Intervening in networks can lead to complex and unexpected outcomes. This paper introduces reviews current analytical approaches for forecasting how a network might react to an intervention or disruption: reviewing studies from fields of network science including sociology, computer science, neuroscience, and logistics management. We find a wide range of conflicting theories about how networks recover from disruption but little empirical research on how networks react to disruption, and none at all on how social networks react to disruptions. We suggest several approaches to empirically studying network reactions and using this information to forecast network reactions including the use of Exponential Random Graph Models and Stochastic Actor Oriented Models.
{"title":"Forecasting Social Network Reaction to Disruption: Current Practices and New Directions","authors":"Jonathan Mellon, D. Evans","doi":"10.2139/ssrn.3144118","DOIUrl":"https://doi.org/10.2139/ssrn.3144118","url":null,"abstract":"Intervening in networks can lead to complex and unexpected outcomes. This paper introduces reviews current analytical approaches for forecasting how a network might react to an intervention or disruption: reviewing studies from fields of network science including sociology, computer science, neuroscience, and logistics management. We find a wide range of conflicting theories about how networks recover from disruption but little empirical research on how networks react to disruption, and none at all on how social networks react to disruptions. We suggest several approaches to empirically studying network reactions and using this information to forecast network reactions including the use of Exponential Random Graph Models and Stochastic Actor Oriented Models.","PeriodicalId":220868,"journal":{"name":"ORG: Network Formation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131046065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We survey the literature on the economic consequences of the structure of social networks. We develop a taxonomy of "macro" and "micro" characteristics of social-interaction networks and discuss both the theoretical and empirical findings concerning the role of those characteristics in determining learning, diffusion, decisions, and resulting behaviors. We also discuss the challenges of accounting for the endogeneity of networks in assessing the relationship between the patterns of interactions and behaviors.
{"title":"The Economic Consequences of Social Network Structure","authors":"M. Jackson, Brian W. Rogers, Y. Zenou","doi":"10.2139/ssrn.2467812","DOIUrl":"https://doi.org/10.2139/ssrn.2467812","url":null,"abstract":"We survey the literature on the economic consequences of the structure of social networks. We develop a taxonomy of \"macro\" and \"micro\" characteristics of social-interaction networks and discuss both the theoretical and empirical findings concerning the role of those characteristics in determining learning, diffusion, decisions, and resulting behaviors. We also discuss the challenges of accounting for the endogeneity of networks in assessing the relationship between the patterns of interactions and behaviors.","PeriodicalId":220868,"journal":{"name":"ORG: Network Formation","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125895922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Gordon, Hilla Dotan, Salvatore Parise, Elizabeth Volpe
This research examines whether organizational support of social media affects employees’ satisfaction with work, their commitment to and engagement with their organization, and their knowledge of the organization and its members. It is motivated by three interconnected hypotheses. First, organizational support for social media increases its use within the organization. Second, the use of social media within the organization increases the number and depth of office friendships. Finally, the number and quality of office relationships has an effect on employee satisfaction, commitment and engagement, and knowledge. We conclude that organizational support of social media has a positive effect on the human resource variables of interest.
{"title":"Does Organizational Support of Social Media Affect Worker Satisfaction, Involvement, and Organizational Knowledge?","authors":"S. Gordon, Hilla Dotan, Salvatore Parise, Elizabeth Volpe","doi":"10.2139/ssrn.2235554","DOIUrl":"https://doi.org/10.2139/ssrn.2235554","url":null,"abstract":"This research examines whether organizational support of social media affects employees’ satisfaction with work, their commitment to and engagement with their organization, and their knowledge of the organization and its members. It is motivated by three interconnected hypotheses. First, organizational support for social media increases its use within the organization. Second, the use of social media within the organization increases the number and depth of office friendships. Finally, the number and quality of office relationships has an effect on employee satisfaction, commitment and engagement, and knowledge. We conclude that organizational support of social media has a positive effect on the human resource variables of interest.","PeriodicalId":220868,"journal":{"name":"ORG: Network Formation","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115272942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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