@inproceedings{38fdf48a01f04165958b6720cab5900e,
title = "Analyzing community structure based on topology potential over complex network system",
abstract = "Community structure is one of complex network properties which reveals the main organizing proposition in most real-world complex networks. The special interests are groups of vertices within the intense edges or connections that are not only overlapping, but also change over-time. In this paper, we present the overview of structured complex network properties that affect the process of discovering community structure. Topology potential of nodes in complex network is also described. Topology potential is a measurement method to investigate the interaction among community members. From the recent literatures, the community structure discovered by topology potential needs to be improved in term of performance and accuracy in order to obtain more meaningful results.",
keywords = "Community structure, Complex network, Topology potential",
author = "Kanokwan Malang and Shuliang Wang and Tianru Dai",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018.; 5th International Conference on Geo-Spatial Knowledge and Intelligence, GSKI 2017 ; Conference date: 08-12-2017 Through 10-12-2017",
year = "2018",
doi = "10.1007/978-981-13-0896-3_6",
language = "English",
isbn = "9789811308956",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "56--68",
editor = "Hanning Yuan and Jing Geng and Chuanlu Liu and Tisinee Surapunt and Fuling Bian",
booktitle = "Geo-Spatial Knowledge and Intelligence - 5th International Conference, GSKI 2017, Revised Selected Papers",
address = "Germany",
}