Using network motifs to characterize temporal network evolution leading to diffusion inhibition
Bibliographic Data
| ID | 4682828 |
|---|---|
| Authors | Soumajyoti Sarkar (0000-0002-4100-1160, Arizona State University), Ruocheng Guo (0000-0002-8522-6142, Arizona State University), Paulo Shakarian (0000-0002-3159-4660, Arizona State University) |
| Year | 2019 |
| Volume | 9 |
| Issue | 1 |
| Pages | 14 |
| Publication date | 2019-12-01 |
| Peer Reviewed | Yes |
| 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/s13278-019-0556-z |
| OpenAlex | W2920248155 |
| Language | EN |
| Citations received | 3 |
| References cited | 50 |
Cascade · Complex network · Information cascade · Network analysis · Network motif · Social media · World Wide Web · Chemistry · Complex Network Analysis Techniques · Computer Science · Mathematics · Mental Health Research Topics · Opinion Dynamics and Social Influence
Networks, Crowds, and Markets
Model Selection and Estimation in Regression with Grouped Variables
The link‐prediction problem for social networks
Network Motifs
Maximizing the spread of influence through a social network
Identification of influential spreaders in complex networks
Regression Shrinkage and Selection Via the Lasso
Toward early and order-of-magnitude cascade prediction in social networks
An author is known by the context she keeps
Understanding and forecasting lifecycle events in information cascades
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2020 - 2021 (2) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |