State-space Network Models
State-Space Network Models is a dynamic network modeling framework that represents the evolution of network structures over time by specifying a latent state space process governing network transitions, distinguished from static or event-based models by its explicit separation of latent state dynamics and observable network outputs.
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6.7K
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431
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231
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2017–2026
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Serge Hoogendoorn, Henk J. van Zuylen · Transportation Research Record Journal of the Transportation Research Board · 2002 · 286 citations
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231

King Abdulaziz University
Jeddah, Saudi Arabia
4 h-index
6 publications
342 citations

Harbin University of Science and Technology
Harbin, China
4 h-index
14 publications
868 citations
Beijing Jiaotong University
Beijing, China
4 h-index
8 publications
176 citations

Beihang University
Beijing, China
4 h-index
7 publications
298 citations

Central South University
Changsha, China
3 h-index
9 publications
139 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
7 publications
157 citations
Brigham Young University
Provo, United States
3 h-index
6 publications
105 citations

Harbin Institute of Technology
Harbin, China
3 h-index
6 publications
220 citations
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10 publications · 379 citations
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5 publications · 456 citations
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4 publications · 100 citations
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3 publications · 126 citations
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3 publications · 238 citations
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