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引用次数: 0
摘要
[Formula: see text]-truss是由Jonathan Cohen于2008年提出的,它被广泛用作内聚子图挖掘的图分析索引。这方面有两个基本问题。一是桁架分解问题,即计算每条边的桁架数;另一个是桁架维护问题,即更新动态图中受影响边的桁架数,同时避免所有边的桁架数重新计算。然而,关于边加权图的结果却很少。本文主要研究边加权图上的桁架维护问题。首先,提出了边权图桁架分解问题的基本算法。在此基础上,提出加权生长潜力支持度(WGPS)和加权剩余潜力支持度(WRPS)两个指标,以帮助寻找其桁架数可能发生变化的边缘。最后,我们提出了边加权图上桁架维护问题的算法。
Algorithms for the Truss Maintenance Problem on Edge-Weighted Graphs
The [Formula: see text]-truss was proposed by Jonathan Cohen in 2008, and it is a widely used as index in graph analysis for cohesive subgraph mining. There are two basic problems in this area. One is the truss decomposition problem, which is to compute the truss number of every edge; the other is the truss maintenance problem, which is to update the truss numbers of the affected edges in a dynamic graph while avoiding the truss number recomputation of all edges. However, few results are known on edge-weighted graphs. In this paper, we focus on the truss maintenance problem on edge-weighted graphs. Firstly, we propose a basic algorithm for the truss decomposition problem on edge-weighted graphs. Then we propose two indices, weighted growth potential support (WGPS) and weighted remaining potential support (WRPS), to help find the edges with potential changes on their truss numbers. Finally, we propose algorithms for the truss maintenance problem on edge-weighted graphs.
期刊介绍:
The International Journal of Foundations of Computer Science is a bimonthly journal that publishes articles which contribute new theoretical results in all areas of the foundations of computer science. The theoretical and mathematical aspects covered include:
- Algebraic theory of computing and formal systems
- Algorithm and system implementation issues
- Approximation, probabilistic, and randomized algorithms
- Automata and formal languages
- Automated deduction
- Combinatorics and graph theory
- Complexity theory
- Computational biology and bioinformatics
- Cryptography
- Database theory
- Data structures
- Design and analysis of algorithms
- DNA computing
- Foundations of computer security
- Foundations of high-performance computing