標題: Titlebook: Complex Networks XV; Proceedings of the 1 Federico Botta,Mariana Macedo,Ronaldo Menezes Conference proceedings 2024 The Editor(s) (if appli [打印本頁] 作者: cerebral-cortex 時間: 2025-3-21 17:06
書目名稱Complex Networks XV影響因子(影響力)
書目名稱Complex Networks XV影響因子(影響力)學科排名
書目名稱Complex Networks XV網(wǎng)絡(luò)公開度
書目名稱Complex Networks XV網(wǎng)絡(luò)公開度學科排名
書目名稱Complex Networks XV被引頻次
書目名稱Complex Networks XV被引頻次學科排名
書目名稱Complex Networks XV年度引用
書目名稱Complex Networks XV年度引用學科排名
書目名稱Complex Networks XV讀者反饋
書目名稱Complex Networks XV讀者反饋學科排名
作者: GET 時間: 2025-3-21 22:01 作者: 假裝是我 時間: 2025-3-22 00:56
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作者: Vsd168 時間: 2025-3-22 07:30 作者: BURSA 時間: 2025-3-22 12:22
,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作者: Brochure 時間: 2025-3-22 15:30 作者: Brochure 時間: 2025-3-22 20:16
,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作者: 可轉(zhuǎn)變 時間: 2025-3-22 23:29
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作者: GILD 時間: 2025-3-23 05:24
,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作者: maroon 時間: 2025-3-23 08:16
,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作者: Exclaim 時間: 2025-3-23 11:29
Kinematic-Based Force-Directed Graph Embedding,ow-dimensional space, graph embedding enables efficient graph processing and analysis tasks like node classification, link prediction, and visualization. In this paper, we propose and provide proof of convergence for a novel graph embedding paradigm where nodes are assumed to possess mass and a kine作者: pulse-pressure 時間: 2025-3-23 16:51
,Deep Graph Machine Learning Models for?Epidemic Spread Prediction and?Prevention,ption of the appropriate safety measures and actions should also take into account other societal challenges, such as the impact on the local economy or the psychological strain on its inhabitants. Recent approaches for preventing an epidemic spread have led to the adoption of rather aggressive stra作者: TERRA 時間: 2025-3-23 21:00 作者: 含鐵 時間: 2025-3-24 00:01 作者: violate 時間: 2025-3-24 03:03
,Edge Dismantling with?Geometric Reinforcement Learning,maximize damage, is a known NP-hard problem. While heuristics for node removal exist, edge network dismantling, especially in real-world scenarios like power grids or transportation networks, remains underexplored. This paper introduces eGDM-RL, a novel framework for edge dismantling based on Geomet作者: –吃 時間: 2025-3-24 07:58
,Public Transit Inequality in?the?Context of?the?Built Environment,planners, alike, have stressed the importance of improving transit service for all. This entails ensuring that vulnerable demographics are not neglected as urban planning shifts towards more sustainable modes. Research in transport justice reveals the concentration of economically vulnerable individ作者: 鬧劇 時間: 2025-3-24 13:59
Conference proceedings 2024 or perhaps the reason is that it finds the perfect balance between young and senior participation, a balance in the demographics of the presenters, or perhaps it is just the quality of the work presented. .作者: 受人支配 時間: 2025-3-24 18:23
Theoretical and Experimental Principles,ing important entities, we evaluate the impact of relation extraction errors on the identification of central nodes in several real and synthetic networks. The impact of these errors varies significantly by graph topology, suggesting that confidence in measurements based on automatically extracted r作者: 運氣 時間: 2025-3-24 21:56 作者: LAVE 時間: 2025-3-25 01:07
Theoretical and Experimental Principles,ted to semiconductors and minerals relevant to energy storage, namely lithium and graphite, both relevant sectors for the energy transition, and, employing our novel approach, we uncover recent trends in these markets.作者: 裝勇敢地做 時間: 2025-3-25 07:20
Theoretical and Experimental Principles,dence that GIRGs are more realistic candidates with respect to various graph features such as closeness centrality, betweenness centrality, local clustering coefficient, and graph effective diameter, while they face difficulties to replicate higher variance and more extreme values of graph statistic作者: eucalyptus 時間: 2025-3-25 11:05
Theoretical and Experimental Principles,and ingredient list construction. By mapping out the complex relationships between ingredients and ingredient lists, this study provides valuable insights into the culinary practices surrounding these beloved Russian dishes, contributing to the broader understanding of food culture and tradition in 作者: 龍蝦 時間: 2025-3-25 12:03
