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Advances in Complex Systems最新文献

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The Backbone of the Financial Interaction Network using a Maximum Entropy Distribution 基于最大熵分布的金融交互网络骨干
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-07-30 DOI: 10.1142/s0219525922500060
Mauricio A. Valle, F. Urbina
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引用次数: 1
The Enigmatic Fráoch and his eponymous Tale - Network Analysis of an Early Irish Heroic Romance 神秘的Fráoch和他的同名故事-早期爱尔兰英雄浪漫的网络分析
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-07-20 DOI: 10.1142/s0219525922400069
Madeleine Janickyj, Dan Curley, Pádraig MacCarron, M. McCarthy, Joseph Yose, R. Kenna
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引用次数: 0
Networks, Heterogeneity and Evolution in Economics: a Short Review 经济学中的网络、异质性与演化:综述
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-07-20 DOI: 10.1142/s0219525922020015
Leonardo Bargigli, G. Ricchiuti
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引用次数: 0
Sectoral Market Power in Global production: a Theoretical and Observational Study 全球生产中的部门市场力量:理论与观察研究
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-07-13 DOI: 10.1142/s0219525922400057
Panagiotis (Takis) Iliopoulos, G. Galanis, Ashok Kumar, Lilit Popoyan
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引用次数: 0
Forking Paths of Cultural Complexity: a Case Study of Research Paradigms 文化复杂性的分叉路径:研究范式的个案研究
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-06-24 DOI: 10.1142/s0219525922400045
J. Borycz, Benjamin D. Horne, R. Bentley
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引用次数: 0
Risk Contagion due to Overlapping Portfolios with Leverage Decision 重叠投资组合与杠杆决策的风险传染
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-06-24 DOI: 10.1142/s0219525921500181
Ziyan Zhu, Xiaoxing Liu
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引用次数: 0
Complex Network Analysis of a Graphic Novel: The Case of the Bande Dessinée Thorgal 漫画小说的复杂网络分析:以《Bande dessinsame Thorgal》为例
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-06-17 DOI: 10.1142/S0219525922400033
Vincent Labatut
The task of extracting and analyzing character networks from works of fiction, such as novels and movies, has been the object of a number of recent publications. However, only a very few of them focus on graphic novels, and even fewer on European graphic novels. In this article, we focus on Thorgal, a bande dessin{'e}e, i.e. a comic of the French-Belgian tradition. We manually annotate all the volumes of this series, in order to constitute a corpus allowing us to extract its character network. We perform a descriptive analysis of the network structure and compare it to real-world and fictional social networks. We also study the effect of character filtering over the network structure. Finally, we leverage complex network analysis tools to answer two research questions from the literature, related to the similarity between Thorgal and the Saga of Icelanders; and to the position of women in the series. Our data and source code are both publicly available online.
从小说和电影等小说作品中提取和分析人物网络的任务,一直是最近许多出版物的目标。然而,只有极少数人关注漫画小说,欧洲漫画小说就更少了。在这篇文章中,我们集中在Thorgal,一个乐队设计{'e},即法国-比利时传统的喜剧。我们手动注释该系列的所有卷,以构成一个语料库,使我们能够提取其字符网络。我们对网络结构进行了描述性分析,并将其与现实世界和虚构的社会网络进行了比较。我们还研究了字符过滤对网络结构的影响。最后,我们利用复杂的网络分析工具来回答文献中的两个研究问题,这两个问题与Thorgal和冰岛人的传奇之间的相似性有关;以及女性在系列赛中的地位。我们的数据和源代码都在网上公开。
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引用次数: 3
Charting a Course for "Complexity": Metamodeling, Ruliology and More 绘制“复杂性”课程:元建模、规则学等
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-06-15 DOI: 10.25088/complexsystems.31.2.165
S. Wolfram
This is the first of a series of pieces I’m planning in connection with the upcoming 20th anniversary [1] of the publication of A New Kind of  Science [2] (September 23, 2021).
这是我为迎接即将到来的《一种新科学》(2021年9月23日)出版20周年而计划的系列文章中的第一篇。
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引用次数: 0
Cultivating the Garden of Eden 培育伊甸园
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-06-15 DOI: 10.25088/complexsystems.32.1.1
R. Beer
Garden of Eden (GOE) states in cellular automata are grid configurations that have no precursors; that is, they can only occur as initial conditions. Finding individual configurations that minimize or maximize some criterion of interest (e.g., grid size, density, etc.) has been a popular sport in recreational mathematics, but systematic studies of the set of GOEs for a cellular automaton have been rare. This paper presents the current results of an ongoing computational study of GOE configurations in Conway’s Game of Life (GoL) cellular automaton. Specifically, we describe the current status of a map of the layout of GOEs and non-GOEs in 1-density/size space, characterize how the density-dependent structure of the number of precursors varies with increasing grid size as we approach the point where GOEs begin to occur, provide a catalog of all known GOE configurations up to a grid size of 11×11, and initiate a study of the structure of the network of constraints that characterize GOE versus non-GOE configurations.
元胞自动机中的伊甸园(GOE)状态是没有前体的网格配置;也就是说,它们只能作为初始条件出现。寻找最小化或最大化某些感兴趣的标准(例如,网格大小,密度等)的单个配置一直是休闲数学中的流行运动,但对元胞自动机的go集的系统研究很少。本文介绍了在Conway的生命游戏(GoL)元胞自动机中正在进行的GOE配置计算研究的当前结果。具体地说,我们描述的当前状态的地图去non-GOEs 1-density /大小的布局空间,描述如何前体的数量的密度制约的结构随增加网格大小随着我们方法的地方开始出现,提供了一个目录的所有已知的通用配置11×11的网格大小,并发起一项研究的约束网络的结构描述横过和non-GOE配置。
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引用次数: 0
Graph Matching with Distance-Preserving Crossover 基于距离保持交叉的图匹配
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-06-15 DOI: 10.25088/complexsystems.31.2.219
Thomas Bärecke, Marcin Detyniecki
Graph models are fundamental to any kind of application on structured real-world problems. Any comparison between graphs by a graph distance measure requires the solution of the inexact graph matching problem, which constitutes a hard combinatorial optimization problem. An inexact matching problem includes in its formulation robustness to any type of perturbation, such as, for instance, noise, inherently present in real-world environments. In this paper, we introduce the concept of distance-preserving crossover operators for genetic algorithms for this task. For large graphs, our algorithm outperforms any state-of-the-art approximate algorithm—in particular, genetic algorithms with alternative crossover operators, which are to the best of our knowledge currently limited to no more than 50 nodes. We use a two-level local search heuristic to further enhance the results, pushing the limits to up to 300 nodes: a first local search step is directly integrated into the crossover operator; another one is applied independently during offspring generation.
图模型是处理结构化现实问题的任何类型的应用程序的基础。任何用图距离度量进行图间比较都需要解决不精确图匹配问题,这是一个难于组合优化的问题。不精确匹配问题包括其公式对任何类型的扰动的鲁棒性,例如,在现实世界环境中固有存在的噪声。在本文中,我们为遗传算法引入了距离保持交叉算子的概念。对于大型图,我们的算法优于任何最先进的近似算法,特别是具有替代交叉算子的遗传算法,据我们所知,这些算法目前限制在不超过50个节点。我们使用两级局部搜索启发式来进一步增强结果,将限制推到300个节点:第一个局部搜索步骤直接集成到交叉算子中;另一种是在子代中独立应用的。
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引用次数: 0
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