Measurement and Analysis of the Swarm Social Network With Tens of Millions of Nodes | Zendy

Yang Chen | Zendy; Jiyao Hu | Zendy; Hao Zhao | Zendy; Yu Xiao | Zendy; Pan Hui | Zendy

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Measurement and Analysis of the Swarm Social Network With Tens of Millions of Nodes

Author(s) -

Yang Chen,

Jiyao Hu,

Hao Zhao,

Yu Xiao,

Pan Hui

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2789915

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Social graphs have been widely used for representing the relationship among users in online social networks (OSNs). As crawling an entire OSN is resource- and time-consuming, most of the existing works only pick a sampled subgraph for study. However, this may introduce serious inaccuracy into the analytic results, not to mention that some important metrics cannot even be calculated. In this paper, we crawl the entire social network of Swarm, a leading mobile social app with more than 60 million users, using a distributed approach. Based on the crawled massive user data, we conduct a data-driven study to get a comprehensive picture of the whole Swarm social network. This paper provides a deep analysis of social interactions between Swarm users, and reveals the relationship between social connectivity and check-in activities.

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