Information diffusion in signed networks. [PDF]
PLoS ONE, 2019 Information diffusion has been widely discussed in various disciplines including sociology, economics, physics or computer science. In this paper, we generalize the linear threshold model in signed networks consisting of both positive and negative links.
Xiaochen He +3 more
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Enhancement of Cooperation and Reentrant Phase of Prisoner’s Dilemma Game on Signed Networks [PDF]
Entropy, 2022 We studied the prisoner’s dilemma game as applied to signed networks. In signed networks, there are two types of links: positive and negative. To establish a payoff matrix between players connected with a negative link, we multiplied the payoff matrix ...
Jae Han Choi, Sungmin Lee, Jae Woo Lee
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A Prospective Method for the Dynamic Transformation of Structural Balance in Fully Signed Networks [PDF]
EntropyStructural balance in fully signed networks, integrating both individual attributes and relationships, represents a critical challenge in social computing; however, its dynamic transformation remains underexplored.
Zhanyong Jiao +3 more
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Error Estimation of Signed Networks Based on Expectation-Maximization Algorithm [PDF]
EntropyData obtained from experiments and surveys in human social systems are inevitably influenced by systematic measurement errors, and network data are no exception.
Ruochen Zhang, Zijie Jia, Jiarui Fan
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The evolution of cooperation in signed networks under the impact of structural balance. [PDF]
PLoS ONE, 2018 Structural balance plays an important role in the dynamics of signed networks. Based on structural balance, we generalize the evolution of cooperation in signed networks. Here we develop a new simulation model to study the impact of structural balance on
Xiaochen He +3 more
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Network analysis reveals that total hip arthroplasty restores shared segmental motion before segmental differentiation [PDF]
Frontiers in Network PhysiologyUnilateral hip osteoarthritis (HOA) reshapes whole-body movement, and total hip arthroplasty (THA) restores function only partially—but conventional kinematic analyses fall short of characterizing how the body’s distributed coordination reorganizes ...
Madhur Mangalam +3 more
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Inferring signed social networks from contact patterns [PDF]
Journal of Physics: ComplexitySocial networks are typically inferred from indirect observations, such as proximity data; yet, most methods cannot distinguish between absent relationships and actual negative ties, as both can result in few or no interactions.
Dávid Ferenczi +2 more
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Political Signed Temporal Networks: A Deep Learning Approach
Axioms, 2022 The evolution analysis of networks whose links are either positive or negative, representing opposite relationships such as friendship and enmity, has been revealed to be particularly useful in sociological contexts.
Alejandro Chinea Manrique de Lara +1 more
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Learning Weight Signed Network Embedding with Graph Neural Networks
Data Science and Engineering, 2023 Network embedding aims to map nodes in a network to low-dimensional vector representations. Graph neural networks (GNNs) have received much attention and have achieved state-of-the-art performance in learning node representation.
Zekun Lu +4 more
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Model-Free Adaptive Iterative Learning Bipartite Containment Control for Multi-Agent Systems
Sensors, 2022 This paper studies the bipartite containment tracking problem for a class of nonlinear multi-agent systems (MASs), where the interactions among agents can be both cooperative or antagonistic.
Shangyu Sang, Ruikun Zhang, Xue Lin
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