Semantic analysis on social networks: A survey,International Journal of Communication Systems

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Semantic analysis on social networks: A survey
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-04-16 , DOI: 10.1002/dac.4424
Sumeyye Bayrakdar ₁ , Ibrahim Yucedag ₁ , Mehmet Simsek ₁ , Ibrahim Alper Dogru ₂

Affiliation

As social networks are getting more and more popular day by day, large numbers of users becoming constantly active social network users. In this way, there is a huge amount of data produced by users in social networks. While social networking sites and dynamic applications of these sites are actively used by people, social network analysis is also receiving an increasing interest. Moreover, semantic understanding of text, image, and video shared in a social network has been a significant topic in the network analysis research. To the best of the author's knowledge, there has not been any comprehensive survey of social networks, including semantic analysis. In this survey, we have reviewed over 200 contributions in the field, most of which appeared in recent years. This paper not only aims to provide a comprehensive survey of the research and application of social network analysis based on semantic analysis but also summarizes the state‐of‐the‐art techniques for analyzing social media data. First of all, in this paper, social networks, basic concepts, and components related to social network analysis were examined. Second, semantic analysis methods for text, image, and video in social networks are explained, and various studies about these topics are examined in the literature. Then, the emerging approaches in social network analysis research, especially in semantic social network analysis, are discussed. Finally, the trending topics and applications for future directions of the research are emphasized; the information on what kind of studies may be realized in this area is given.

中文翻译：

社交网络的语义分析：一项调查

随着社交网络越来越流行，大量用户成为持续活跃的社交网络用户。这样，社交网络中的用户会产生大量数据。当人们积极使用社交网站和这些网站的动态应用程序时，社交网络分析也越来越引起人们的兴趣。此外，对社交网络中共享的文本，图像和视频的语义理解已经成为网络分析研究中的重要课题。据作者所知，还没有对社交网络进行任何全面的调查，包括语义分析。在本次调查中，我们审查了该领域的200多项贡献，其中大多数是近年来出现的。本文不仅旨在对基于语义分析的社交网络分析的研究和应用提供一个全面的综述，而且总结了用于分析社交媒体数据的最新技术。首先，本文研究了社交网络，与社交网络分析相关的基本概念和组件。其次，解释了社交网络中文本，图像和视频的语义分析方法，并在文献中对这些主题进行了各种研究。然后，讨论了社交网络分析研究中出现的新方法，特别是语义社交网络分析中的新兴方法。最后，重点介绍了趋势主题和对未来研究方向的应用。给出了在该领域可以进行何种研究的信息。

更新日期：2020-04-16

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