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Social Network Analysis: A Survey on Process, Tools, and Application

Published: 10 April 2024 Publication History
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  • Abstract

    Due to the explosive rise of online social networks, social network analysis (SNA) has emerged as a significant academic field in recent years. Understanding and examining social relationships in networks through network analysis opens up numerous research avenues in sociology, literature, media, biology, computer science, sports, and more. Therefore, certain studies review and discuss some research verticals of SNA, such as viral marketing, information diffusion, clustering, link prediction, and so on, to provide background knowledge and understanding. These studies still lack the SNA process, tools, and practical aspects in multidisciplinary applications. Inspired by these facts, we have discussed the background, process, tools, and application of SNA. First, we have presented a detailed description of the SNA process. Thereafter, we presented a comparative analysis of SNA tools and languages. Finally, we have discussed the various applications corresponding to SNA research verticals.

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    cover image ACM Computing Surveys
    ACM Computing Surveys  Volume 56, Issue 8
    August 2024
    963 pages
    ISSN:0360-0300
    EISSN:1557-7341
    DOI:10.1145/3613627
    • Editors:
    • David Atienza,
    • Michela Milano
    Issue’s Table of Contents

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    New York, NY, United States

    Publication History

    Published: 10 April 2024
    Online AM: 17 February 2024
    Accepted: 31 January 2024
    Revised: 30 December 2023
    Received: 01 November 2022
    Published in CSUR Volume 56, Issue 8

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    1. Information diffusion
    2. influence maximization
    3. link prediction
    4. community detection
    5. social network analysis

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