A subquadratic triad census algorithm for large sparse networks with small maximum degree
Bibliographic Data
| ID | 18941859 |
|---|---|
| Authors | Vladimir Batagelj (0000-0002-0240-9446, University of Ljubljana), Andrej Mrvar (0000-0001-8557-4692, University of Ljubljana) |
| Year | 2001 |
| Volume | 23 |
| Issue | 3 |
| Pages | 237-243 |
| Publication date | 2001-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Networks (JOURNAL) |
| Journal identifiers | ISSN: 0378-8733 • E-ISSN: 1879-2111 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/s0378-8733(01)00035-1 |
| OpenAlex | W2125725243 |
| Language | EN |
| Citations received | 16 |
| References cited | 3 |
Algorithm · Census · Population · Advanced Graph Theory Research · Complex Network Analysis Techniques · Computer Science · Demography · Graph theory and applications · Psychology
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An efficient counting method for the colored triad census
Very Local Structure in Social Networks
Modelling ambivalent triads in family research
| Unique citing works | 16 |
|---|---|
| Citations per year | 0.73 |
| Citation span | 2004 - 2026 (23) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 16 |