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Keypour, Azam, Barari, Morteza, Shirazi, Hossein. (1393). Presenting a New Method for Link Prediction in Social Networks. , 6(3), 475-486. doi: 10.22059/jitm.2014.50936
Azam Keypour; Morteza Barari; Hossein Shirazi. "Presenting a New Method for Link Prediction in Social Networks". , 6, 3, 1393, 475-486. doi: 10.22059/jitm.2014.50936
Keypour, Azam, Barari, Morteza, Shirazi, Hossein. (1393). 'Presenting a New Method for Link Prediction in Social Networks', , 6(3), pp. 475-486. doi: 10.22059/jitm.2014.50936
Keypour, Azam, Barari, Morteza, Shirazi, Hossein. Presenting a New Method for Link Prediction in Social Networks. , 1393; 6(3): 475-486. doi: 10.22059/jitm.2014.50936

Presenting a New Method for Link Prediction in Social Networks

Journal of Information Technology Management
مقاله 7، دوره 6، شماره 3، دی 2014، صفحه 475-486    اصل مقاله (277.63 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jitm.2014.50936
نویسندگان
Azam Keypour* ؛ Morteza Barari؛ Hossein Shirazi
چکیده
Today, online social networks are very popular due to the possibility of creating relationships between people all over the world. These social networks with possibilities such as friend recommendation generally use local features derived from social graph structure. For friend recommendation, there are different algorithms with local and global approaches. In this paper, we proposed an algorithm with local approach that has a suitable performance compared to other algorithms. In addition, it has an acceptable speed, because of its being local. This new feature was examined on two large social networks: Epinions and Facebook. The research showed that this algorithm can present good predictions and acceptable recommendations.
کلیدواژه‌ها
Link Prediction؛ Recommending Systems؛ Social network
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