@inproceedings{d55cc5e6e0f14e0f865c51e96c21bfd1,
title = "Vizcs: Online searching and visualizing communities in dynamic graphs",
abstract = "Given a query vertex in a graph, the task of community search is to find all meaningful communities containing the query vertex in an online manner. In this demonstration, we propose a novel query processing system for searching and visualizing communities in graphs, called VizCS. It exhibits three key innovative features. First, VizCS adopts several community models and supports community search on dynamic graphs where nodes/edges undergo frequently insertions/deletions. Second, VizCS offers a user-friendly visual interface to formulate queries and a real-Time response query processing engine. Last but not least, VizCS generates a community exploration wall by offering interactive community visualization, which facilitates users to in-depth understanding of the data. Furthermore, VizCS becomes a community search platform that can visualize and compare different community results by various state-of-The-Art algorithms and user-uploaded approaches.",
keywords = "COMMUNITY SEARCH, K-TRUSS, ONLINE SEARCH",
author = "Yuli Jiang and Xin HUANG and Hong Cheng and Yu, {Jeffrey Xu}",
note = "Funding Information: ACKNOWLEDGMENT This work was supported by grants from the Research Grants Council of the Hong Kong Special Administratvi e Region, China [Project No.: CUHK 14205617], [Project No.: CUHK 14221716], and [Project No.: HKBU 12200917].; 34th IEEE International Conference on Data Engineering, ICDE 2018 ; Conference date: 16-04-2018 Through 19-04-2018",
year = "2018",
month = oct,
day = "24",
doi = "10.1109/ICDE.2018.00182",
language = "English",
series = "Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1585--1588",
booktitle = "Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018",
address = "United States",
}