A survey on influence maximization in a social network
Given a social network with diffusion probabilities as edge weights and a positive integer k,
which k nodes should be chosen for initial injection of information to maximize the influence …
which k nodes should be chosen for initial injection of information to maximize the influence …
[HTML][HTML] Latency-bounded target set selection in social networks
Motivated by applications in sociology, economy and medicine, we study variants of the
Target Set Selection problem, first proposed by Kempe, Kleinberg and Tardos. In our …
Target Set Selection problem, first proposed by Kempe, Kleinberg and Tardos. In our …
Contagious sets in expanders
We consider the following activation process in undirected graphs: a vertex is active either if
it belongs to a set of initially activated vertices or if at some point it has at least r active …
it belongs to a set of initially activated vertices or if at some point it has at least r active …
[PDF][PDF] A survey on alliances and related parameters in graphs
A survey on alliances and related parameters in graphs Page 1 www.ejgta.org Electronic
Journal of Graph Theory and Applications 2 (1) (2014), 70–86 A survey on alliances and related …
Journal of Graph Theory and Applications 2 (1) (2014), 70–86 A survey on alliances and related …
[HTML][HTML] Parameterized approximability of maximizing the spread of influence in networks
In this paper, we consider the problem of maximizing the spread of influence through a
social network. Given a graph with a threshold value thr (v) attached to each vertex v, the …
social network. Given a graph with a threshold value thr (v) attached to each vertex v, the …
[HTML][HTML] Spread of influence in weighted networks under time and budget constraints
Given a network represented by a weighted directed graph G, we consider the problem of
finding a bounded cost set of nodes S such that the influence spreading from S in G, within a …
finding a bounded cost set of nodes S such that the influence spreading from S in G, within a …
Optimizing spread of influence in social networks via partial incentives
A widely studied process of influence diffusion in social networks posits that the dynamics of
influence diffusion evolves as follows: Given a graph G=(V, E), representing the network …
influence diffusion evolves as follows: Given a graph G=(V, E), representing the network …
Influence propagation over large scale social networks
We study the influence diffusion problem in online social networks. Formally, given a
network represented by a directed graph G=(V, E), we consider a process of influence …
network represented by a directed graph G=(V, E), we consider a process of influence …
[HTML][HTML] Complexity analysis of P3-convexity problems on bounded-degree and planar graphs
LD Penso, F Protti, D Rautenbach… - Theoretical Computer …, 2015 - Elsevier
This paper studies new complexity aspects of P 3-convexity restricted to planar graphs with
bounded maximum degree. More specifically, we are interested in identifying either a …
bounded maximum degree. More specifically, we are interested in identifying either a …
[HTML][HTML] Influence diffusion in social networks under time window constraints
We study a combinatorial model of the spread of influence in networks that generalizes
existing schemata recently proposed in the literature. In our model, agents change …
existing schemata recently proposed in the literature. In our model, agents change …