A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Link prediction is an important branch of complex network analysis, which can identify the missing or future links in a network. In this paper, a new link prediction method is presented, inspired by the ideas of both resource allocation index and quasi-local indices, to estimate the likelihood of existing a link between two unconnected nodes. To evaluate the prediction accuracy of the new index, we conduct experiments on five real-world networks compared with five famous indices. The resultsdoi:10.2991/fmsmt-17.2017.96 fatcat:j6yc34pm6ffm3o56j4p46srmvq