Theoretical and Experimental Principles,ain the acceleration of each node. The method is intuitive, parallelizable, and highly scalable. We evaluate our method on several graph analysis tasks and show that it achieves competitive performance compared to state-of-the-art unsupervised embedding techniques.作者: 進步 時間: 2025-3-25 17:28 作者: 值得 時間: 2025-3-25 23:12 作者: sebaceous-gland 時間: 2025-3-26 02:11 作者: 潛移默化 時間: 2025-3-26 05:54 作者: 因無茶而冷淡 時間: 2025-3-26 08:44
Extending Network Tools to Explore Trends in Temporal Granular Trade Networks,ted to semiconductors and minerals relevant to energy storage, namely lithium and graphite, both relevant sectors for the energy transition, and, employing our novel approach, we uncover recent trends in these markets.作者: 鴿子 時間: 2025-3-26 13:03
,Expressivity of Geometric Inhomogeneous Random Graphs—Metric and Non-metric,dence that GIRGs are more realistic candidates with respect to various graph features such as closeness centrality, betweenness centrality, local clustering coefficient, and graph effective diameter, while they face difficulties to replicate higher variance and more extreme values of graph statistic作者: 艱苦地移動 時間: 2025-3-26 17:15 作者: BLANK 時間: 2025-3-27 00:12
Kinematic-Based Force-Directed Graph Embedding,ain the acceleration of each node. The method is intuitive, parallelizable, and highly scalable. We evaluate our method on several graph analysis tasks and show that it achieves competitive performance compared to state-of-the-art unsupervised embedding techniques.作者: FRONT 時間: 2025-3-27 03:04 作者: MAIM 時間: 2025-3-27 07:57 作者: 大洪水 時間: 2025-3-27 10:36 作者: 預定 時間: 2025-3-27 14:28 作者: 皮薩 時間: 2025-3-27 19:45
https://doi.org/10.1007/978-3-031-57515-0Conference Proceedings; Graph Theory; Complex Systems; Computer Science; Data Science; Social Networks; Ne作者: chalice 時間: 2025-3-27 22:38 作者: 高貴領(lǐng)導 時間: 2025-3-28 02:49 作者: inspired 時間: 2025-3-28 08:16 作者: 混亂生活 時間: 2025-3-28 11:38
https://doi.org/10.1007/978-3-662-03377-7ous) 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作者: 強行引入 時間: 2025-3-28 15:29 作者: Narrative 時間: 2025-3-28 21:27
Theoretical and Experiment Principles,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作者: 女上癮 時間: 2025-3-29 00:52
Theoretical and Experimental Principles,, more in general, for their impact in the geopolitical sphere. Many studies try to understand the determinants and dynamics of trade flows. However, only a few have leveraged the growing availability of granular data to consistently analyze specific sectors of the economy and address the challenges作者: Harridan 時間: 2025-3-29 05:53
Theoretical and Experimental Principles,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作者: 人類 時間: 2025-3-29 07:58
Theoretical and Experimental Principles,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作者: tangle 時間: 2025-3-29 13:15 作者: 背帶 時間: 2025-3-29 16:15
https://doi.org/10.1007/978-3-540-70708-0in 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作者: squander 時間: 2025-3-29 22:48 作者: 不自然 時間: 2025-3-30 01:02 作者: Inferior 時間: 2025-3-30 05:29 作者: 防銹 時間: 2025-3-30 10:58
Wafa Achouak,Feth el Zahar Haicharibution of this work focuses on appraising the interpretability of another rarely-exploited feature of node embeddings increasingly utilised in recommendation and consumption diversity studies: inter-node embedded distances. Introducing a new method to measure how understandable the distances betwee作者: 煉油廠 時間: 2025-3-30 15:10 作者: neoplasm 時間: 2025-3-30 17:58
https://doi.org/10.1007/978-1-4939-9721-3planners, alike, have stressed the importance of improving transit service for all. This entails ensuring that vulnerable demographics are not neglected as urban planning shifts towards more sustainable modes. Research in transport justice reveals the concentration of economically vulnerable individ作者: Ingenuity 時間: 2025-3-30 21:32
,Computing Motifs in?Hypergraphs,ph census and higher-order motif discovery, allowing for motifs with sizes 3 or 4 to be found efficiently, in real-world scenarios. It is consistently an order of magnitude faster than a baseline state-of-art method, while using less memory and supporting a wider range of base algorithms.作者: aspect 時間: 2025-3-31 02:07
,Unraveling the?Structure of?Knowledge: Consistency in?Everyday Networks, Diversity in?Scientific,antum Spectral Jensen-Shannon Divergence, to evaluate how consistent their network structures are at their early stages. We find that everyday concept networks tend to be more consistent with each other, whereas scientific networks are less consistent and we discuss the potential factors influencing the structures of these networks.作者: 內(nèi)行 時間: 2025-3-31 05:20 作者: 過剩 時間: 2025-3-31 12:46
