SAGE Handbook of Social Studies in Health and Medicine129,99 €
- The SAGE Handbook of Cultural Analysis129,99 €
- The Sage Handbook of Criminological Research Methods129,99 €
- The SAGE Handbook of Decision Making, Assessment and Risk in Social Work116,99 €
-
-
-
This new edition of The Sage Handbook of Social Network Analysis builds on the success of its predecessor, offering a comprehensive overview of social network analysis produced by leading international scholars in the field.
Brand new chapters provide both significant updates to topics covered in the first edition, as well as discussing cutting edge topics that have developed since, including new chapters on:
· General issues such as social categories and computational social science;
· Applications in contexts such as environmental policy, gender, ethnicity, cognition and social media and digital networks;
· Concepts and methods such as centrality, blockmodeling, multilevel network analysis, spatial analysis, data collection, and beyond.
By providing authoritative accounts of the history, theories and methodology of various disciplines and topics, the second edition of The SAGE Handbook of Social Network Analysisis designed to provide a state-of-the-art presentation of classic and contemporary views, and to lay the foundations for the further development of the area.
PART 1: GENERAL ISSUES
PART 2: APPLICATIONS
PART 3: CONCEPTS AND METHODS
Brand new chapters provide both significant updates to topics covered in the first edition, as well as discussing cutting edge topics that have developed since, including new chapters on:
· General issues such as social categories and computational social science;
· Applications in contexts such as environmental policy, gender, ethnicity, cognition and social media and digital networks;
· Concepts and methods such as centrality, blockmodeling, multilevel network analysis, spatial analysis, data collection, and beyond.
By providing authoritative accounts of the history, theories and methodology of various disciplines and topics, the second edition of The SAGE Handbook of Social Network Analysisis designed to provide a state-of-the-art presentation of classic and contemporary views, and to lay the foundations for the further development of the area.
PART 1: GENERAL ISSUES
PART 2: APPLICATIONS
PART 3: CONCEPTS AND METHODS
Produktdetails
- Produktdetails
- Verlag: SAGE Publications Ltd / Sage Publications
- 2. Aufl.
- Seitenzahl: 674
- Erscheinungstermin: 28. Oktober 2023
- Englisch
- Abmessung: 250mm x 175mm x 40mm
- Gewicht: 1297g
- ISBN-13: 9781529779615
- ISBN-10: 1529779618
- Artikelnr.: 68041442
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
- Verlag: SAGE Publications Ltd / Sage Publications
- 2. Aufl.
- Seitenzahl: 674
- Erscheinungstermin: 28. Oktober 2023
- Englisch
- Abmessung: 250mm x 175mm x 40mm
- Gewicht: 1297g
- ISBN-13: 9781529779615
- ISBN-10: 1529779618
- Artikelnr.: 68041442
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
John McLevey is Associate Professor of Knowledge Integration and Sociology & Legal Studies at the University of Waterloo (Ontario, Canada) and the principal investigator of NETLAB. His current research concentrates on (1) the multi-level network dynamics of cognition, affect, lifestyle, influence and diffusion; and (2) generative models of opinion dynamics, mis/disinformation and censorship, and political polarization. He is the author of Doing Computational Social Science and co-author of Industrial Development and Eco-Tourisms and The Face-to-Face Principle: Science, Trust, Truth, and Democracy. He recently co-edited special journal issues on social networks and anthropogenic climate change (Social Networks, 2023) and climate change, natural resource governance, and energy futures ( Society & Natural Resources, 2020). His current research is funded by the Social Sciences and Humanities Research Council of Canada. John Scott is Emeritus Professor at Plymouth University, UK, where he was pro-Vice Chancellor for Research. He is an Honorary Visiting professor at the University of Essex, the University of Exeter, and Copenhagen University. He is an established author of 44 books on social networks, documentary research, economic sociology, social stratification, and social theory. His most recent publications include British Social Theory (Sage, 2018), British Sociology: A History (Palgrave, 2020), The Emerald Guide to Max Weber (Emerald, 2019), and The Emerald Guide to Talcott Parsons (Emerald, 2020). In social network analysis he was co-editor of The SAGE Handbook of Social Network Analysis (with Peter Carrington, 2011) and Models and Methods in Social Network Analysis (with Peter Carrington and Stan Wasserman, Cambridge University Press, 2005), and wrote Social Network Analysis (Sage, 1992; 4th edition 2017). Peter Carrington is professor emeritus of the University of Waterloo, Canada, where he worked as professor of sociology. His current research project, the Canadian Criminal Careers and Criminal Networks Study, combines his long-standing interests in social network analysis and in the development of crime and delinquency. His articles have appeared in various journals, including Criminology, Journal of Quantitative Criminology, Journal of Mathematical Sociology, Social Networks, and American Journal of Psychiatry. He was editor of Canadian Journal of Criminology and Criminal Justice (2004-14) and was editor or co-editor of Applications of Social Network Analysis (Sage, 2014), The SAGE Handbook of Social Network Analysis (Sage, 2011) and Models and Methods in Social Network Analysis (Cambridge University Press, 2005).
