Link Prediction in Social Networks Role of Power Law Distribution /
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...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Edition: | 1st ed. 2016. |
| Series: | SpringerBriefs in Computer Science,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Introduction
- Link Prediction Using Degree Thresholding
- Locally Adaptive Link Prediction
- Two Phase Framework for Link Prediction
- Applications of Link Prediction
- Conclusion.