<p>The numbers of spreaders are 100 in all networks, and the results are obtained by averaging over 200 implementations of the SIR model.</p
Identifying the most influential spreaders that maximize information flow is a central question in n...
Epidemic modeling in complex networks is a hot research topic in recent years. The spreading of a vi...
AbstractIdentifying the most influential individuals spreading ideas, information, or infectious dis...
<p>The parameters are <i>λ</i> = 1.1, <i>q</i> = 1/〈<i>k</i>〉 for all networks, and all results are ...
It is a crucial and fundamental issue to identify a small subset of influential spreaders that can c...
Human contact networks exhibit the community structure. Understanding how such commu-nity structure ...
In the present-days complex networks modeled on real-world data contain millions of nodes and billio...
Contact networks provide insights on disease spread due to the duration of close proximity interacti...
Identifying influential spreaders in complex networks has a significant impact on understanding and ...
Influence maximization is the problem of finding the set of nodes of a network that maximizes the si...
Identifying influential nodes to maximize the spreading influence is an important issue for the stud...
One of the main problems in graph analysis is the correct identification of relevant nodes for sprea...
The explosion of network science has permitted an understanding of how the structure of social netwo...
Identifying the most influential spreaders is one of outstanding problems in physics of complex syst...
It is very important to investigate the multiple spreaders' effects since the spreading phenomenon i...
Identifying the most influential spreaders that maximize information flow is a central question in n...
Epidemic modeling in complex networks is a hot research topic in recent years. The spreading of a vi...
AbstractIdentifying the most influential individuals spreading ideas, information, or infectious dis...
<p>The parameters are <i>λ</i> = 1.1, <i>q</i> = 1/〈<i>k</i>〉 for all networks, and all results are ...
It is a crucial and fundamental issue to identify a small subset of influential spreaders that can c...
Human contact networks exhibit the community structure. Understanding how such commu-nity structure ...
In the present-days complex networks modeled on real-world data contain millions of nodes and billio...
Contact networks provide insights on disease spread due to the duration of close proximity interacti...
Identifying influential spreaders in complex networks has a significant impact on understanding and ...
Influence maximization is the problem of finding the set of nodes of a network that maximizes the si...
Identifying influential nodes to maximize the spreading influence is an important issue for the stud...
One of the main problems in graph analysis is the correct identification of relevant nodes for sprea...
The explosion of network science has permitted an understanding of how the structure of social netwo...
Identifying the most influential spreaders is one of outstanding problems in physics of complex syst...
It is very important to investigate the multiple spreaders' effects since the spreading phenomenon i...
Identifying the most influential spreaders that maximize information flow is a central question in n...
Epidemic modeling in complex networks is a hot research topic in recent years. The spreading of a vi...
AbstractIdentifying the most influential individuals spreading ideas, information, or infectious dis...
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