Topology, robustness, and structural controllability of the Brazilian Federal Police criminal intelligence network [0.03%]
巴西联邦警察犯罪情报网络的拓扑性、鲁棒性和结构性可控性
Bruno Requião da Cunha,Sebastián Gonçalves
Bruno Requião da Cunha
Law enforcement and intelligence agencies worldwide struggle to find effective ways to fight organized crime and reduce criminality. However, illegal networks operate outside the law and much of the data collected is classified. Therefore, ...
Applications of node-based resilience graph theoretic framework to clustering autism spectrum disorders phenotypes [0.03%]
基于节点的弹性图论框架在孤独症表型聚类中的应用
John Matta,Junya Zhao,Gunes Ercal et al.
John Matta et al.
With the growing ubiquity of data in network form, clustering in the context of a network, represented as a graph, has become increasingly important. Clustering is a very useful data exploratory machine learning tool that allows us to make ...
Impact investing market on Twitter: influential users and communities [0.03%]
推特上的影响力投资者社群：影响者用户及社区簇群分布分析
Petra Kralj Novak,Luisa De Amicis,Igor Mozetič
Petra Kralj Novak
The 2008 financial crisis unveiled the intrinsic failures of the financial system as we know it. As a consequence, impact investing started to receive increasing attention, as evidenced by the high market growth rates. The goal of impact in...
Comparison of physician networks constructed from thresholded ties versus shared clinical episodes [0.03%]
基于阈值化联系与共享临床事件构建的医师网络的比较分析
Jukka-Pekka Onnela,A James O&#x;Malley,Nancy L Keating et al.
Jukka-Pekka Onnela et al.
Objective: To compare standard methods for constructing physician networks from patient-physician encounter data with a new method based on clinical episodes of care. ...
Daniele Cassese
Daniele Cassese
The replicator equation is one of the fundamental tools to study evolutionary dynamics in well-mixed populations. This paper contributes to the literature on evolutionary graph theory, providing a version of the replicator equation for a fa...
Meisam Akbarzadeh,Syed Sina Mohri,Ehsan Yazdian
Meisam Akbarzadeh
In this paper, a novel method is proposed for designing a bike network in urban areas. Based on the number of taxi trips within an urban area, a weighted network is abstracted. In this network, nodes are the origins and destinations of taxi...
Raphaël Ceré,Mattia Egloff
Raphaël Ceré
We propose and illustrate an approach of Soft Textual Cartography consisting in the clustering of regions by taking into account both their spatial relationships and their textual description within a corpus. We reduce large geo-referenced ...
The gravity of an edge [0.03%]
边的权重性
Mary E Helander,Sarah McAllister
Mary E Helander
We describe a methodology for characterizing the relative structural importance of an arbitrary network edge by exploiting the properties of a k-shortest path algorithm. We introduce the metric Edge Gravity, measuring how often an edge occu...
Matthew R Karlsen,Sotiris Moschoyiannis
Matthew R Karlsen
In this paper we describe the application of a learning classifier system (LCS) variant known as the eXtended classifier system (XCS) to evolve a set of 'control rules' for a number of Boolean network instances. We show that (1) it is possi...
Community evolution in patent networks: technological change and network dynamics [0.03%]
专利网络中的社区演化：技术变革与网络动力学
Yuan Gao,Zhen Zhu,Raja Kali et al.
Yuan Gao et al.
When studying patent data as a way to understand innovation and technological change, the conventional indicators might fall short, and categorizing technologies based on the existing classification systems used by patent authorities could ...