Analyzing Link Prediction Techniques in Social Networks

In recent years, the advent of social media platforms, such as Facebook, Twitter, and Weibo, has drawn the attention of researchers to the dynamic landscape of social networks. Among the myriad of intriguing issues within this domain, link prediction stands out as one of the most captivating. This paper places a significant emphasis on the prevailing research on link prediction in social networks. Over the past decade, a multitude of studies have delved into the intricacies of link prediction within social networks. The primary objective of this paper is to offer a comprehensive and in-depth review, analysis, and discussion of link prediction in the context of social networks. We aim to summarize the prevailing challenges associated with link prediction, the diverse range of methods employed, and provide a comprehensive survey of the techniques currently in use. Furthermore, this paper explores the typical applications of link prediction within the realm of social networks, shedding light on its significance and real-world implications.