Results 1 to 10 of about 1,294,805 (273)

Link prediction on Twitter. [PDF]

open access: yesPLoS 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
doaj   +7 more sources

Multimorbidity prediction using link prediction [PDF]

open access: yesScientific 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
doaj   +3 more sources

Taxonomy of Link Prediction for Social Network Analysis: A Review

open access: yesIEEE 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
doaj   +3 more sources

Link prediction in social networks: the state-of-the-art

open access: yesScience China Information Sciences, 2014
In social networks, link prediction predicts missing links in current networks and new or dissolution links in future networks, is important for mining and analyzing the evolution of social networks.
Peng Wang, Baowen Xu, Yurong Wu
exaly   +3 more sources

Structural Importance-based Link Prediction Techniques in Social Network [PDF]

open access: yesEAI 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
doaj   +1 more source

Complex Network Link Prediction Method Based on Topology Similarity and XGBoost [PDF]

open access: yesJisuanji 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
doaj   +1 more source

Deep Link-Prediction Based on the Local Structure of Bipartite Networks

open access: yesEntropy, 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
doaj   +1 more source

Retweets as a Predictor of Relationships among Users on Social Media. [PDF]

open access: yesPLoS 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
doaj   +1 more source

Missing Link Prediction Using Non-Overlapped Features and Multiple Sources of Social Networks

open access: yesInformation, 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
doaj   +1 more source

Review on Learning and Extracting Graph Features for Link Prediction

open access: yesMachine Learning and Knowledge Extraction, 2020
Link prediction in complex networks has attracted considerable attention from interdisciplinary research communities, due to its ubiquitous applications in biological networks, social networks, transportation networks, telecommunication networks, and ...
Ece C. Mutlu   +3 more
doaj   +1 more source

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