TY - GEN
T1 - Toward understanding the mobile social properties
T2 - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015
AU - Teng, Shan Yun
AU - Yeh, Mi Yen
AU - Chuang, Kun Ta
N1 - Publisher Copyright:
© 2015 ACM.
PY - 2015/8/25
Y1 - 2015/8/25
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84962500416&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962500416&partnerID=8YFLogxK
U2 - 10.1145/2808797.2809416
DO - 10.1145/2808797.2809416
M3 - Conference contribution
AN - SCOPUS:84962500416
T3 - Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015
SP - 266
EP - 269
BT - Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015
A2 - Pei, Jian
A2 - Tang, Jie
A2 - Silvestri, Fabrizio
PB - Association for Computing Machinery, Inc
Y2 - 25 August 2015 through 28 August 2015
ER -