Temporal Network Sampling
Temporal Network Sampling is a methodological framework within dynamic network analysis that systematically selects time-indexed subgraphs or interaction instances from a temporal network to preserve evolving structural and temporal properties for scalable and representative analysis.
9
Publications
345
Citations
24
Authors
12
Institutions
Publications per year
2017–2026
3
Parents
9
A Matrix Iteration for Dynamic Network Summaries
Peter Grindrod, Desmond J. Higham · SIAM Review · 2013 · 84 citations · Full text
Time-based sampling of social network activity graphs
Nesreen K. Ahmed, Fredrick J. Berchmans, Jennifer Neville et al. · 2010 · 56 citations
Sampling-based algorithm for link prediction in temporal networks
Nahla Mohamed Ahmed, Ling Chen, Yulong Wang et al. · Information Sciences · 2016 · 56 citations
Sampling of temporal networks: Methods and biases
Luis E. C. Rocha, Naoki Masuda, Petter Holme · Physical review. E · 2017 · 39 citations · Full text
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University of Bristol
Bristol, United Kingdom
1 h-index
1 publications
39 citations

University of Padua
Padua, Italy
1 h-index
2 publications
34 citations
Tokyo Institute of Technology
Tokyo, Japan
1 h-index
1 publications
39 citations
Indiana University Bloomington
Bloomington, United States
1 h-index
2 publications
80 citations

University of Namur
Namur, Belgium
1 h-index
3 publications
117 citations
University of Reading
Reading, United Kingdom
1 h-index
1 publications
84 citations
University of Graz
Graz, Austria
1 h-index
3 publications
90 citations

Yangzhou University
Yangzhou, China
1 h-index
6 publications
336 citations
1–8 of 12
1 publications · 84 citations
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1 publications · 40 citations
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PRE · 1 publications · 39 citations
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1 publications · 30 citations
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Conference · 1 publications · 17 citations
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