Understanding and forecasting lifecycle events in information cascades
Bibliographic Data
| ID | 4651085 |
|---|---|
| Authors | Soumajyoti Sarkar (0000-0002-4100-1160, Arizona State University, corresponding author), Ruocheng Guo (0000-0002-8522-6142, Arizona State University), Paulo Shakarian (0000-0002-3159-4660, Arizona State University) |
| Year | 2017 |
| Volume | 7 |
| Issue | 1 |
| Pages | 55 |
| Publication date | 2017-12-01 |
| 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/s13278-017-0475-9 |
| OpenAlex | W2765923241 |
| Language | EN |
| Citations received | 2 |
| References cited | 35 |
Cascade · Cluster analysis · Clustering coefficient · Econometrics · Granger causality · Information cascade · Machine learning · Network topology · Statistics · Vector autoregression · Complex Network Analysis Techniques · Computer Science · Engineering · Innovation Diffusion and Forecasting · Mathematics · Opinion Dynamics and Social Influence · Artificial Intelligence
The link‐prediction problem for social networks
Self-Exciting Point Process Modeling of Crime
Innovation diffusion and new product growth models
Maximizing the spread of influence through a social network
Testing for causality
Analysis of weighted networks
Identification of influential spreaders in complex networks
Distribution of the Estimators for Autoregressive Time Series with a Unit Root
Investigating Causal Relations by Econometric Models and Cross-spectral Methods
Centrality in social networks conceptual clarification
Eigenvector-like measures of centrality for asymmetric relations
Link injection for boosting information spread in social networks
| Citations per year | 0.29 |
|---|---|
| Citation span | 2019 - 2020 (2) |
| Highly cited | No |