Forbidden patterns in temporal graphs resulting from encounters in a corridor

IF 0.9 3区 计算机科学 Q1 BUSINESS, FINANCE
Mónika Csikós , Michel Habib , Minh-Hang Nguyen , Mikaël Rabie , Laurent Viennot
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引用次数: 0

Abstract

In this paper, we study temporal graphs arising from 1 dimensional mobility models, where vertices correspond to agents moving on a line and edges appear each time two agents meet. If each pair of agents meets exactly once, we get a simple temporal clique. In order to characterize such temporal cliques, we introduce the notion of forbidden patterns in temporal graphs. We extend the forbidden pattern characterization to simple mobility graphs (where each edge appears at most once) and to the analogous circular problem, where agents are moving along a circle. We also study the problem where pairs of agents are allowed to cross each other several times, using an approach from automata theory. We observe that in this case, there is no finite set of forbidden patterns that characterize such temporal graphs, nevertheless provide a linear time algorithm to recognize them.
在走廊中遇到的时间图形中被禁止的模式
在本文中,我们研究了由一维移动模型产生的时间图,其中顶点对应于在一条线上移动的智能体,每当两个智能体相遇时就会出现边缘。如果每对特工正好相遇一次,我们就得到了一个简单的暂时集团。为了描述这种时间团,我们在时间图中引入了禁止模式的概念。我们将禁止模式特征扩展到简单的迁移图(其中每个边最多出现一次)和类似的圆形问题,其中智能体沿着一个圆移动。我们还使用自动机理论中的一种方法,研究了允许智能体对相互交叉多次的问题。我们观察到,在这种情况下,没有有限的禁止模式集来表征这种时间图,然而提供了一个线性时间算法来识别它们。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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