Results 11 to 20 of about 3,270,134 (279)
Link Prediction Based on Subgraph Evolution in Dynamic Social Networks [PDF]
We propose a new method for characterizing the dynamics of complex networks with its application to the link prediction problem. Our approach is based on the discovery of network subgraphs (in this study: triads of nodes) and measuring their transitions ...
Musial, Katarzyna +2 more
core +9 more sources
Probabilistic Approach to Structural Change Prediction in Evolving Social Networks [PDF]
, 2012 We propose a predictive model of structural changes in elementary subgraphs of social network based on Mixture of Markov Chains. The model is trained and verified on a dataset from a large corporate social network analyzed in short, one day-long time
Musial, Katarzyna +4 more
core +9 more sources
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
doaj +1 more source
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 ...
openaire +4 more sources
Classification using link prediction [PDF]
Neurocomputing, 2019 Link prediction in a graph is the problem of detecting the missing links that would be formed in the near future. Using a graph representation of the data, we can convert the problem of classification to the problem of link prediction which aims at finding the missing links between the unlabeled data (unlabeled nodes) and their classes.
Seyed Amin Fadaee, Maryam Amir Haeri
openaire +2 more sources
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
doaj +1 more source
Evaluating link prediction methods [PDF]
Knowledge and Information Systems, 2014 Link prediction is a popular research area with important applications in a variety of disciplines, including biology, social science, security, and medicine. The fundamental requirement of link prediction is the accurate and effective prediction of new links in networks.
Yang Yang 0008 +2 more
openaire +3 more sources
Causal lifting and link prediction
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2023 Existing causal models for link prediction assume an underlying set of inherent node factors—an innate characteristic defined at the node’s birth—that governs the causal evolution of links in the graph. In some causal tasks, however, link formation is path-dependent : the outcome of link ...
Leonardo Cotta +3 more
openaire +2 more sources
irfnrifqi/Food-Link-Prediction: Link Prediciton
, 2021 In 2020, Islam was recorded as the second biggest religion in the world with 1,9 billion followers. In Indonesia, the Muslim population reaches 263 million people, or 87,2% of the total population.
irfnrifqi
core +1 more source
Link Prediction in Directed Networks Utilizing the Role of Reciprocal Links
IEEE Access, 2020 Link prediction in directed networks has always been a hot topic in many fields including network science, information system and data mining. Intuitively, once links are endowed with certain orientations, their reciprocate nature can potentially provide
Jinsong Li +5 more
doaj +1 more source