research-article

Understanding user behavior in a local social media platform by social network analysis

Authors:

Matti Hämäläinen,

Antti Virolainen,

Juho MakkonenAuthors Info & Claims

MindTrek '11: Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments

Pages 183 - 188

https://doi.org/10.1145/2181037.2181067

Published: 28 September 2011 Publication History

Abstract

Characterizing user behavior by social network analysis in social media has been an active research domain for a long time. However, much previous research has focused on the large-scale global social media such as Facebook, Wikipedia and Twitter. Comparatively, little research has been done for the local social media. In this paper, We study the user behavior by social network analysis in a campus-based social media platform for exchanging goods and services. We also study the correlation between social networks and users' exchanging behaviors. Finally, we discuss the implications of our findings and future work.

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Cited By

Linnes CItoga HAgrusa JLema J(2021)Sustainable Tourism Empowered by Social Network Analysis to Gain a Competitive Edge at a Historic SiteTourism and Hospitality10.3390/tourhosp20400222:4(332-346)Online publication date: 14-Oct-2021
https://doi.org/10.3390/tourhosp2040022
Ahmed WLugovic S(2018)Social media analytics: analysis and visualisation of news diffusion using NodeXLOnline Information Review10.1108/OIR-03-2018-0093Online publication date: 24-Oct-2018
https://doi.org/10.1108/OIR-03-2018-0093

Index Terms

Understanding user behavior in a local social media platform by social network analysis
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI theory, concepts and models
  2. Interaction design
    1. Interaction design theory, concepts and paradigms

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Published In

cover image ACM Other conferences

MindTrek '11: Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments

September 2011

341 pages

ISBN:9781450308168

DOI:10.1145/2181037

Conference Chair:
Artur Lugmayr
Tampere University of Technology, Finland
,
Program Chairs:
Heljä Franssila
Tampere Univ. (UTA), Finland
,
Christian Safran
Graz University of Technology, AUT
,
Imed Hammouda
Tampere Univ. of Technology (TUT), Finland

Copyright © 2011 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 September 2011

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MindTrek '11

MindTrek '11: Academic MindTrek 2011

September 28 - 30, 2011

Tampere, Finland

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Cited By

Linnes CItoga HAgrusa JLema J(2021)Sustainable Tourism Empowered by Social Network Analysis to Gain a Competitive Edge at a Historic SiteTourism and Hospitality10.3390/tourhosp20400222:4(332-346)Online publication date: 14-Oct-2021
https://doi.org/10.3390/tourhosp2040022
Ahmed WLugovic S(2018)Social media analytics: analysis and visualisation of news diffusion using NodeXLOnline Information Review10.1108/OIR-03-2018-0093Online publication date: 24-Oct-2018
https://doi.org/10.1108/OIR-03-2018-0093

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