Evaluating performance of link prediction in scale-free evolving networks and a Facebook community
Bibliographic Data
| ID | 16859282 |
|---|---|
| Authors | Laurie Grieshober (0000-0003-2316-9143, University at Buffalo, State University of New York, corresponding author), Rachael Hageman Blair (0000-0001-8538-2447, Buffalo State University, corresponding author) |
| Year | 2014 |
| Volume | 4 |
| Issue | 1 |
| Publication date | 2014-12-01 |
| 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/s13278-014-0183-7 |
| OpenAlex | W2008954949 |
| Language | EN |
| References cited | 36 |
Computer network · Data mining · Feature selection · Machine learning · Bioinformatics and Genomic Networks · Complex Network Analysis Techniques · Computer Science · Opinion Dynamics and Social Influence · Artificial Intelligence
Social Network Data Analytics
Networks, Crowds, and Markets
Social Network Analysis
The link‐prediction problem for social networks
Statistical mechanics of complex networks
The Mathematics of Infectious Diseases
Link prediction in complex networks
Basic principles of ROC analysis
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
Collective dynamics of ‘small-world’ networks
Random Forests
Community structure in social and biological networks
Friends and neighbors on the Web
A dynamic model for social networks
| Highly cited | No |
|---|