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Analyzing a User's Contributive Social Capital Based on Acitivities in Online Social Networks and Media

Authors:

Sebastian Schams,

Georg GrohAuthors Info & Claims

WWW '18: Companion Proceedings of the The Web Conference 2018

Pages 1457 - 1464

https://doi.org/10.1145/3184558.3191593

Published: 23 April 2018 Publication History

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Abstract

To improve the quality of communication in Online Social Networks and Media (OSNEM), we envision a system that models a person's contributive social capital (CSC), which encompasses their competence, trustworthiness, and social responsibility. Having the CSC score available may inspire social behavior and mutual support. The system is based on three pillars: the analysis of OSNEM activity, interactions in virtual social capital market systems, and personal endorsements. In this paper we present our investigations regarding the first pillar. To obtain a dataset, we ran an experiment where 165 participants interacted on a custom social networking platform and assessed each other. Ground truth data was derived from these assessments. The dataset shows characteristics that are similar to larger OSNs. With different machine learning algorithms we investigated the hypothesis that contributive social capital can be extracted from network properties and networking activity, which were assessed with features such as the number of contributions of each participant. The prediction of contributive social capital showed an improvement over the baseline. A ranking of the participants following their predicted CSC scores showed a moderate correlation with the ranking according to the ground truth assessment. We also investigated the relative importance of the features for the analysis, and the effect of excluding inactive users to better understand network dynamics on a micro level. The selected features are also available in most other OSNEM platforms, like Facebook and Twitter. This allows a large-scale application of our investigations.

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Cited By

Rough DDe Paoli SWilson A(2021)Commonshare: A New Approach to Social Reputation for Online Collaborative CommunitiesSocial Science Computer Review10.1177/0894439321102819141:1(4-26)Online publication date: 9-Jul-2021
https://doi.org/10.1177/08944393211028191
da Silva Ferreira GGomes APereira Ada Rocha L(2021)A Mobile Tool for Collecting and Labeling Data on Twitter's Network Sociability PracticesProceedings of the Brazilian Symposium on Multimedia and the Web10.1145/3470482.3479438(25-28)Online publication date: 5-Nov-2021
https://dl.acm.org/doi/10.1145/3470482.3479438
da Silva Ferreira GGomes APereira Ada Rocha L(2021)A Systematic Process for Computing Bourdieusian Social Capital within Institutional Profiles on TwitterProceedings of the Brazilian Symposium on Multimedia and the Web10.1145/3470482.3479437(17-24)Online publication date: 5-Nov-2021
https://dl.acm.org/doi/10.1145/3470482.3479437
Show More Cited By

Index Terms

Analyzing a User's Contributive Social Capital Based on Acitivities in Online Social Networks and Media
1. Human-centered computing
  1. Collaborative and social computing
2. Information systems
  1. Information systems applications
    1. Collaborative and social computing systems and tools
      1. Reputation systems

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Information & Contributors

Information

Published In

cover image ACM Other conferences

WWW '18: Companion Proceedings of the The Web Conference 2018

April 2018

2023 pages

ISBN:9781450356404

General Chairs:
Pierre-Antoine Champin
Université Claude Bernard Lyon 1, France
,
Fabien Gandon
Inria, Université Côte d'Azur, CNRS, I3S, France
,
Lionel Médini
Université Claude Bernard Lyon 1, CNRS, LIRIS, France
,
Program Chairs:
Mounia Lalmas
Spotify, UK
,
Panagiotis G. Ipeirotis
New York University, USA

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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IW3C2: International World Wide Web Conference Committee

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 23 April 2018

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WWW '18

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IW3C2

WWW '18: The Web Conference 2018

April 23 - 27, 2018

Lyon, France

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

Rough DDe Paoli SWilson A(2021)Commonshare: A New Approach to Social Reputation for Online Collaborative CommunitiesSocial Science Computer Review10.1177/0894439321102819141:1(4-26)Online publication date: 9-Jul-2021
https://doi.org/10.1177/08944393211028191
da Silva Ferreira GGomes APereira Ada Rocha L(2021)A Mobile Tool for Collecting and Labeling Data on Twitter's Network Sociability PracticesProceedings of the Brazilian Symposium on Multimedia and the Web10.1145/3470482.3479438(25-28)Online publication date: 5-Nov-2021
https://dl.acm.org/doi/10.1145/3470482.3479438
da Silva Ferreira GGomes APereira Ada Rocha L(2021)A Systematic Process for Computing Bourdieusian Social Capital within Institutional Profiles on TwitterProceedings of the Brazilian Symposium on Multimedia and the Web10.1145/3470482.3479437(17-24)Online publication date: 5-Nov-2021
https://dl.acm.org/doi/10.1145/3470482.3479437
Cunha KCosta RGomes A(2021)A Measurement Approach to the Bourdieusian Social Capital within Facebook Institutional PagesProceedings of the XVII Brazilian Symposium on Information Systems10.1145/3466933.3466964(1-8)Online publication date: 7-Jun-2021
https://dl.acm.org/doi/10.1145/3466933.3466964
Schams SHauffa JSchmidt MGroh G(2019)Market Systems as a Source of Individual Contributive Social Capital ScoresProceedings of Mensch und Computer 201910.1145/3340764.3344433(421-425)Online publication date: 8-Sep-2019
https://dl.acm.org/doi/10.1145/3340764.3344433
Sharma RMcAreavey KHong JGhaffar F(2018)Individual-Level Social Capital in Weighted and Attributed Social Networks2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)10.1109/ASONAM.2018.8508302(1032-1037)Online publication date: Aug-2018
https://doi.org/10.1109/ASONAM.2018.8508302

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