activity
20112024
most citedParameterized Approximability of Maximizing the Spread of Influence in Networks

31 citations · 66 across the 12 of their papers we have counts for

collaborators
Showing cs.CCShow all

5 papers · 1 filter

cs.CC2021

Dense Graph Partitioning on sparse and dense graphs

Cristina Bazgan, Katrin Casel, Pierre Cazals

We consider the problem of partitioning a graph into a non-fixed number of non-overlapping subgraphs of maximum density. The density of a partition is the sum of the densities of t…

cs.CC2019★ 3 cited

Proportionally dense subgraph of maximum size: complexity and approximation

Cristina Bazgan, Janka Chlebíková, Clément Dallard +1

We define a proportionally dense subgraph (PDS) as an induced subgraph of a graph with the property that each vertex in the PDS is adjacent to proportionally as many vertices in th…

cs.CC2018

A More Fine-Grained Complexity Analysis of Finding the Most Vital Edges for Undirected Shortest Paths

Cristina Bazgan, Till Fluschnik, André Nichterlein +2

We study the NP-hard Shortest Path Most Vital Edges problem arising in the context of analyzing network robustness. For an undirected graph with positive integer edge lengths and t…

cs.CC2015★ 1 cited

Algorithmic Aspects of Upper Domination

Cristina Bazgan, Ljiljana Brankovic, Katrin Casel +6

In this paper we study combinatorial and algorithmic resp. complexity questions of upper domination, i.e., the maximum cardinality of a minimal dominating set in a graph. We give a…

cs.CC2014★ 16 cited

Parameterized Inapproximability of Target Set Selection and Generalizations

Cristina Bazgan, Morgan Chopin, André Nichterlein +1

In this paper, we consider the Target Set Selection problem: given a graph and a threshold value for any vertex of the graph, find a minimum size vertex-subset to "act…