Chapter 1: Introduction - John Scott, John McLevey, and Peter J. Carrington
Part 1
Chapter 2: Introducing Social Network Analysis - Christina Prell and David R. Schaefer
Chapter 3: Social Networks and Social Categories - Ronald Breiger and Robin Wagner-Pacifici
Chapter 4: Social Networks and Computational Social Science - James A. Kitts, Helene Grogan and Kevin Lewis
Chapter 5: Relational Sociology: Networks, Culture, and Interaction - Jan Fuhse and Ann Mische
Part 2
Chapter 6: Social-ecological networks: What are they, why are they useful, and how can I use them? - Örjan Bodin
Chapter 7: The Evolution of Environmental Policy Network Analysis - Tyler A. Scott, Mark Lubell and Gwen Arnold UC Davis
Chapter 8: Health Behaviors and Outcomes - Kayla de la Haye
Chapter 9: Political and policy networks - Mario Diani
Chapter 10: Social Movements and Collective Action - David Tindall
Chapter 11: Gender and social networks - Elisa Bellotti
Chapter 12: Why can't we be friends? Understanding ethnic relations through network analysis - Rochelle Côté
Chapter 13: Culture and Networks - Omar Lizardo
Chapter 14: Semantic and Cultural Networks - Sarah Shugars and Sandra González-Bailón
Chapter 15: Cognition and Social Networks - Matthew E. Brashears and Victoria Money
Chapter 16: Scientific Networks - Donghyun Kang and James Evans
Chapter 17: Crime and Networks - Marie Ouellet and Logan Ledford
Chapter 18: Historical Network Analysis: Two Problems of Scale - Ian Kumekawa
Chapter 19: The Paradox of Behavior Change and the Science of Network Diffusion - Damon Centola
Chapter 20: Network Interventions: Using Social Networks to Accelerate Diffusion of Innovations - Thomas W. Valente
Chapter 21: Social Media and Digital Networks - Anabel Quan-Haase, Lyndsay Foisey and Riley McLaughlin
Chapter 22: Social Capital - Beate Völker
Chapter 23: Social Support - Lijun Song and Zhe Zhang
Chapter 24: Corporate Networks - William K. Carroll, Jouke Huijzer and J. P. Sapinski
Chapter 25: International Trade Networks - Christina Prell, James Hollway, Petr Matous and Yasuyuki Todo
Part 3
Chapter 26: Centrality - M G Everett and S P Borgatti
Chapter 27: Structural Cohesion & Cohesive Groups - James Moody and Peter J. Mucha.
