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Behavioral Analysis in Complex Networks Using Network Science Algorithms | ||
| Journal of Algorithms and Computation | ||
| مقاله 2، دوره 57، شماره 1، آبان 2025، صفحه 15-29 اصل مقاله (665.35 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jac.2025.395729.1230 | ||
| نویسندگان | ||
| Parham Ghenmipour؛ Ali Kamandi* | ||
| Department of Engineering Science, College of Engineering, University of Tehran, Tehran, Iran | ||
| چکیده | ||
| Complex networks contain important structures to represent individuals' connections. In this research, the goal is to analyze the patterns of complex contagion considering current factors in network science and standard networks in this area. In this regard, essential factors in a network, such as nodes' degree, the structure of networks, and hubs in scale-free networks, are being analyzed. The result of this research demonstrates that the behavior of each network, considering the factors above, can be different from each others. Random networks have more arrangements within the changes of the number of infected nodes in each timeframe for nodes that get infected. However, scale-free networks have this property with the number of infected neighbors of each node independent of the time of contagion for the nodes of their time of getting infected. | ||
| کلیدواژه‌ها | ||
| Complex Network؛ Complex Contagion؛ Spreading Phenomena؛ Graph Theory؛ Information Diffusion | ||
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آمار تعداد مشاهده مقاله: 107 تعداد دریافت فایل اصل مقاله: 62 |
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