More on Spectral Analysis of Signed Networks by Guihai Yu, Hui Qu

“…Spectral graph theory plays a key role in analyzing the structure of social (signed) networks. In this paper we continue to study some properties of (normalized) Laplacian matrix of signed networks. …”
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Bipartite Synchronization of Heterogeneous Signed Networks with Distributed Impulsive Control by Guizhen Feng, Jian Ding, Jinde Cao, Qingqing Cao

“…This study investigates the bipartite synchronization of heterogeneous signed networks with distributed impulsive control. Leader-follower bipartite synchronization within a nonzero error bound is analyzed when the average impulsive interval is Ta<∞ or Ta=∞. …”
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Sign Inference for Dynamic Signed Networks via Dictionary Learning by Yi Cen, Rentao Gu, Yuefeng Ji

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Triadic balance and network evolution in predictive models of signed networks by Hsuan-Wei Lee, Pei-Chin Lu, Hsiang-Chuan Sha, Hsini Huang

“…To address the complexity of multi-layer networks derived from signed networks, we modify the temporal exponential random graph model framework. …”
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Consensus of Second-Order Multiagent Systems with Directed Signed Networks and Communication Delays by Huiqin Pei, Qiang Lai

“…Then, for structurally balanced and unbalanced networks, the consensus of second-order MASs with directed signed networks and local delays is proved via the Lyapunov method and Barbalat lemma. …”
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Keep your friends close, and your enemies closer: structural properties of negative relationships on Twitter by Jack Tacchi, Chiara Boldrini, Andrea Passarella, Marco Conti

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Novel Node Centrality-Based Efficient Empirical Robustness Assessment for Directed Network by Xiaolong Deng, Hao Ding, Yong Chen, Cai Chen, Tiejun Lv

“…Then, with the abundant experiments on the synthetic signed network and real-life networks derived from directed online social media and directed human mobile phone calling network, it has been proved that our ITG and IMpv based on directed social network robustness and node vulnerability assessment method is more accurate, efficient, and faster than several traditional centrality methods such as degree and betweenness. …”
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Sign Prediction on Unlabeled Social Networks Using Branch and Bound Optimized Transfer Learning by Weiwei Yuan, Jiali Pang, Donghai Guan, Yuan Tian, Abdullah Al-Dhelaan, Mohammed Al-Dhelaan

“…Sign prediction problem aims to predict the signs of links for signed networks. Currently it has been widely used in a variety of applications. …”
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