Toward understanding the mobile social properties: An analysis on instagram photo-sharing network

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Abstract

In this paper, we study an important issue whether the network properties on mobile social networks are still similar to these on traditional web-based social networks. To explore such answers is important since the paradigm shift has already happened from PC-based access to mobile access nowadays. In this paper, we focus on Instagram, which is a remarkable mobile-based photo sharing platform, as the reference network. We comprehensively study its network properties in the quantitative sense, and reveal some interesting results. Surprisingly, some properties in Instagram are highly diverse from these characteristics in traditional social networks such as Facebook and Twitter. We thus state that traditional assumptions on the network properties should be re-verified when developers devise social applications, such as the advertisement strategies, for mobile networks. We also conclude that the new research spectrum is highly demanded on network analysis and social technologies for the next-generation mobile-based social platform.

Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015
EditorsJian Pei, Jie Tang, Fabrizio Silvestri
PublisherAssociation for Computing Machinery, Inc
Pages266-269
Number of pages4
ISBN (Electronic)9781450338547
DOIs
Publication statusPublished - 2015 Aug 25
EventIEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015 - Paris, France
Duration: 2015 Aug 252015 Aug 28

Publication series

NameProceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015

Other

OtherIEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015
CountryFrance
CityParis
Period15-08-2515-08-28

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications

Cite this

Teng, S. Y., Yeh, M. Y., & Chuang, K. T. (2015). Toward understanding the mobile social properties: An analysis on instagram photo-sharing network. In J. Pei, J. Tang, & F. Silvestri (Eds.), Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015 (pp. 266-269). (Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015). Association for Computing Machinery, Inc. https://doi.org/10.1145/2808797.2809416