Link prediction in social networks : role of power law distribution / Virinchi Srinivas, Pabitra Mitra.
This work presents link prediction similarity measures for social networks that exploit the degree distribution of the networks. In the context of link prediction in dense networks, the text proposes similarity measures based on Markov inequality degree thresholding (MIDTs), which only consider node...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Ebook |
| Language: | English |
| Published: |
[Switzerland] :
Springer,
2016.
|
| Series: | SpringerBriefs in computer science.
|
| Subjects: | |
| Online Access: | Springer eBooks |
Table of Contents:
- Introduction
- Link Prediction Using Degree Thresholding
- Locally Adaptive Link Prediction
- Two Phase Framework for Link Prediction
- Applications of Link Prediction
- Conclusion.