generic 发表于 2025-3-25 07:09:38
Fritz-Walter-Stadion Kaiserslautern,pergraph-of-entity, finding that hyperedge-based node degrees are distributed as a power law, while node-based node degrees and hyperedge cardinalities are log-normally distributed. We also find that most statistics tend to converge after an initial period of accentuated growth in the number of documents.abstemious 发表于 2025-3-25 10:00:00
http://reply.papertrans.cn/24/2316/231507/231507_22.png大笑 发表于 2025-3-25 13:35:45
http://reply.papertrans.cn/24/2316/231507/231507_23.pngENACT 发表于 2025-3-25 16:19:09
http://reply.papertrans.cn/24/2316/231507/231507_24.png悦耳 发表于 2025-3-25 22:42:39
Spheres of Legislation: Polarization and Most Influential Nodes in Behavioral Contextparticular, we show that game-theoretic notion of most influential nodes brings out the strategic aspects of interactions like bipartisan grouping, which typical centrality measures fail to capture. We also show that for the same set of senators, some spheres of legislation are more polarizing thanendure 发表于 2025-3-26 03:55:38
http://reply.papertrans.cn/24/2316/231507/231507_26.pngacrimony 发表于 2025-3-26 04:23:09
http://reply.papertrans.cn/24/2316/231507/231507_27.pngLiving-Will 发表于 2025-3-26 08:59:13
Characterizing Large Scale Land Acquisitions Through Network Analysiscollected in the Land Matrix database comes from heterogeneous sources such as press articles, government data, individual contributions and scientific publications. In this work, we focus on a land trade network built upon the Land Matrix data about top companies and target countries related to eac终点 发表于 2025-3-26 14:08:48
1860-949X ications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks..978-3-030-36685-8978-3-030-36683-4Series ISSN 1860-949X Series E-ISSN 1860-9503窗帘等 发表于 2025-3-26 20:45:47
Fritz-Walter-Stadion Kaiserslautern,inguish positive and negative interactions. The proposed visualization method has characteristics desirable in a variety of network analysis tasks: . is able to provide indications of balance/polarization of the whole network and of each node, to identify two factions of nodes on the basis of their