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

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• Lee S Tanveer J Rahmani A Alinejad-Rokny H Khoshvaght P Zare G Malekpour Alamdari P Hosseinzadeh M (2025) SFGCN: Synergetic fusion-based graph convolutional networks approach for link prediction in social networks Information Fusion 10.1016/j.inffus.2024.102684 114 (102684) Online publication date: Feb-2025 https://doi.org/10.1016/j.inffus.2024.102684
• Kumar Meena S Sheshar Singh S Singh K (2024) Cuckoo Search Optimization-Based Influence Maximization in Dynamic Social Networks ACM Transactions on the Web 10.1145/3690644 Online publication date: 28-Aug-2024 https://dl.acm.org/doi/10.1145/3690644

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Information systems

Information systems applications

Collaborative and social computing systems and tools

Social networking sites

World Wide Web

Online advertising

Social advertising

Web applications

Social networks

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Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland

University of Bologna, Italy

Association for Computing Machinery

New York, NY, United States

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• Information diffusion
• influence maximization
• link prediction
• community detection
• social network analysis

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The role of social network analysis in social media research.

1. Introduction

2. the significance of this study, 3. works related to social media usage, 4. the related works of social network analysis, 5. possible hypotheses regarding structural features of social media usage, 6. conclusions, author contributions, conflicts of interest.

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Nie, Z.; Waheed, M.; Kasimon, D.; Wan Abas, W.A.B. The Role of Social Network Analysis in Social Media Research. Appl. Sci. 2023 , 13 , 9486. https://doi.org/10.3390/app13179486

Nie Z, Waheed M, Kasimon D, Wan Abas WAB. The Role of Social Network Analysis in Social Media Research. Applied Sciences . 2023; 13(17):9486. https://doi.org/10.3390/app13179486

Nie, Zhou, Moniza Waheed, Diyana Kasimon, and Wan Anita Binti Wan Abas. 2023. "The Role of Social Network Analysis in Social Media Research" Applied Sciences 13, no. 17: 9486. https://doi.org/10.3390/app13179486

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• A-Z Publications

Annual Review of Organizational Psychology and Organizational Behavior

Volume 9, 2022, review article, new developments in social network analysis.

• Daniel J. Brass 1
• View Affiliations Hide Affiliations Affiliations: LINKS Center for Social Network Analysis, Department of Management, Gatton College of Business and Economics, University of Kentucky, Lexington, Kentucky, USA; email: [email protected]
• Vol. 9:225-246 (Volume publication date January 2022) https://doi.org/10.1146/annurev-orgpsych-012420-090628
• First published as a Review in Advance on October 26, 2021
• Copyright © 2022 by Annual Reviews. All rights reserved

This review of social network analysis focuses on identifying recent trends in interpersonal social networks research in organizations, and generating new research directions, with an emphasis on conceptual foundations. It is organized around two broad social network topics: structural holes and brokerage and the nature of ties. New research directions include adding affect, behavior, and cognition to the traditional structural analysis of social networks, adopting an alter-centric perspective including a relational approach to ego and alters, moving beyond the triad in structural hole and brokerage research to consider alters as brokers, expanding the nature of ties to include negative, multiplex/dissonant, and dormant ties, and exploring the value of redundant ties. The challenge is to answer the question “What's next in social network analysis?”

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Social network analysis: developments, advances, and prospects

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• Published: 06 October 2010
• Volume 1 , pages 21–26, ( 2011 )

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This paper reviews the development of social network analysis and examines its major areas of application in sociology. Current developments, including those from outside the social sciences, are examined and their prospects for advances in substantive knowledge are considered. A concluding section looks at the implications of data mining techniques and highlights the need for interdisciplinary cooperation if significant work is to ensue.

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Scott, J. Social network analysis: developments, advances, and prospects. SOCNET 1 , 21–26 (2011). https://doi.org/10.1007/s13278-010-0012-6

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Received : 14 July 2010

Accepted : 02 August 2010

Published : 06 October 2010

Issue Date : January 2011

DOI : https://doi.org/10.1007/s13278-010-0012-6

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