Title :
Assessing network vulnerability in a community structure point of view
Author :
Nguyen, Nam P. ; Alim, Mohammad A. ; Yilin Shen ; Thai, My T.
Author_Institution :
Dept. of Comput. & Inf. Sci. & Eng., Univ. of Florida, Gainesville, FL, USA
Abstract :
We introduce Community structure Vulnerability Assessment (CVA) problem to assess the network vulnerability under a community structure point of view. Given a positive number k, CVA aims to find out the k most vulnerable nodes whose removals maximally transform the current network community structure to a different one. As the first attempt, we suggest an approximation algorithm for the special case k = 1, and propose multiple greedy algorithms for CVA problem. To certify the effectiveness of suggested approaches, we test them on not only synthesized networks with known community structures but also on real-world social traces.
Keywords :
greedy algorithms; network theory (graphs); reliability theory; CVA problem; approximation algorithm; community structure vulnerability assessment; multiple greedy algorithms; network vulnerability assessment; positive number; real-world social traces; Communities; Complex networks; Conferences; Detection algorithms; Facebook; Heuristic algorithms;
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
Conference_Location :
Niagara Falls, ON