@inproceedings{712f5fd14dda4b95b32b868a78c72bba,
title = "The importance of k-shell in discovering key nodes in complex networks",
abstract = "Outlier detection is drawing more attention in recent years. It has a wide variety of applications, including network intrusion detection and event detection. A great deal of research has been done in this area, using spectrum or MDL (Minimum Description Length) as important tools to find some outliers. In this paper, we bring the k-shell into the outlier detection in complex networks, using the structural entropy as a way to measure the feature of the whole complex network. Through the experiment both on a synthetic network and a real world network, we give the importance of k-shell in discovering outliers in complex networks.",
keywords = "complex networks, important nodes, k-shell, node centrality, timeevolving",
author = "Hong Zhang and Changzhen Hu and Xiaojun Wang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016 ; Conference date: 04-06-2016 Through 06-06-2016",
year = "2016",
month = oct,
day = "7",
doi = "10.1109/ICCSN.2016.7586586",
language = "English",
series = "Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "565--569",
booktitle = "Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016",
address = "United States",
}