CS- and GA-based hybrid evolutionary sampling algorithm for large-scale social networks

Author:

Ebadi Jokandan Seyed Mohsen,Bayat Peyman,Farrokhbakht Foumani Mehdi

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Reference62 articles.

1. Yuan J, Zhang R, Tang J, Hu R, Wang Z, Li H (2019) Efficient and effective influence maximization in large-scale social networks via two frameworks. Physica A Stat Mech Appl 526:120966

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3. Facebook Q4 2018 Results. https://s21.q4cdn.com/399680738/files/doc_financials/2018/Q4/Q4-2018-Earnings-Presentation.pdf. Accessed 13 Oct 2021

4. Sina Weibo: Q4 and Annual Financial Report. https://weibocorporation.gcs-web.com/news-releases/news-release-details/weibo-reports-fourth-quarter-and-fiscal-year-2019-unaudited. Accessed 13 Oct 2021

5. Wang T, Chen Y, Zhang Z, Xu T, Jin L, Hui P, Li X (2011) Understanding graph sampling algorithms for social network analysis. In: 2011 31st international conference on distributed computing systems workshops, pp 123–128. IEEE.

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