A survey of link prediction in social networks
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 …
in other domains like, information retrieval, bioinformatics and e-commerce. There exist a …
Link prediction in weighted social networks using learning automata
B Moradabadi, MR Meybodi - Engineering Applications of Artificial …, 2018 - Elsevier
Link prediction is an important task in Social Network Analysis. The present paper
addresses predicting the emergence of future relationships among nodes in a social …
addresses predicting the emergence of future relationships among nodes in a social …
Automatic feature selection for supervised learning in link prediction applications: a comparative study
A Pecli, MC Cavalcanti, R Goldschmidt - Knowledge and Information …, 2018 - Springer
For the last years, a considerable amount of attention has been devoted to the research
about the link prediction (LP) problem in complex networks. This problem tries to predict the …
about the link prediction (LP) problem in complex networks. This problem tries to predict the …
Dothash: Estimating set similarity metrics for link prediction and document deduplication
Metrics for set similarity are a core aspect of several data mining tasks. To remove duplicate
results in a Web search, for example, a common approach looks at the Jaccard index …
results in a Web search, for example, a common approach looks at the Jaccard index …
Predicting protein function by multi-label correlated semi-supervised learning
JQ Jiang, LJ McQuay - IEEE/ACM Transactions on …, 2011 - ieeexplore.ieee.org
Assigning biological functions to uncharacterized proteins is a fundamental problem in the
postgenomic era. The increasing availability of large amounts of data on protein-protein …
postgenomic era. The increasing availability of large amounts of data on protein-protein …
A novel time series link prediction method: Learning automata approach
B Moradabadi, MR Meybodi - Physica A: Statistical Mechanics and its …, 2017 - Elsevier
Link prediction is a main social network challenge that uses the network structure to predict
future links. The common link prediction approaches to predict hidden links use a static …
future links. The common link prediction approaches to predict hidden links use a static …
Link prediction in stochastic social networks: Learning automata approach
B Moradabadi, MR Meybodi - Journal of computational science, 2018 - Elsevier
Link prediction is a main social network challenge that uses the network structure to predict
future links. The common link prediction approaches to predict hidden links use a static …
future links. The common link prediction approaches to predict hidden links use a static …
Joint node-edge network embedding for link prediction
In this paper, we consider new formulation of graph embedding algorithm, while learning
node and edge representation under common constraints. We evaluate our approach on …
node and edge representation under common constraints. We evaluate our approach on …
Link prediction in fuzzy social networks using distributed learning automata
B Moradabadi, MR Meybodi - Applied Intelligence, 2017 - Springer
Link prediction is an area of social network research that tries to predict future links using a
social network structure. This paper proposes a novel link prediction method (FLP-DLA) that …
social network structure. This paper proposes a novel link prediction method (FLP-DLA) that …
Link prediction based on time-varied weight in co-authorship network
S Huang, Y Tang, F Tang, J Li - Proceedings of the 2014 IEEE …, 2014 - ieeexplore.ieee.org
Social networks are very dynamic objects, since new edges and vertices are added to the
graph over the time. Link prediction is an important task in social network analysis and is …
graph over the time. Link prediction is an important task in social network analysis and is …