ANN
发表于 2025-3-23 12:40:40
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
发表于 2025-3-23 16:11:19
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
发表于 2025-3-23 20:32:23
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
发表于 2025-3-24 00:49:39
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
发表于 2025-3-24 05:37:55
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ironic
发表于 2025-3-24 08:08:16
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OWL
发表于 2025-3-24 12:50:24
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Meditate
发表于 2025-3-24 17:49:12
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
发表于 2025-3-24 20:24:34
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ANA
发表于 2025-3-25 00:11:34
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.