In recent years, tensor decomposition has gained increasing interest in the field of link prediction, which aims to estimate likelihood new connections forming between nodes a network. This study highlights potential Canonical Polyadic enhancing prediction complex networks. It suggests effective algorithms that not only take into account structural characteristics network but also its temporal ...

L entities using existing web technologies, which useful data to provide when a URI is looked up, how to model data, and what are suitable and best ways to interlink and cross-reference data sets on the web Heath and Bizer (2011). LOD has seen a tremendous growth in the last years. The resulting distributed graph of interlinked entities on the web is commonly referred to as the LOD cloud (see F...

This document describes two temporal link prediction benchmarks that can be downloaded at [10]. Data, code for evaluation and code for several predictors are included in the packages. Section 1 describes the first benchmark, which is link prediction in coauthorship social networks and is a replication of the experiments in [6]. Performances of several predictors are also presented. Section 2 de...

With over 300 million active users, Twitter is among the largest online news and social networking services in existence today. Open access to information on Twitter makes it a valuable source of data for research on social interactions, sentiment analysis, content diffusion, link prediction, and the dynamics behind human collective behaviour in general. Here we use Twitter data to construct co...

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 algorit...

Link prediction is the problem of detecting missing links or predicting future link formation in a network. Application of link prediction to social media, such as Twitter and Facebook, is useful both for developing novel services and for sociological analyses. While most existing research on link prediction uses only the social network topology for the prediction, in social media, records of u...