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Increasing the Diffusional Characteristics of Networks Through Optimal Topology Changes within Sub-graphs

In recent years, bustling online communities have focused a lot of attention on research dealing with information spreading. Through acquired knowledge about the characteristics of information spreading processes, we are able to influence their dynamics via the enhancement of propagation properties or by changing them to decrease their spread within a network. One of approaches is adding or removing connections within a network. While optimal linking within complex networks requires extensive computational resources, in this investigation, we focus on the optimization of the topology of small graphs within larger network structures. The study shows how the enhancement of propagation properties within small networks is preserved in bigger networks based on connected smaller graphs. We compare the results from combined small graphs with added links providing optimal spread and networks with additional random linking. The results show that improvements in linking within small sub-graphs with optimal linking improves the diffusional properties of the whole network.