Similarity index based on local paths for link prediction of complex networks
University of Fribourg · University of Science and Technology of China
Abstract
Predictions of missing links of incomplete networks, such as protein-protein interaction networks or very likely but not yet existent links in evolutionary networks like friendship networks in web society, can be considered as a guideline for further experiments or valuable information for web users. In this paper, we present a local path index to estimate the likelihood of the existence of a link between two nodes. We propose a network model with controllable density and noise strength in generating links, as well as collect data of six real networks. Extensive numerical simulations on both modeled networks and real networks demonstrated the high effectiveness and efficiency of the local path index compared…
Citation impact
- FWCI
- 10.17
- Percentile
- 100%
- References
- 63
Authors
3Topics & keywords
- Computer science
- Index (typography)
- Data mining
- Path (computing)
- Complex network
- Similarity (geometry)
- Link (geometry)
- Artificial intelligence