research-article

Study on the Relationship between Profile Images and User Behaviors on Twitter

Authors:

Tomu Tominaga,

Yoshinori HijikataAuthors Info & Claims

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

Pages 825 - 828

https://doi.org/10.1145/2740908.2742467

Published: 18 May 2015 Publication History

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Abstract

In recent years, many researchers have studied the characteristics of Twitter, which is a microblogging service used by a large number of people worldwide. However, to the best of our knowledge, no study has yet been conducted to study the relationship between profile images and user behaviors on Twitter. We assume that the profile images and behaviors of users are influenced by their internal properties, because users consider their profile images as symbolic representations of themselves on Twitter. We empirically categorized profile images into 13 types, and investigated the relationships between each category of profile images and users' behaviors on Twitter.

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Cited By

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Mao YZhu YLiu YLin QLu HZhang F(2020)Classifying user connections through social media avatars and users social activities: a case study in identifying sellers on social mediaEnterprise Information Systems10.1080/17517575.2020.1856420(1-20)Online publication date: 18-Dec-2020
https://doi.org/10.1080/17517575.2020.1856420
Wu YZhang YWang TWang H(2019)Exploring the Relationship Between Developer Activities and Profile Images on GitHubProceedings of the 11th Asia-Pacific Symposium on Internetware10.1145/3361242.3361244(1-10)Online publication date: 28-Oct-2019
https://dl.acm.org/doi/10.1145/3361242.3361244
Jiang CGao LDuan LHuang J(2016)Exploiting Data Reuse in Mobile Crowdsensing2016 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2016.7841828(1-6)Online publication date: Dec-2016
https://doi.org/10.1109/GLOCOM.2016.7841828
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Index Terms

Study on the Relationship between Profile Images and User Behaviors on Twitter
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Web-based interaction

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WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

May 2015

1602 pages

ISBN:9781450334730

DOI:10.1145/2740908

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

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

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Association for Computing Machinery

New York, NY, United States

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Published: 18 May 2015

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WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

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Mao YZhu YLiu YLin QLu HZhang F(2020)Classifying user connections through social media avatars and users social activities: a case study in identifying sellers on social mediaEnterprise Information Systems10.1080/17517575.2020.1856420(1-20)Online publication date: 18-Dec-2020
https://doi.org/10.1080/17517575.2020.1856420
Wu YZhang YWang TWang H(2019)Exploring the Relationship Between Developer Activities and Profile Images on GitHubProceedings of the 11th Asia-Pacific Symposium on Internetware10.1145/3361242.3361244(1-10)Online publication date: 28-Oct-2019
https://dl.acm.org/doi/10.1145/3361242.3361244
Jiang CGao LDuan LHuang J(2016)Exploiting Data Reuse in Mobile Crowdsensing2016 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2016.7841828(1-6)Online publication date: Dec-2016
https://doi.org/10.1109/GLOCOM.2016.7841828
Jiang JWen SYu SZhou WQian Y(2016)Analysis of the Spreading Influence Variations for Online Social Users under Attacks2016 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2016.7841605(1-6)Online publication date: Dec-2016
https://doi.org/10.1109/GLOCOM.2016.7841605

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Understanding how user activities are related to profile images on Twitter through regression analysis

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