Exploration of Web Page Structural Patterns Based on Request Dependency Graph Decomposition

Cheng Fang; Bo Ya Liu

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Exploration of Web Page Structural Patterns Based on Request Dependency Graph Decomposition

机译：基于请求依赖图分解的网页结构模式探索

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This article first proposed a Bipartite Request Dependency Graph (BRDG) that describes the object-level interrelationships between user click requests and embedded web object requests. These two kinds of requests are classified from HTTP data by an identification algorithm. The interrelationships between user click requests and embedded web object reflect the web page structural, which contain latent web information. Exploring structural patterns is crucial for many aspects like web security analysis and web information visualization. Accordingly, the article also proposed a novel graph decomposition method called orthogonal nonnegative matrix tri-factorization (tNMF) to the BRDG. Compared to traditional web graph analysis focus on statistical and structural properties of the whole graph, the proposed method is dedicated to mine latent web structural patterns. Decomposition results demonstrate that several interesting structures exist in the BRDG. The article aims at classifying these subgraphs as several structural patterns and shedding light on the causes of these patterns.

机译：本文首先提出了一个双向请求依赖图（BRDG），该图描述了用户点击请求和嵌入式Web对象请求之间的对象级相互关系。通过识别算法从HTTP数据对这两种请求进行分类。用户点击请求和嵌入式Web对象之间的相互关系反映了包含潜在Web信息的Web页面结构。对于许多方面，例如网络安全分析和网络信息可视化，探索结构模式至关重要。因此，本文还为BRDG提出了一种称为正交非负矩阵三因子分解（tNMF）的新图分解方法。相对于传统的网络图分析，重点放在整个图的统计和结构特性上，该方法专用于挖掘潜在的网络图结构。分解结果表明，BRDG中存在一些有趣的结构。本文旨在将这些子图分类为几种结构模式，并阐明这些模式的原因。

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《International journal of digital crime and forensics》 |2016年第4期|1-13|共13页
作者
Cheng Fang; Bo Ya Liu;
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作者单位

Beijing University of Post and Telecommunications, Beijing, China;

Beijing University of Post and Telecommunications, Beijing, China;

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原文格式 PDF
正文语种 eng
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关键词
Bipartite Request Dependency Graph (BRDG); Graph Decomposition; Internet; Web Information Visualization; Web Page Structural;

机译：双向请求依赖图（BRDG）;图分解互联网;Web信息可视化;网页结构;

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7. ACC/ACP/SCAI/SVMB/SVS clinical competence statement on vascular medicine and catheter-based peripheral vascular interventions11When citing this document, the American College of Cardiology, American College of Physicians, Society for Cardiovascular Angiography and Interventions, Society for Vascular Medicine and Biology, and the Society for Vascular Surgery would appreciate the following citation format: Creager MA, Goldstone J, Hirshfeld JW, Kazmers A, Kent KC, Lorell BH, Olin JW, Pauly RR, Rosenfield K, Roubin GS, Sicard GA, and White CJ. ACC/ACP/SCAI/SVMB/SVS clinical competence statement on vascular medicine and catheter-based peripheral vascular interventions: a report of the American College of Cardiology/American Heart Association/American College of Physicians Task Force on Clinical Competence (ACC/ACP/SCAI/SVMB/SVS Writing Committee on Clinical Competence on Peripheral Vascular Disease). J Am Coll Cardiol 2004;44:941–57.33copies: this document is available on the world wide web sites of the american college of cardiology (www.acc.org), american college of physicians (www.acponline.org), society for cardiovascular angiography and interventions (www.scai.org), society for vascular medicine and biology (www.svmb.org), and the society for vascular surgeons (www.vascularweb.org). single copies of this document may be purchased for $10.00 by calling 1-800-253-4636 or by writing to the american college of cardiology, educational services, 9111 old georgetown road, bethesda, maryland 20814-1699. permissions: multiple copies, modification, alteration, enhancement, and/or distribution of this document are not permitted without the express permission of the american college of cardiology foundation. please direct requests to copyright_permissions@acc.org. A report of the american college of cardiology/american heart association/american college of physicianstask force on clinical competence (acc/acp/scai/svmb/svs writing committee to develop a clinical competence statement on peripheral vascular disease) [O] . Creager Mark A., Goldstone Jerry, Hirshfeld John W., 2004

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机译：基于图的结构模式学习

Exploration of Web Page Structural Patterns Based on Request Dependency Graph Decomposition

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