Enhancing keyword correlation for event detection in social networks using SVD and k-means
Twitter case study
Bibliographic Data
| ID | 4682102 |
|---|---|
| Authors | Ahmad Hany Hossny (0000-0002-5178-9211, The University of Adelaide, corresponding author), Terry Moschuo (corresponding author), Grant Osborne (corresponding author), Lewis Mitchell (0000-0001-8191-1997, The University of Adelaide, corresponding author), Nick Lothian (corresponding author) |
| Year | 2018 |
| Volume | 8 |
| Issue | 1 |
| Publication date | 2018-12-01 |
| 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/s13278-018-0519-9 |
| OpenAlex | W2883845484 |
| Language | EN |
| Citations received | 1 |
| References cited | 39 |
Centroid · Cluster analysis · Correlation · Data mining · Eigenvalues and eigenvectors · Feature vector · Mahalanobis distance · Matrix decomposition · Non-negative matrix factorization · Singular value decomposition · Statistics · Support vector machine · Advanced Text Analysis Techniques · Complex Network Analysis Techniques · Computer Science · Mathematics · Text and Document Classification Technologies · Artificial Intelligence
Principal component analysis
Measuring user influence on Twitter
Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact
Principal component analysis
Mobilization through online social networks
Social Media and the Decision to Participate in Political Protest
Networked discontent
Unpacking the Use of Social Media for Protest Behavior
| Citations per year | 0.17 |
|---|---|
| Citation span | 2020 - 2020 (1) |
| Highly cited | No |