cerebral-cortex
发表于 2025-3-21 17:06:53
书目名称Complex Networks XV影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0231503<br><br> <br><br>书目名称Complex Networks XV影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0231503<br><br> <br><br>书目名称Complex Networks XV网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0231503<br><br> <br><br>书目名称Complex Networks XV网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0231503<br><br> <br><br>书目名称Complex Networks XV被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0231503<br><br> <br><br>书目名称Complex Networks XV被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0231503<br><br> <br><br>书目名称Complex Networks XV年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0231503<br><br> <br><br>书目名称Complex Networks XV年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0231503<br><br> <br><br>书目名称Complex Networks XV读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0231503<br><br> <br><br>书目名称Complex Networks XV读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0231503<br><br> <br><br>
GET
发表于 2025-3-21 22:01:47
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假装是我
发表于 2025-3-22 00:56:45
Inhomogenous Marketing Mix Diffusion,ous) MMD model is an innovation diffusion model, similar to the Bass model, which includes four decision variables (the 4Ps of Marketing: Product, Price, Place, Promotion). We introduce the Inhomogenous MMD (IMMD) model and we conduct two separate experiments: one based on simulation and another one
Vsd168
发表于 2025-3-22 07:30:10
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BURSA
发表于 2025-3-22 12:22:57
,Computing Motifs in Hypergraphs,nal units. Recently, its extraction has been performed on higher-order networks, but due to the complexity arising from polyadic interactions, and the similarity with known computationally hard problems, its practical application is limited. Our main contribution is a novel approach for hyper-subgra
Brochure
发表于 2025-3-22 15:30:58
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Brochure
发表于 2025-3-22 20:16:55
,Expressivity of Geometric Inhomogeneous Random Graphs—Metric and Non-metric,amework for systematic evaluation of the expressivity of random graph models. We extend this framework to Geometric Inhomogeneous Random Graphs (GIRGs). This includes a family of graphs induced by non-metric distance functions which allow capturing more complex models of partial similarity between n
可转变
发表于 2025-3-22 23:29:20
Social Interactions Matter: Is Grey Wolf Optimizer a Particle Swarm Optimization Variation?,ame time, some can resemble similar computational performances regardless of their inspirations. To understand the mechanisms of such similarities, recent works have analyzed and compared swarm-based algorithms via a network based on the information flow shared collectively. Here, we modeled network
GILD
发表于 2025-3-23 05:24:07
,Exploring Ingredient Variability in Classic Russian Cuisine Dishes Through Complex Network Analysislizing a network analysis approach, we scrutinized 460 Olivier salad ingredient lists, alongside 97 vinegret and 127 okroshka ingredient lists, collected through online surveys. The findings highlight the vast diversity and regional variations in ingredient selection, emphasizing the adaptability of
maroon
发表于 2025-3-23 08:16:28
,Unraveling the Structure of Knowledge: Consistency in Everyday Networks, Diversity in Scientific,in the realm of knowledge evolution and organisation. To that end, we look at using concept networks to capture the associations between these concepts as a domain grows. We compare concept networks as they grow for scientific domains, sci-fi literature, common news topics and science news, using Qu