On the effect of very large nodes in Internet graphs

被引:0
|
作者
Reittu, H [1 ]
Norros, I [1 ]
机构
[1] VTT Informat Technol, FIN-02044 Espoo, Finland
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We analyse a random graph where the node degrees are (almost) independent and have a distribution with finite mean but infinite variance - a region observed in empirical studies of the Internet. We show that the existence of very large nodes has a great influence on the connectivity. If N denotes the number of nodes, it seems that the distance between two randomly chosen nodes of the giant component grows as slowly as log log(N). The essential observation is that very large nodes form a spontaneously arising "core network", which plays a crucial role in the connectivity, although Its proportional size goes to zero as N --> infinity. Several results related to the core are proven rigorously, and a sketch of a full proof is given. Some simulations providing illustration of the findings are presented. Consequences of the results are discussed.
引用
收藏
页码:2624 / 2628
页数:5
相关论文
共 50 条
  • [1] PROGRAMMING WITH VERY LARGE GRAPHS
    BAILEY, DA
    CUNY, JE
    FISHER, CD
    LECTURE NOTES IN COMPUTER SCIENCE, 1991, 532 : 84 - 97
  • [2] Ranking on Very Large Knowledge Graphs
    Desouki, Abdelmoneim Amer
    Roeder, Michael
    Ngomo, Axel-Cyrille Ngonga
    PROCEEDINGS OF THE 30TH ACM CONFERENCE ON HYPERTEXT AND SOCIAL MEDIA (HT '19), 2019, : 163 - 171
  • [3] GRAPHS ON UNLABELED NODES WITH A LARGE NUMBER OF EDGES
    WRIGHT, EM
    PROCEEDINGS OF THE LONDON MATHEMATICAL SOCIETY, 1974, 28 (JUN) : 577 - 594
  • [4] Very large conferences on the Internet: the Internet multimedia conferencing architecture
    Handley, M
    Crowcroft, J
    Bormann, C
    Ott, J
    COMPUTER NETWORKS, 1999, 31 (03) : 191 - 204
  • [5] Efficient Estimation of Triangles in Very Large Graphs
    Etemadi, Roohollah
    Lu, Jianguo
    Tsin, Yung H.
    CIKM'16: PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, 2016, : 1251 - 1260
  • [6] NicheWorks - Interactive visualization of very large graphs
    Wills, GJ
    JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 1999, 8 (02) : 190 - 212
  • [7] SEARCHING CONNECTED COMPONENTS IN VERY LARGE GRID GRAPHS
    ABRAMOWSKI, S
    MULLER, H
    LECTURE NOTES IN COMPUTER SCIENCE, 1987, 246 : 118 - 130
  • [8] Scalable Join Processing on Very Large RDF Graphs
    Neumann, Thomas
    Weikum, Gerhard
    ACM SIGMOD/PODS 2009 CONFERENCE, 2009, : 627 - 639
  • [9] A Reduction based Method for Coloring Very Large Graphs
    Lin, Jinkun
    Cai, Shaowei
    Luo, Chuan
    Su, Kaile
    PROCEEDINGS OF THE TWENTY-SIXTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, : 517 - 523
  • [10] Graphon Filters: Signal Processing in Very Large Graphs
    Ruiz, Luana
    Chamon, Luiz F. O.
    Ribeiro, Alejandro
    28TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2020), 2021, : 1050 - 1054