Chapter 28: Multimodal social network analysis - Lorien Jasny
Chapter 29: Blockmodeling, Positions and Roles - Patrick Doreian, Anuska Ferligoj, and Vladimir Batagelj
Chapter 30: Inferential Network Clustering with Hierarchical Bayesian Stochastic Blockmodels - Pierson Browne, Tyler Crick, and John McLevey
Chapter 31: Personal Networks and Egocentric Analysis - Brea Perry, Adam Roth, and Mario Small
Chapter 32: Multilevel Network Analysis - Emmanuel Lazega and Peng Wang
Chapter 33:Exponential Random Graph Models - Johan Koskinen
Chapter 34: Network Dynamics - Tom A.B. Snijders and Christian E.G. Steglich
Chapter 35: Relational Event Models - Aaron Schecter and Noshir Contractor
Chapter 36: Latent Position Network Models - Hardeep Kaur, Riccardo Rastelli, Nial Friel and Adrian E. Raftery
Chapter 37: Negative Ties and Signed Networks - Filip Agneessens
Chapter 38: Qualitative and Mixed Methods - Betina Hollstein
Chapter 39: Spatial analysis of social networks - John R. Hipp
Chapter 40: Social Network Data Collection: Principles and Modalities - Jimi Adams and Miranda Lubbers
Chapter 41: Missing Network Data - Robert W. Krause and Mark Huisman
Chapter 42: Scientific Software for Network Analysis - Pierson Browne, Adam Howe, Yasmin Koop-Monteiro, Yixi Yang, and John McLevey
Part 1
Chapter 2: Introducing Social Network Analysis - Christina Prell and David R. Schaefer
Chapter 3: Social Networks and Social Categories - Ronald Breiger and Robin Wagner-Pacifici
Chapter 4: Social Networks and Computational Social Science - James A. Kitts, Helene Grogan and Kevin Lewis
Chapter 5: Relational Sociology: Networks, Culture, and Interaction - Jan Fuhse and Ann Mische
Part 2
Chapter 6: Social-ecological networks: What are they, why are they useful, and how can I use them? - Örjan Bodin
Chapter 7: The Evolution of Environmental Policy Network Analysis - Tyler A. Scott, Mark Lubell and Gwen Arnold UC Davis
Chapter 8: Health Behaviors and Outcomes - Kayla de la Haye
Chapter 9: Political and policy networks - Mario Diani
Chapter 10: Social Movements and Collective Action - David Tindall
Chapter 11: Gender and social networks - Elisa Bellotti
Chapter 12: Why can't we be friends? Understanding ethnic relations through network analysis - Rochelle Côté
Chapter 13: Culture and Networks - Omar Lizardo
Chapter 14: Semantic and Cultural Networks - Sarah Shugars and Sandra González-Bailón
Chapter 15: Cognition and Social Networks - Matthew E. Brashears and Victoria Money
Chapter 16: Scientific Networks - Donghyun Kang and James Evans
Chapter 17: Crime and Networks - Marie Ouellet and Logan Ledford
Chapter 18: Historical Network Analysis: Two Problems of Scale - Ian Kumekawa
Chapter 19: The Paradox of Behavior Change and the Science of Network Diffusion - Damon Centola
Chapter 20: Network Interventions: Using Social Networks to Accelerate Diffusion of Innovations - Thomas W. Valente
Chapter 21: Social Media and Digital Networks - Anabel Quan-Haase, Lyndsay Foisey and Riley McLaughlin
Chapter 22: Social Capital - Beate Völker
Chapter 23: Social Support - Lijun Song and Zhe Zhang
Chapter 24: Corporate Networks - William K. Carroll, Jouke Huijzer and J. P. Sapinski
Chapter 25: International Trade Networks - Christina Prell, James Hollway, Petr Matous and Yasuyuki Todo
Part 3
Chapter 26: Centrality - M G Everett and S P Borgatti
Chapter 27: Structural Cohesion & Cohesive Groups - James Moody and Peter J. Mucha.
