@inproceedings{c29674acd94b46e4bcc222b062007dd6,
title = "Exploratory community detection: Finding communities in unknown networks",
abstract = "Community detection amounts to one of the key methods in handling social networks with the aim of capturing global patterns of a network. This paper focuses on a situation where the network is unknown, which would render existing algorithms unusable. We propose exploratory community detection which aims to detect communities by utilizing samples taken from diffusion process over the network. For this problem, we propose a neural-based algorithm that develops a matrix representation of the network structure. This matrix is then the input of a spectral clustering algorithm to reveal communities in the network. We perform experiments on real-world and synthetic data sets with simulated diffusion samples.The results reveal that our algorithm has strong empirical performance.",
keywords = "Community detection, Information diffusion, Spectral method, Unknown network",
author = "Bo Yan and Fanku Meng and Jiamou Liu and Yiping Liu and Hongyi Su",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 15th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2019 ; Conference date: 11-12-2019 Through 13-12-2019",
year = "2019",
month = dec,
doi = "10.1109/MSN48538.2019.00048",
language = "English",
series = "Proceedings - 2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "206--211",
booktitle = "Proceedings - 2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2019",
address = "United States",
}