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Socio-Ethnic Ingredients of Social Network Communities

Authors:

Tushar Maheshwari,

Aishwarya N. Reganti,

Tanmoy Chakraborty,

Amitava DasAuthors Info & Claims

CSCW '17 Companion: Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

Pages 235 - 238

https://doi.org/10.1145/3022198.3026322

Published: 25 February 2017 Publication History

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Abstract

In network science, a community is considered to be a group of nodes densely connected internally and sparsely connected externally. Detecting and analyzing communities from social networks has attracted immense attention over the last decade. However, the semantic interpretation of a community is hardly studied. In this paper, we attempt to understand { em whether individuals in a community possess similar personalities, values and ethical background}. To this end, we collect Twitter values corpus, extract the network communities and propose automatic models to determine personality, values, considered as ethnicity of individuals. Various experiments are performed to understand the characteristics or blend of characteristics of individuals within a community.

References

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Tanmoy Chakraborty, Ayushi Dalmia, Animesh Mukherjee, and Niloy Ganguly. 2016. Metrics for Community Analysis: A Survey. CoRR abs/1604.03512 (2016).

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Cited By

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Yıldız ZSubaşı Ö(2023)An Institutional Perspective: How Gatekeepers on a Higher Education Interact for the Organization of AccessComputer Supported Cooperative Work (CSCW)10.1007/s10606-023-09471-w32:3(713-744)Online publication date: 17-Jun-2023
https://doi.org/10.1007/s10606-023-09471-w
Golder SStevens RO'Connor KJames RGonzalez-Hernandez G(2022)Methods to Establish Race or Ethnicity of Twitter Users: Scoping ReviewJournal of Medical Internet Research10.2196/3578824:4(e35788)Online publication date: 29-Apr-2022
https://doi.org/10.2196/35788
Fleischmann KGreenberg SGurari DStangl AVerma NDay JSimons RYeh TGilbert EKarahalios K(2019)Good SystemsCompanion Publication of the 2019 Conference on Computer Supported Cooperative Work and Social Computing10.1145/3311957.3359437(461-467)Online publication date: 9-Nov-2019
https://dl.acm.org/doi/10.1145/3311957.3359437
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Socio-Ethnic Ingredients of Social Network Communities

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Information

Published In

CSCW '17 Companion: Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

February 2017

472 pages

ISBN:9781450346887

DOI:10.1145/3022198

General Chairs:
Charlotte P. Lee
University of Washington
,
Steve Poltrock
Retired
,
Program Chairs:
Louise Barkhuus
Stockholm University and Cornell Tech
,
Marcos Borges
Universidade Federal do Rio de Janeiro
,
Wendy Kellogg
IBM T.J. Watson Research Center

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 February 2017

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CSCW '17

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SIGCHI

CSCW '17: Computer Supported Cooperative Work and Social Computing

February 25 - March 1, 2017

Oregon, Portland, USA

Acceptance Rates

CSCW '17 Companion Paper Acceptance Rate 183 of 530 submissions, 35%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

Upcoming Conference

CSCW '25

Sponsor:
sigchi

Computer-Supported Cooperative Work and Social Computing

October 18 - 22, 2025

Bergen , Norway

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Cited By

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Yıldız ZSubaşı Ö(2023)An Institutional Perspective: How Gatekeepers on a Higher Education Interact for the Organization of AccessComputer Supported Cooperative Work (CSCW)10.1007/s10606-023-09471-w32:3(713-744)Online publication date: 17-Jun-2023
https://doi.org/10.1007/s10606-023-09471-w
Golder SStevens RO'Connor KJames RGonzalez-Hernandez G(2022)Methods to Establish Race or Ethnicity of Twitter Users: Scoping ReviewJournal of Medical Internet Research10.2196/3578824:4(e35788)Online publication date: 29-Apr-2022
https://doi.org/10.2196/35788
Fleischmann KGreenberg SGurari DStangl AVerma NDay JSimons RYeh TGilbert EKarahalios K(2019)Good SystemsCompanion Publication of the 2019 Conference on Computer Supported Cooperative Work and Social Computing10.1145/3311957.3359437(461-467)Online publication date: 9-Nov-2019
https://dl.acm.org/doi/10.1145/3311957.3359437
Solomon RPYKL SDas AGamback BChakraborty T(2019)Understanding the Psycho-Sociological Facets of Homophily in Social Network CommunitiesIEEE Computational Intelligence Magazine10.1109/MCI.2019.290108414:2(28-40)Online publication date: May-2019
https://doi.org/10.1109/MCI.2019.2901084
Reganti AMaheshwari TDas AChakraborthy TKumaraguru P(2017)Understanding Psycho-Sociological Vulnerability of ISIS Patronizers in TwitterProceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 201710.1145/3110025.3110060(621-624)Online publication date: 31-Jul-2017
https://dl.acm.org/doi/10.1145/3110025.3110060

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Cited By

Index Terms

Recommendations

Inducing Personalities and Values from Language Use in Social Network Communities

Predicting Dark Triad Personality Traits from Twitter Usage and a Linguistic Analysis of Tweets

A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage