Complex networks are structurally distinguishable by domain
Bibliographic Data
| ID | 4658511 |
|---|---|
| Authors | Ryan A Rossi (0000-0001-9758-0635, Adobe Systems (United States), corresponding author), Nesreen K Ahmed (0000-0002-7913-4962, Intel (United States)) |
| Year | 2019 |
| Volume | 9 |
| Issue | 1 |
| Pages | 51 |
| Publication date | 2019-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-019-0593-7 |
| OpenAlex | W2974611288 |
| Language | EN |
| Citations received | 2 |
| References cited | 38 |
Bioinformatics and Genomic Networks · Complex Network Analysis Techniques · Computer Science · Mathematics · Opinion Dynamics and Social Influence · Artificial Intelligence
Networks
On the evolution of random graphs
Network Motifs
Assortative Mixing in Networks
Statistical mechanics of complex networks
The Network Data Repository with Interactive Graph Analytics and Visualization
Random graphs with arbitrary degree distributions and their applications
Collective dynamics of ‘small-world’ networks
Random Forests
Coloring large complex networks
| Citations per year | 0.33 |
|---|---|
| Citation span | 2020 - 2021 (2) |
| Highly cited | No |