Chapter 28: Multimodal social network analysis - Lorien Jasny
Chapter 29: Blockmodeling, Positions and Roles - Patrick Doreian, Anuska Ferligoj, and Vladimir Batagelj
Chapter 30: Inferential Network Clustering with Hierarchical Bayesian Stochastic Blockmodels - Pierson Browne, Tyler Crick, and John McLevey
Chapter 31: Personal Networks and Egocentric Analysis - Brea Perry, Adam Roth, and Mario Small
Chapter 32: Multilevel Network Analysis - Emmanuel Lazega and Peng Wang
Chapter 33:Exponential Random Graph Models - Johan Koskinen
Chapter 34: Network Dynamics - Tom A.B. Snijders and Christian E.G. Steglich
Chapter 35: Relational Event Models - Aaron Schecter and Noshir Contractor
Chapter 36: Latent Position Network Models - Hardeep Kaur, Riccardo Rastelli, Nial Friel and Adrian E. Raftery
Chapter 37: Negative Ties and Signed Networks - Filip Agneessens
Chapter 38: Qualitative and Mixed Methods - Betina Hollstein
Chapter 39: Spatial analysis of social networks - John R. Hipp
Chapter 40: Social Network Data Collection: Principles and Modalities - Jimi Adams and Miranda Lubbers
Chapter 41: Missing Network Data - Robert W. Krause and Mark Huisman
Chapter 42: Scientific Software for Network Analysis - Pierson Browne, Adam Howe, Yasmin Koop-Monteiro, Yixi Yang, and John McLevey
Chapter 1: Introduction - John Scott, John McLevey, and Peter J. Carrington
Part 1
Chapter 2: Introducing Social Network Analysis - Christina Prell and David R. Schaefer
Chapter 3: Social Networks and Social Categories - Ronald Breiger and Robin Wagner-Pacifici
Chapter 4: Social Networks and Computational Social Science - James A. Kitts, Helene Grogan and Kevin Lewis
Chapter 5: Relational Sociology: Networks, Culture, and Interaction - Jan Fuhse and Ann Mische
Part 2
Chapter 6: Social-ecological networks: What are they, why are they useful, and how can I use them? - Örjan Bodin
Chapter 7: The Evolution of Environmental Policy Network Analysis - Tyler A. Scott, Mark Lubell and Gwen Arnold UC Davis
Chapter 8: Health Behaviors and Outcomes - Kayla de la Haye
Chapter 9: Political and policy networks - Mario Diani
Chapter 10: Social Movements and Collective Action - David Tindall
Chapter 11: Gender and social networks - Elisa Bellotti
Chapter 12: Why can't we be friends? Understanding ethnic relations through network analysis - Rochelle Côté
Chapter 13: Culture and Networks - Omar Lizardo
Chapter 14: Semantic and Cultural Networks - Sarah Shugars and Sandra González-Bailón
Chapter 15: Cognition and Social Networks - Matthew E. Brashears and Victoria Money
Chapter 16: Scientific Networks - Donghyun Kang and James Evans
Chapter 17: Crime and Networks - Marie Ouellet and Logan Ledford
Chapter 18: Historical Network Analysis: Two Problems of Scale - Ian Kumekawa
Chapter 19: The Paradox of Behavior Change and the Science of Network Diffusion - Damon Centola
Chapter 20: Network Interventions: Using Social Networks to Accelerate Diffusion of Innovations - Thomas W. Valente
Chapter 21: Social Media and Digital Networks - Anabel Quan-Haase, Lyndsay Foisey and Riley McLaughlin
Chapter 22: Social Capital - Beate Völker
Chapter 23: Social Support - Lijun Song and Zhe Zhang
Chapter 24: Corporate Networks - William K. Carroll, Jouke Huijzer and J. P. Sapinski
Chapter 25: International Trade Networks - Christina Prell, James Hollway, Petr Matous and Yasuyuki Todo
Part 3
Chapter 26: Centrality - M G Everett and S P Borgatti
Chapter 27: Structural Cohesion & Cohesive Groups - James Moody and Peter J. Mucha.
Chapter 28: Multimodal social network analysis - Lorien Jasny
Chapter 29: Blockmodeling, Positions and Roles - Patrick Doreian, Anuska Ferligoj, and Vladimir Batagelj
Chapter 30: Inferential Network Clustering with Hierarchical Bayesian Stochastic Blockmodels - Pierson Browne, Tyler Crick, and John McLevey
Chapter 31: Personal Networks and Egocentric Analysis - Brea Perry, Adam Roth, and Mario Small
Chapter 32: Multilevel Network Analysis - Emmanuel Lazega and Peng Wang
Chapter 33:Exponential Random Graph Models - Johan Koskinen
Chapter 34: Network Dynamics - Tom A.B. Snijders and Christian E.G. Steglich
