Results 1 to 10 of about 315,334 (257)
Multimorbidity prediction using link prediction [PDF]
Scientific Reports, 2021 Multimorbidity, frequently associated with aging, can be operationally defined as the presence of two or more chronic conditions. Predicting the likelihood of a patient with multimorbidity to develop a further particular disease in the future is one of ...
Furqan Aziz +7 more
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Link prediction on Twitter. [PDF]
PLoS ONE, 2017 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 ...
Sanda Martinčić-Ipšić +2 more
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Taxonomy of Link Prediction for Social Network Analysis: A Review
IEEE Access, 2020 Link prediction is a technique to forecast future new or missing relationships between entities based on the current network information. Graph theory and network science are theoretical concepts that have influenced the link prediction research ...
Herman Yuliansyah +2 more
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Structural Importance-based Link Prediction Techniques in Social Network [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2021 Link prediction in social network gaining high attention of researchers nowadays due to the rush of users towards social network. Link prediction is known as the prediction of missing or unobserved link, i.e., new interaction is going ...
Abdul Samad +2 more
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Complex Network Link Prediction Method Based on Topology Similarity and XGBoost [PDF]
Jisuanji kexue, 2021 In order to improve the performance of complex network link prediction,topology similarity and XGBoost algorithm are used to complete link prediction in complex network.According to the topological structure of complex network,the adjacency matrix is ...
GONG Zhui-fei, WEI Chuan-jia
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Deep Link-Prediction Based on the Local Structure of Bipartite Networks
Entropy, 2022 Link prediction based on bipartite networks can not only mine hidden relationships between different types of nodes, but also reveal the inherent law of network evolution. Existing bipartite network link prediction is mainly based on the global structure
Hehe Lv +3 more
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Pairwise link prediction [PDF]
Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2019 Link prediction is a common problem in network science that transects many disciplines. The goal is to forecast the appearance of new links or to find links missing in the network. Typical methods for link prediction use the topology of the network to predict the most likely future or missing connections between a pair of nodes.
Huda Nassar +2 more
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Missing Link Prediction Using Non-Overlapped Features and Multiple Sources of Social Networks
Information, 2021 The current methods for missing link prediction in social networks focus on using data from overlapping users from two social network sources to recommend links between unconnected users. To improve prediction of the missing link, this paper presents the
Pokpong Songmuang +2 more
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Retweets as a Predictor of Relationships among Users on Social Media. [PDF]
PLoS ONE, 2017 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 ...
Sho Tsugawa, Kosuke Kito
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Progresses and challenges in link prediction [PDF]
iScience, 2021 Link prediction is a paradigmatic problem in network science, which aims at estimating the existence likelihoods of nonobserved links, based on known topology. After a brief introduction of the standard problem and metrics of link prediction, this Perspective will summarize representative progresses about local similarity indices, link predictability ...
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