Differential Impact of Directors’ Social and Financial Capital on Corporate Interlock Formation
Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide a self-contained, exhaustive account of the theoretical and methodological underpinnings of ER...
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sg-smu-ink.soss_research-24812020-06-02T05:59:26Z Differential Impact of Directors’ Social and Financial Capital on Corporate Interlock Formation HARRIGAN, Nicholas BOND, Matthew Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide a self-contained, exhaustive account of the theoretical and methodological underpinnings of ERGMs, including models for univariate, multivariate, bipartite, longitudinal and social-influence type ERGMs. Each method is applied in individual case studies illustrating how social science theories may be examined empirically using ERGMs. The authors supply the reader with sufficient detail to specify ERGMs, fit them to data with any of the available software packages and interpret the results. 2012-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soss_research/1225 info:doi/10.1017/CBO9780511894701.023 https://ink.library.smu.edu.sg/context/soss_research/article/2481/viewcontent/Harrigan_5b_Research_Paper_2_Cambridge_UP.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School of Social Sciences eng Institutional Knowledge at Singapore Management University Social networks Organizational Behavior and Theory Sociology |
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Social networks Organizational Behavior and Theory Sociology HARRIGAN, Nicholas BOND, Matthew Differential Impact of Directors’ Social and Financial Capital on Corporate Interlock Formation |
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Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide a self-contained, exhaustive account of the theoretical and methodological underpinnings of ERGMs, including models for univariate, multivariate, bipartite, longitudinal and social-influence type ERGMs. Each method is applied in individual case studies illustrating how social science theories may be examined empirically using ERGMs. The authors supply the reader with sufficient detail to specify ERGMs, fit them to data with any of the available software packages and interpret the results. |
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text |
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HARRIGAN, Nicholas BOND, Matthew |
author_facet |
HARRIGAN, Nicholas BOND, Matthew |
author_sort |
HARRIGAN, Nicholas |
title |
Differential Impact of Directors’ Social and Financial Capital on Corporate Interlock Formation |
title_short |
Differential Impact of Directors’ Social and Financial Capital on Corporate Interlock Formation |
title_full |
Differential Impact of Directors’ Social and Financial Capital on Corporate Interlock Formation |
title_fullStr |
Differential Impact of Directors’ Social and Financial Capital on Corporate Interlock Formation |
title_full_unstemmed |
Differential Impact of Directors’ Social and Financial Capital on Corporate Interlock Formation |
title_sort |
differential impact of directors’ social and financial capital on corporate interlock formation |
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Institutional Knowledge at Singapore Management University |
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2012 |
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https://ink.library.smu.edu.sg/soss_research/1225 https://ink.library.smu.edu.sg/context/soss_research/article/2481/viewcontent/Harrigan_5b_Research_Paper_2_Cambridge_UP.pdf |
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1770571571512999936 |