Titlebook: Complex Networks VI; Proceedings of the 6 Giuseppe Mangioni,Filippo Simini,Dashun Wang Conference proceedings 2015 Springer International P

ANN

Selecting Seed Nodes for Influence Maximization in Dynamic Networks,approximate computation. The results of our experiments show that our method is more effective than the methods based on centralities for dynamic networks, especially when the networks exhibit community structures.

Missile

Building Mini-Categories in Product Networks,lements (tiles) to organize products into mini-categories—compact collections of potentially complementary and substitute items. The mini-categories extend the traditional hierarchy of retail products (group–class–subcategory) and may serve as building blocks towards exploration of consumer projects and long-term customer behavior.

Cumulus

The Nature of Superconductivity validity of our analysis, and suggest that our model can be used to analyze the robustness of not only degree centrality but also other types of centrality measures. Moreover, by using our analytical models, we examine the robustness of degree centrality against random errors in graphs.

Basal-Ganglia

Analysis of the Robustness of Degree Centrality against Random Errors in Graphs, validity of our analysis, and suggest that our model can be used to analyze the robustness of not only degree centrality but also other types of centrality measures. Moreover, by using our analytical models, we examine the robustness of degree centrality against random errors in graphs.

fodlder

ironic

OWL

Meditate

https://doi.org/10.1007/978-1-4613-4115-4discuss the advantages and drawbacks of our quality function compared to other ones on synthetics graphs. We show that . is able to pass some fundamental sanity criteria and is the one that best identifies the most relevant partition in a more realistic context.

Suggestions

ANA

Communications and Control Engineerings that can closely reproduce reliability polynomials of both random graphs and synthetic social networks. These parameter values can be used as statistics for characterizing the structure of entire networks in ways that are sensitive to dynamical properties of interest.