Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining
Bibliographic Data
| ID | 16927867 |
|---|---|
| Editors | Neil Agarwal (0000-0002-5612-4753), Nitin Agarwal (0000-0003-0256-3897), Nima Dokoohaki (0000-0003-2339-2337), Serpil Tokdemir |
| Year | 2019 |
| Publication date | 2019-01-01 |
| Open Access | Yes |
| Type | BOOK |
| Venue | Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining (SOURCE_BOOK) |
| Publisher | Springer International Publishing (PUBLISHER • SG) |
| DOI | 10.1007/978-3-319-94105-9 |
| OpenAlex | W2936655406 |
| Open Library | OL28232767M |
| ISBN | 9783319941059 |
| Language | EN |
| Citations received | 6 |
Data science · Social media · Social network analysis · World Wide Web · Advanced Graph Neural Networks · Complex Network Analysis Techniques · Computer Science · Web Data Mining and Analysis · Data mining · Social networks
Comparison of machine learning algorithms for content based personality resolution of tweets
جمال_خاشقجي# #JamalKhashoggi
Twitter content strategies to maximize engagement
Predicting cyber offenders and victims and their offense and damage time from routine chat times and online social network activities
Why Botter
The Networked Leviathan
| Unique citing works | 6 |
|---|---|
| Citations per year | 1.2 |
| Citation span | 2021 - 2024 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |