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However, in social network analysis (SNA), designing fairness-aware methods for various research problems by considering structural bias and inequalities of large-scale social networks has not received much attention. In this work, we highlight how the structural bias of social networks impacts the fairness of different SNA methods. We further discuss fairness aspects that should be considered while proposing network structure-based solutions for different SNA problems, such as link prediction, influence maximization, centrality ranking, and community detection. This survey-cum-vision clearly highlights that very few works have considered fairness and bias while proposing solutions; even these works are mainly focused on some research topics, such as link prediction, influence maximization, and PageRank. However, fairness has not yet been addressed for other research topics, such as influence blocking and community detection. We review the state of the art for different research topics in SNA, including the considered fairness constraints, their limitations, and our vision. This survey also covers evaluation metrics, available datasets and synthetic network generating models used in such studies. Finally, we highlight various open research directions that require researchers\u2019 attention to bridge the gap between fairness and SNA.<\/jats:p>","DOI":"10.1145\/3653711","type":"journal-article","created":{"date-parts":[[2024,3,27]],"date-time":"2024-03-27T07:55:39Z","timestamp":1711526139000},"page":"1-45","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":39,"title":["FairSNA: Algorithmic Fairness in Social Network Analysis"],"prefix":"10.1145","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7151-6309","authenticated-orcid":false,"given":"Akrati","family":"Saxena","sequence":"first","affiliation":[{"name":"Leiden Institute of Advanced Computer Science, Leiden University, Leiden, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2111-6769","authenticated-orcid":false,"given":"George","family":"Fletcher","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology, Eindhoven, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4955-0743","authenticated-orcid":false,"given":"Mykola","family":"Pechenizkiy","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology, Eindhoven, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,4,26]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445913"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.socnet.2005.01.007"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-8733(03)00009-1"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1145\/1134271.1134277"},{"key":"e_1_3_2_6_2","volume-title":"CMU-CS-09-173 Technical Report","author":"Akoglu Leman","year":"2009","unstructured":"Leman Akoglu, Mary McGlohon, and Christos Faloutsos. 2009. 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