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JACIII Vol.26 No.3 pp. 289-298
doi: 10.20965/jaciii.2022.p0289
(2022)

Paper:

Nodal Degree Correlations Around Twitter’s Influencers Revealed by Two-Hop Followers

Chisa Takano* and Masaki Aida**

*Graduate School of Information Sciences, Hiroshima City University
3-4-1 Ozuka-Higashi, Asa-Minami-ku, Hiroshima 731-3194, Japan

**Graduate School of System Design, Tokyo Metropolitan University
6-6 Asahigaoka, Hino-shi, Tokyo 191-0065, Japan

Received:
October 13, 2021
Accepted:
February 9, 2022
Published:
May 20, 2022
Keywords:
Twitter, nodal degree distribution, degree correlation
Abstract
Nodal Degree Correlations Around Twitter’s Influencers Revealed by Two-Hop Followers

Nodal degree correlations around Twitter's influencers

In recent years, with the spread of social networking services (SNSs), communication has been facilitated among people regardless of age, occupation, and geographical locations. The SNSs are used not only for directly developing friendships, but also as a tool for spreading friendships, allowing users to exchange information in real-time with people having common interests. Twitter, in particular, is a service with a large number of users and a considerable influence on information diffusion. In this study, the characteristics of the follower networks centered on various Twitter influencers are analyzed, and the common characteristics that do not depend on individual influencers are clarified for the world-famous influencers (US and international). Furthermore, after theoretically analyzing the relationship between the characteristics of the nodal degree distribution and the degree correlation, the degree dependence of the correlation coefficient expressing the degree correlation is clarified using numerical experiments.

Cite this article as:
Chisa Takano and Masaki Aida, “Nodal Degree Correlations Around Twitter’s Influencers Revealed by Two-Hop Followers,” J. Adv. Comput. Intell. Intell. Inform., Vol.26, No.3, pp. 289-298, 2022.
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Last updated on Jul. 01, 2022