منابع مشابه
A Holistic Approach for Link Prediction in Multiplex Networks
Networks extracted from social media platforms frequently include multiple types of links that dynamically change over time; these links can be used to represent dyadic interactions such as economic transactions, communications, and shared activities. Organizing this data into a dynamic multiplex network, where each layer is composed of a single edge type linking the same underlying vertices, c...
متن کاملAn efficient method for link prediction in weighted multiplex networks
Background A great variety of artificial and natural systems can be abstracted into a set of entities interacting with each other. Such abstractions can very well represent the underlying dynamics of the system when modeled as the network of vertices coupled by edges. Prediction of dynamics in these structures based on topological attribute or dependency relations is an important task. Link Pre...
متن کاملLINK PREDICTION IN SOCIAL NETWORKS Link Prediction
Link prediction is an important task for analying social networks which also has applications in other domains like, information retrieval, bioinformatics and e-commerce. There exist a variety of techniques for link prediction, ranging from feature-based classification and kernelbased method to matrix factorization and probabilistic graphical models. These methods differ from each other with re...
متن کاملpresenting a new method for link prediction in social networks
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...
متن کاملLink prediction in citation networks
In this article, we build models to predict the existence of citations among papers by formulating link prediction for 5 large-scale datasets of citation networks. The supervised machine-learning model is applied with 11 features. As a result, our learner performs very well, with the F1 values of between 0.74 and 0.82. Three features in particular, link-based Jaccard coefficient , difference in...
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ژورنال
عنوان ژورنال: Networks and Heterogeneous Media
سال: 2015
ISSN: 1556-1801
DOI: 10.3934/nhm.2015.10.17