A large time-aware web graph

Author:

Boldi Paolo1,Santini Massimo1,Vigna Sebastiano1

Affiliation:

1. Università di Milano, Italy

Abstract

We describe the techniques developed to gather and distribute in a highly compressed, yet accessible, form a series of twelve snapshot of the .uk web domain. Ad hoc compression techniques made it possible to store the twelve snapshots using just 1:9 bits per link, with constant-time access to temporal information. Our collection makes it possible to study the temporal evolution link-based scores (e.g., PageRank), the growth of online communities, and in general time-dependent phenomena related to the link structure.

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Management Information Systems

Reference7 articles.

1. UbiCrawler: a scalable fully distributed Web crawler

2. The webgraph framework I

3. Efficient Storage and Retrieval by Content and Address of Static Files

4. R. M. Fano. On the number of bits required to implement an associative memory. Memorandum 61 Computer Structures Group Project MAC MIT Cambridge Mass. n.d. 1971. R. M. Fano. On the number of bits required to implement an associative memory. Memorandum 61 Computer Structures Group Project MAC MIT Cambridge Mass. n.d. 1971.

5. Efficient decoding of prefix codes

Cited by 102 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications;IEEE Transactions on Parallel and Distributed Systems;2024-08

2. Wings: Efficient Online Multiple Graph Pattern Matching;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

3. NewSP: A New Search Process for Continuous Subgraph Matching over Dynamic Graphs;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. Graph Computation with Adaptive Granularity;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

5. WebGraph: The Next Generation (Is in Rust);Companion Proceedings of the ACM Web Conference 2024;2024-05-13

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3