Group 14 Predicting Yelp Reviews using Internal Links - Link Prediction in Bipartite Networks
نویسندگان
چکیده
Social Networks may exist as bipartite graphs which evolve with new links being continuously added between the two disjoint set of nodes. To understand the dynamism of such bipartite networks, it is useful to predict links between existing nodes. Using the Yelp social network between users and businesses, we attempt to predict user reviews on businesses and the rating of predicted reviews. In order to accomplish this goal, we implement the algorithm of internal links in bipartite graphs. In this paper, we describe the method used and evaluate its effectiveness in predicting user reviews in the Yelp network. We conclude that this algorithm is not particularly suited to highly clustered social networks due to the chronological disparity in user reviews and relatively low number of reviews per user.
منابع مشابه
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