Chapter 35: Relational Event Models - Aaron Schecter and Noshir Contractor
Chapter 36: Latent Position Network Models - Hardeep Kaur, Riccardo Rastelli, Nial Friel and Adrian E. Raftery
Chapter 37: Negative Ties and Signed Networks - Filip Agneessens
Chapter 38: Qualitative and Mixed Methods - Betina Hollstein
Chapter 39: Spatial analysis of social networks - John R. Hipp
Chapter 40: Social Network Data Collection: Principles and Modalities - Jimi Adams and Miranda Lubbers
Chapter 41: Missing Network Data - Robert W. Krause and Mark Huisman
Chapter 42: Scientific Software for Network Analysis - Pierson Browne, Adam Howe, Yasmin Koop-Monteiro, Yixi Yang, and John McLevey
Part 1
Chapter 2: Introducing Social Network Analysis - Christina Prell and David R. Schaefer
Chapter 3: Social Networks and Social Categories - Ronald Breiger and Robin Wagner-Pacifici
Chapter 4: Social Networks and Computational Social Science - James A. Kitts, Helene Grogan and Kevin Lewis
Chapter 5: Relational Sociology: Networks, Culture, and Interaction - Jan Fuhse and Ann Mische
Part 2
Chapter 6: Social-ecological networks: What are they, why are they useful, and how can I use them? - Örjan Bodin
Chapter 7: The Evolution of Environmental Policy Network Analysis - Tyler A. Scott, Mark Lubell and Gwen Arnold UC Davis
Chapter 8: Health Behaviors and Outcomes - Kayla de la Haye
Chapter 9: Political and policy networks - Mario Diani
Chapter 10: Social Movements and Collective Action - David Tindall
Chapter 11: Gender and social networks - Elisa Bellotti
Chapter 12: Why can't we be friends? Understanding ethnic relations through network analysis - Rochelle Côté
Chapter 13: Culture and Networks - Omar Lizardo
Chapter 14: Semantic and Cultural Networks - Sarah Shugars and Sandra González-Bailón
Chapter 15: Cognition and Social Networks - Matthew E. Brashears and Victoria Money
Chapter 16: Scientific Networks - Donghyun Kang and James Evans
Chapter 17: Crime and Networks - Marie Ouellet and Logan Ledford
Chapter 18: Historical Network Analysis: Two Problems of Scale - Ian Kumekawa
Chapter 19: The Paradox of Behavior Change and the Science of Network Diffusion - Damon Centola
Chapter 20: Network Interventions: Using Social Networks to Accelerate Diffusion of Innovations - Thomas W. Valente
Chapter 21: Social Media and Digital Networks - Anabel Quan-Haase, Lyndsay Foisey and Riley McLaughlin
Chapter 22: Social Capital - Beate Völker
Chapter 23: Social Support - Lijun Song and Zhe Zhang
Chapter 24: Corporate Networks - William K. Carroll, Jouke Huijzer and J. P. Sapinski
Chapter 25: International Trade Networks - Christina Prell, James Hollway, Petr Matous and Yasuyuki Todo
Part 3
Chapter 26: Centrality - M G Everett and S P Borgatti
Chapter 27: Structural Cohesion & Cohesive Groups - James Moody and Peter J. Mucha.
Chapter 28: Multimodal social network analysis - Lorien Jasny
Chapter 29: Blockmodeling, Positions and Roles - Patrick Doreian, Anuska Ferligoj, and Vladimir Batagelj
Chapter 30: Inferential Network Clustering with Hierarchical Bayesian Stochastic Blockmodels - Pierson Browne, Tyler Crick, and John McLevey
Chapter 31: Personal Networks and Egocentric Analysis - Brea Perry, Adam Roth, and Mario Small
Chapter 32: Multilevel Network Analysis - Emmanuel Lazega and Peng Wang
Chapter 33:Exponential Random Graph Models - Johan Koskinen
Chapter 34: Network Dynamics - Tom A.B. Snijders and Christian E.G. Steglich
Chapter 35: Relational Event Models - Aaron Schecter and Noshir Contractor
Chapter 36: Latent Position Network Models - Hardeep Kaur, Riccardo Rastelli, Nial Friel and Adrian E. Raftery
Chapter 37: Negative Ties and Signed Networks - Filip Agneessens
Chapter 38: Qualitative and Mixed Methods - Betina Hollstein
Chapter 39: Spatial analysis of social networks - John R. Hipp
Chapter 40: Social Network Data Collection: Principles and Modalities - Jimi Adams and Miranda Lubbers
Chapter 41: Missing Network Data - Robert W. Krause and Mark Huisman
Chapter 42: Scientific Software for Network Analysis - Pierson Browne, Adam Howe, Yasmin Koop-Monteiro, Yixi Yang, and John McLevey