Algorithmic Scalability
Algorithmic Scalability is the property of an algorithmic process that determines its ability to maintain efficiency and performance as the scale of input or problem size increases, distinguished from broader system-level scalability by its exclusive focus on the intrinsic computational behavior and resource consumption patterns of the algorithm itself.
115
Publications
5.8K
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421
Authors
203
Institutions
Publications per year
2017–2026
53
Parents
115
A fast distributed algorithm for mining association rules
David W. Cheung, Jiawei Han, Vincent Ng et al. · 2002 · 439 citations
Finding community structure in mega-scale social networks
Ken Wakita, Toshiyuki Tsurumi · 2007 · 328 citations
Finding Community Structure in Mega-scale Social Networks
Ken Wakita, Toshiyuki Tsurumi · ArXiv.org · 2007 · 203 citations · Full text
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Chinese Academy of Sciences
Beijing, China
4 h-index
16 publications
1.4K citations
ETH Zurich
Zurich, Switzerland
3 h-index
14 publications
256 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
4 publications
119 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
4 publications
377 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
3 publications
616 citations
Iowa State University
Ames, United States
2 h-index
3 publications
126 citations

Australian National University
Canberra, Australia
2 h-index
3 publications
78 citations

University of Amsterdam
Amsterdam, The Netherlands
2 h-index
2 publications
23 citations
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Repository · 11 publications · 434 citations
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3 publications · 215 citations
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2 publications · 26 citations
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Repository · 2 publications · 31 citations
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