Temporal Effects in Trend Prediction: Identifying the Most Popular Nodes in the Future
Prediction is an important problem in different science domains. In this paper, we focus on trend prediction in complex networks, i.e. to identify the most popular nodes in the future. Due to the preferential attachment mechanism in real systems, nodes’ recent degree and cumulative degree have been...
| Main Authors: | , , |
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| Format: | Online |
| Language: | English |
| Published: |
Public Library of Science
2015
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4373959/ |