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: | |
| 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: | https://doi.org/10.1007/978-3-319-28922-9 |