Results 181 to 190 of about 7,871 (219)
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Influence control method on directed weighted signed graphs with deterministic causality
Annals of Operations Research, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
A. Tselykh +3 more
semanticscholar +3 more sources
IEEE Transactions on Cybernetics, 2020
This article studies the lag-bipartite formation tracking (LBFT) problem of the networked robotic systems (NRSs) with directed matrix-weighted signed graphs.
Teng‐Fei Ding +4 more
semanticscholar +4 more sources
This article studies the lag-bipartite formation tracking (LBFT) problem of the networked robotic systems (NRSs) with directed matrix-weighted signed graphs.
Teng‐Fei Ding +4 more
semanticscholar +4 more sources
A class of key-node indexed hash chains based key predistribution (KPS): Signed weighted graphs
Computer Networks, 2019Key management solutions are cornerstone requirements for any security service. Due to resource limitations, public key cryptographic (PKC) solutions are unsuitable for IoT devices like sensors of WSN. Consequently we opt for key predistribution schemes (
Pinaki Sarkar, Sukumar Nandi
semanticscholar +2 more sources
, 2019
This article proposes a method of selecting the damping factor (DF) based on finding the boundaries of the range of the domain of the DF for a model of effective controls, reflecting the spread of influence on the directed weighted signed graphs. The graph model is a fuzzy cognitive map (FCM). Two ranges of the subset values of the domain of the DF are
A. Tselykh, V. Vasilev, L. Tselykh
semanticscholar +2 more sources
This article proposes a method of selecting the damping factor (DF) based on finding the boundaries of the range of the domain of the DF for a model of effective controls, reflecting the spread of influence on the directed weighted signed graphs. The graph model is a fuzzy cognitive map (FCM). Two ranges of the subset values of the domain of the DF are
A. Tselykh, V. Vasilev, L. Tselykh
semanticscholar +2 more sources
On spectral properties of signed Laplacians for undirected graphs
IEEE Conference on Decision and Control, 2017Recently, signed weighted graphs have appeared in broad applications, ranging from social networks to biological networks, from distributed control systems to electric power systems.
Li Qiu, Tamer Basar
exaly +2 more sources
Applied Mathematics and Computation
Aoxue Xiang, Xinyuan Zhao, Ruicheng Ma
semanticscholar +2 more sources
Aoxue Xiang, Xinyuan Zhao, Ruicheng Ma
semanticscholar +2 more sources
On the rank of weighted graphs
Linear and Multilinear Algebra, 2017W. Zhang, A. Yu
exaly +2 more sources
WSGCN4SLP: Weighted Signed Graph Convolutional Network for Service Link Prediction
2021 IEEE International Conference on Web Services (ICWS), 2021Learning network representations of Web services plays a critical role in the service ecosystem and facilitates many downstream tasks, e.g., service composition, service recommendation, service clustering, and service classification, etc. However, the performance of most of the existing approaches is limited by the sparse and non-interaction ...
Yong Xiao 0002 +4 more
openaire +1 more source
Zeta functions of signed graphs
Linear and multilinear algebra, 2023We introduce the zeta function of a signed graph and give a determinant expression for it in terms of the signed oriented line graph, and moreover, we obtain some properties of the zeta function of a signed graph. As applications we affirm the conjecture
Deqiong Li, Yaoping Hou, Dijian Wang
semanticscholar +1 more source
Characterizing controllable subspace and herdability of signed weighted networks via graph partition
Automatica, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Baike She, Zhen Kan
openaire +1 more source