Results 21 to 30 of about 84,342 (259)
Learning Embedding for Signed Network in Social Media with Hierarchical Graph Pooling
Applied Sciences, 2022 Signed network embedding concentrates on learning fixed-length representations for nodes in signed networks with positive and negative links, which contributes to many downstream tasks in social media, such as link prediction.
Jiawang Chen, Zhenqiang Wu
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Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL
IEEE Access, 2019 There has been an increasing interest in detecting community in signed networks because signed networks contain more information (both positive and negative edges) than unsigned networks (only positive edges).
Shuqiu Ping +5 more
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Tracking the Main States of Dynamic Functional Connectivity in Resting State
Frontiers in Neuroscience, 2019 Dynamical changes have recently been tracked in functional connectivity (FC) calculated from resting-state functional magnetic resonance imaging (R-fMRI), when a person is conscious but not carrying out a directed task during scanning.
Qunjie Zhou +7 more
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Spreading to Localized Targets in Signed Social Networks
Frontiers in Physics, 2022 Inspired by lots of applications like viral marketing of products and transmitting information in a network, ranking the spreading ability of nodes in the network has been widely studied.
Jiaqi Song, Zhidan Feng, Xingqin Qi
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Balance in Signed Bipartite Networks [PDF]
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019 A large portion of today's big data can be represented as networks. However, not all networks are the same, and in fact, for many that have additional complexities to their structure, traditional general network analysis methods are no longer applicable.
Tyler Derr +3 more
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Latency-Bounded Target Set Selection in Signed Networks
Algorithms, 2020 It is well-documented that social networks play a considerable role in information spreading. The dynamic processes governing the diffusion of information have been studied in many fields, including epidemiology, sociology, economics, and computer ...
Miriam Di Ianni, Giovanna Varricchio
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Polarity related influence maximization in signed social networks. [PDF]
PLoS ONE, 2014 Influence maximization in social networks has been widely studied motivated by applications like spread of ideas or innovations in a network and viral marketing of products.
Dong Li +5 more
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Opinion Formation over Signed Gossip Networks
SICE Journal of Control, Measurement, and System Integration, 2017 Opinion formation is investigated over signed gossip networks, where asymptotic and transient opinion behaviors are analyzed in detail. The network is modeled by a connected signed graph, where each edge of the graph has positive or negative weight, i.e.,
Linh Thi Hoai Nguyen +4 more
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Degree of an edge and Platt Number in signed networks
Ratio Mathematica, 2023 Positive labelled edges play a vital role in network analysis.The degree of edges in signed graphs is introduced by giving importance to positive edges incident on the end vertices of that edge. The concept of Platt number of a graph, which is the sum of
Diviya K D, Anjaly Kishore
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Polarization and multiscale structural balance in signed networks
Communications Physics, 2023 Polarization, or a division into mutually hostile groups, is a common feature of social systems. It is studied in Structural Balance Theory in terms of semicycles in signed networks.
Szymon Talaga +3 more
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