A Framework for Identifying Influential People by Analyzing Social Media Data

Ahsan, Md. Sabbir Al; Arefin, Mohammad Shamsul; Kayes, A. S. M.; Hammoudeh, Mohammad; Aldabbas, Omar

doi:10.3390/app10248773

Open AccessArticle

A Framework for Identifying Influential People by Analyzing Social Media Data

by

Md. Sabbir Al Ahsan

¹

,

Mohammad Shamsul Arefin

^1,*

,

A. S. M. Kayes

^2,*

,

Mohammad Hammoudeh

³

and

Omar Aldabbas

⁴

¹

Department of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chittagong 4349, Bangladesh

²

Department of Computer Science and Information Technology, La Trobe University, Melbourne, Victoria 3086, Australia

³

Department of Computing and Mathematics, Manchester Metropolitan University, Manchester M15 6BH, UK

⁴

Faculty of Engineering Technology, Al-Balqa’ Applied University, Amman 15008, Jordan

^*

Authors to whom correspondence should be addressed.

Appl. Sci. 2020, 10(24), 8773; https://doi.org/10.3390/app10248773

Submission received: 14 October 2020 / Revised: 26 November 2020 / Accepted: 2 December 2020 / Published: 8 December 2020

(This article belongs to the Section Computing and Artificial Intelligence)

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Abstract

In this paper, we introduce a new framework for identifying the most influential people from social sensor networks. Selecting influential people from social networks is a complicated task as it depends on many metrics like the network of friends, followers, reactions, comments, shares, etc. (e.g., friends-of-a-friend, friends-of-a-friend-of-a-friend). Data on social media are increasing day-by-day at an enormous rate. It is also a challenge to store and process these data. Towards this goal, we use Hadoop to store data and Apache Spark for the fast computation of the data. To select influential people, we apply the mechanisms of skyline query and top-k query. To the best of our knowledge, this is the first work to apply the Apache Spark framework to identify influential people on social sensor network, such as online social media. Our proposed mechanism can find influential people very quickly and efficiently on the data pattern of Facebook.

Keywords: social sensor network; influential person identification; Hadoop; Apache Spark; skyline query; top-k query

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MDPI and ACS Style

Ahsan, M.S.A.; Arefin, M.S.; Kayes, A.S.M.; Hammoudeh, M.; Aldabbas, O. A Framework for Identifying Influential People by Analyzing Social Media Data. Appl. Sci. 2020, 10, 8773. https://doi.org/10.3390/app10248773

AMA Style

Ahsan MSA, Arefin MS, Kayes ASM, Hammoudeh M, Aldabbas O. A Framework for Identifying Influential People by Analyzing Social Media Data. Applied Sciences. 2020; 10(24):8773. https://doi.org/10.3390/app10248773

Chicago/Turabian Style

Ahsan, Md. Sabbir Al, Mohammad Shamsul Arefin, A. S. M. Kayes, Mohammad Hammoudeh, and Omar Aldabbas. 2020. "A Framework for Identifying Influential People by Analyzing Social Media Data" Applied Sciences 10, no. 24: 8773. https://doi.org/10.3390/app10248773

APA Style

Ahsan, M. S. A., Arefin, M. S., Kayes, A. S. M., Hammoudeh, M., & Aldabbas, O. (2020). A Framework for Identifying Influential People by Analyzing Social Media Data. Applied Sciences, 10(24), 8773. https://doi.org/10.3390/app10248773

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A Framework for Identifying Influential People by Analyzing Social Media Data

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