Online Community Identification over Heterogeneous Attributed Directed Graphs

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 水下机器人研究室

	Online Community Identification over Heterogeneous Attributed Directed Graphs
	Wang ZZ(王泽众)1,2,3; Zhou, Xiangmin 4; Ma, Yuliang 3; Yi, Xun 4
	2020
会议日期	November 12-14, 2020
会议地点	Foshan, China
关键词	Online community identification User identity linkage Attributed directed graphs
页码	266-280
英文摘要	The creating of communities has resulted in the astonishing increase in many areas. Especially in the area of social networks, it has wide applications in the domains such as product recommendation, setting up social events, online games etc. The applications are relied on effective solutions for retrieving communities online. In this way, a great deal of research has been conducted on yielding communities. Unfortunately, the state-of-the-art community identity methods which aim to find out communities containing the query nodes, only consider topological structure, but ignore the effect of nodes’ attribute, direction between nodes, and nodes’ information across heterogeneous graphs, lead to communities with poor cohesion. Thus, we address the problem of discovering communities online, across heterogeneous directed attributed graphs. We first propose an online method to match pairs of users in heterogeneous graphs and combine them into a new one. Then we propose IC-ADH, a novel framework of retrieving communities in the new directed attributed graph. Extensive experiments demonstrate the effectiveness of our proposed solution across heterogeneous directed attributed graphs.
产权排序	1
会议录	Advanced Data Mining and Applications - 16th International Conference, ADMA 2020, Proceedings
会议录出版者	Springer Science and Business Media Deutschland GmbH
会议录出版地	Berlin
语种	英语
ISSN号	0302-9743
ISBN号	978-3-030-65389-7
WOS记录号	WOS:000723588900021
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/28364]
专题	沈阳自动化研究所_水下机器人研究室
通讯作者	Wang ZZ(王泽众)
作者单位	1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.School of Computer Science and Engineering, Northeastern University, Shenyang, China 4.School of Science, RMIT University, Melbourne, VIC 3000, Australia
推荐引用方式 GB/T 7714	Wang ZZ,Zhou, Xiangmin,Ma, Yuliang,et al. Online Community Identification over Heterogeneous Attributed Directed Graphs[C]. 见:. Foshan, China. November 12-14, 2020.