BlackHole: Robust community detection inspired by graph drawing

S Lim, J Kim, JG Lee - 2016 IEEE 32nd International …, 2016 - ieeexplore.ieee.org
With regard to social network analysis, we concentrate on two widely-accepted building
blocks: community detection and graph drawing. Although community detection and graph …
被引用次数：27 相关文章
[PDF] 143.248.91.144

[PDF][PDF] BlackHole: Robust Community Detection Inspired by Graph Drawing

S Lim, J Kim, JG Lee - 143.248.91.144
With regard to social network analysis, we concentrate on two widely-accepted building
blocks: community detection and graph drawing. Although community detection and graph …

BlackHole: Robust Community Detection Inspired by Graph Drawing

S Lim, J Kim, JG Lee - 32nd Int'l Conf. on Data Engineering, 2016 - koasas.kaist.ac.kr
With regard to social network analysis, we concentrate on two widely-accepted building
blocks: community detection and graph drawing. Although community detection and graph …
[PDF] researchgate.net

[PDF][PDF] BlackHole: Robust Community Detection Inspired by Graph Drawing

S Lim, J Kim, JG Lee - researchgate.net
With regard to social network analysis, we concentrate on two widely-accepted building
blocks: community detection and graph drawing. Although community detection and graph …

BlackHole: Robust community detection inspired by graph drawing

S Lim, J Kim, JG Lee - 32nd IEEE International Conference on Data …, 2016 - pure.kaist.ac.kr
With regard to social network analysis, we concentrate on two widely-accepted building
blocks: community detection and graph drawing. Although community detection and graph …
[PDF] sungsulim.com

[PDF][PDF] BlackHole: Robust Community Detection Inspired by Graph Drawing

S Lim, J Kim, JG Lee - sungsulim.com
With regard to social network analysis, we concentrate on two widely-accepted building
blocks: community detection and graph drawing. Although community detection and graph …