چکیده مقاله
Today, social networks are very popular all over the world due to the possibility of communication between different people, and their use has become more widespread day by day One of the main problems in analyzing these networks is predicting relationships between people Therefore, link prediction in social networks has been considered byresearchers In this article, we have tried to briefly review the methods proposed in the field of link prediction For this purpose, while studying the types of social networks, itcategorizes the similarity criteria between the entities in the social network, in order to facilitate the selection of the most appropriate method of link prediction by recognizing thesecriteria According to studies, non supervisory methods are more accurate than supervised methods Features used to determine the similarity between entities extracted from anetwork graph include local, semi local, and global features, where local features have the advantage of speed and glob al features have the advantage of accuracy Semi local features are also provided to balance the accuracy and complexity of computation
کلیدواژهها
نویسندگان
Sara Khojasteh
Department Of Computer Engineering Apadana Institute Of Higher Education Shiraz, Iran
شیوه ارجاع
Khojasteh, Sara,1399,Investigating the criteria for the similarity of nodes in social networks and link prediction methods,6th International Conference on Innovation and Research in Engineering Sciences
ارائهشده در
مجموعه مقالات ششمین کنفرانس بین المللی نوآوری و تحقیق در علوم مهندسی10 تیر 1399