Temporal Network Inference
Temporal Network Inference is a methodological framework within dynamic network analysis that enables the reconstruction or prediction of time-varying network structures from observed temporal data by distinguishing evolving node interactions from static or aggregated representations.
74
Publications
5.3K
Citations
257
Authors
129
Institutions
Publications per year
2017–2026
46
Parents
74
Connectivity and inference problems for temporal networks
David Kempe, Jon Kleinberg, Amit Kumar · 2000 · 320 citations
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129
Virginia Tech
Blacksburg, United States
3 h-index
4 publications
93 citations
Microsoft (United States)
Redmond, United States
3 h-index
10 publications
329 citations
University of Michigan
Ann Arbor, United States
3 h-index
7 publications
263 citations
University of Oxford
Oxford, United Kingdom
3 h-index
21 publications
2.3K citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
9 publications
1.1K citations
Tsinghua University
Beijing, China
3 h-index
9 publications
336 citations
IBM (United States)
Armonk, United States
3 h-index
5 publications
99 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
6 publications
536 citations
1–8 of 129
Repository · 6 publications · 206 citations
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3 publications · 193 citations
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2 publications · 145 citations
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2 publications · 89 citations
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2 publications · 251 citations
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