@inproceedings{4561aa8a9dee4cb4b96a2133d594b6c9,
title = "Source Detection Method Based on Propagation Probability",
abstract = "In this paper, we study how to locate network information sources given the propagation subgraph of information. We introduce the propagation probability into the complex network, which is used to describe the information transmission capability of the network nodes. The aim of the proposed model is to decrease the source locating error caused by the imbalance of information diffusion. We simulate the propagation of information in different types of complex networks. Experiments show that the propagation probability model can effectively improve the location accuracy.",
keywords = "Infection subgraph, Information source, Social network",
author = "Yuxin Ding and Longfei Wang and Rui Wu and Fuxing Xue",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG, part of Springer Nature.; 2nd International Conference on Cognitive Computing, ICCC 2018 Held as Part of the Services Conference Federation, SCF 2018 ; Conference date: 25-06-2018 Through 30-06-2018",
year = "2018",
doi = "10.1007/978-3-319-94307-7\_15",
language = "英语",
isbn = "9783319943060",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "179--186",
editor = "Zhi-Hong Mao and Jing Xiao and Toyotaro Suzumura and Liang-Jie Zhang",
booktitle = "Cognitive Computing – ICCC 2018 - 2nd International Conference, Held as Part of the Services Conference Federation, SCF 2018, Proceedings",
address = "德国",
}