Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1782364159743098880 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4379184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT dongyuxiao inferringsocialstatusandrichclubeffectsinenterprisecommunicationnetworks AT tangjie inferringsocialstatusandrichclubeffectsinenterprisecommunicationnetworks AT chawlaniteshv inferringsocialstatusandrichclubeffectsinenterprisecommunicationnetworks AT loutiancheng inferringsocialstatusandrichclubeffectsinenterprisecommunicationnetworks AT yangyang inferringsocialstatusandrichclubeffectsinenterprisecommunicationnetworks AT wangbai inferringsocialstatusandrichclubeffectsinenterprisecommunicationnetworks |