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Inferring Social Status and Rich Club Effects in Enterprise Communication Networks

Social status, defined as the relative rank or position that an individual holds in a social hierarchy, is known to be among the most important motivating forces in social behaviors. In this paper, we consider the notion of status from the perspective of a position or title held by a person in an en...

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Autores principales: Dong, Yuxiao, Tang, Jie, Chawla, Nitesh V., Lou, Tiancheng, Yang, Yang, Wang, Bai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379184/
https://www.ncbi.nlm.nih.gov/pubmed/25822343
http://dx.doi.org/10.1371/journal.pone.0119446
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author Dong, Yuxiao
Tang, Jie
Chawla, Nitesh V.
Lou, Tiancheng
Yang, Yang
Wang, Bai
author_facet Dong, Yuxiao
Tang, Jie
Chawla, Nitesh V.
Lou, Tiancheng
Yang, Yang
Wang, Bai
author_sort Dong, Yuxiao
collection PubMed
description Social status, defined as the relative rank or position that an individual holds in a social hierarchy, is known to be among the most important motivating forces in social behaviors. In this paper, we consider the notion of status from the perspective of a position or title held by a person in an enterprise. We study the intersection of social status and social networks in an enterprise. We study whether enterprise communication logs can help reveal how social interactions and individual status manifest themselves in social networks. To that end, we use two enterprise datasets with three communication channels — voice call, short message, and email — to demonstrate the social-behavioral differences among individuals with different status. We have several interesting findings and based on these findings we also develop a model to predict social status. On the individual level, high-status individuals are more likely to be spanned as structural holes by linking to people in parts of the enterprise networks that are otherwise not well connected to one another. On the community level, the principle of homophily, social balance and clique theory generally indicate a “rich club” maintained by high-status individuals, in the sense that this community is much more connected, balanced and dense. Our model can predict social status of individuals with 93% accuracy.
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spelling pubmed-43791842015-04-09 Inferring Social Status and Rich Club Effects in Enterprise Communication Networks Dong, Yuxiao Tang, Jie Chawla, Nitesh V. Lou, Tiancheng Yang, Yang Wang, Bai PLoS One Research Article Social status, defined as the relative rank or position that an individual holds in a social hierarchy, is known to be among the most important motivating forces in social behaviors. In this paper, we consider the notion of status from the perspective of a position or title held by a person in an enterprise. We study the intersection of social status and social networks in an enterprise. We study whether enterprise communication logs can help reveal how social interactions and individual status manifest themselves in social networks. To that end, we use two enterprise datasets with three communication channels — voice call, short message, and email — to demonstrate the social-behavioral differences among individuals with different status. We have several interesting findings and based on these findings we also develop a model to predict social status. On the individual level, high-status individuals are more likely to be spanned as structural holes by linking to people in parts of the enterprise networks that are otherwise not well connected to one another. On the community level, the principle of homophily, social balance and clique theory generally indicate a “rich club” maintained by high-status individuals, in the sense that this community is much more connected, balanced and dense. Our model can predict social status of individuals with 93% accuracy. Public Library of Science 2015-03-30 /pmc/articles/PMC4379184/ /pubmed/25822343 http://dx.doi.org/10.1371/journal.pone.0119446 Text en © 2015 Dong et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Dong, Yuxiao
Tang, Jie
Chawla, Nitesh V.
Lou, Tiancheng
Yang, Yang
Wang, Bai
Inferring Social Status and Rich Club Effects in Enterprise Communication Networks
title Inferring Social Status and Rich Club Effects in Enterprise Communication Networks
title_full Inferring Social Status and Rich Club Effects in Enterprise Communication Networks
title_fullStr Inferring Social Status and Rich Club Effects in Enterprise Communication Networks
title_full_unstemmed Inferring Social Status and Rich Club Effects in Enterprise Communication Networks
title_short Inferring Social Status and Rich Club Effects in Enterprise Communication Networks
title_sort inferring social status and rich club effects in enterprise communication networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379184/
https://www.ncbi.nlm.nih.gov/pubmed/25822343
http://dx.doi.org/10.1371/journal.pone.0119446
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