Analyzing large scale exchange networks

被引:2
|
作者
Willer, David [1 ]
van Assen, Marcel A. L. M. [2 ]
Emanuelson, Pamela [3 ]
机构
[1] Univ S Carolina, Dept Sociol, Columbia, SC 29208 USA
[2] Tilburg Univ, Dept Methodol & Stat, Sch Social & Behav Sci, Tilburg, Netherlands
[3] N Dakota State Univ, Dept Sociol & Anthropol, Fargo, ND USA
关键词
Networks; Subnetworks; Exchange; Power; POWER; MODEL; PREDICTIONS;
D O I
10.1016/j.socnet.2011.11.001
中图分类号
Q98 [人类学];
学科分类号
030303 ;
摘要
Exchange theories or their implementations in algorithms have limited utility because they can be applied only to quite small networks. They cannot be applied to larger networks until that size limit is removed. Domain Analysis cuts networks into smaller pieces at the boundaries of strong power domains. Domain Analysis identifies strong power and breaks, and distinguishes domains that function exactly as they would were they free-standing, and components that do not. Support for the finding of breaks and the distinction between domains and components are obtained using both experimental data and simulations based on X-Net. To illustrate the use of Domain Analysis, it is applied to find the incidence of strong power in large exchange networks. The application shows that the incidence of strong power decreases as network density increases, and that strong power occurs only infrequently in dense networks. We conclude by calling for ever more general analytic procedures. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:171 / 180
页数:10
相关论文
共 50 条
  • [31] Experience Analyzing Wind Data for Large-Scale Integration
    Gao Zhi
    Ren Chang
    Freeman, Lavelle A.
    Miller, Nicholas W.
    Shao Miaolei
    9TH INTERNATIONAL WORKSHOP ON LARGE-SCALE INTEGRATION OF WIND POWER INTO POWER SYSTEMS AS WELL AS ON TRANSMISSION NETWORKS FOR OFFSHORE WIND POWER PLANTS, 2010, : 686 - +
  • [32] Analyzing and Reducing the Impact of Traffic on Large-Scale NAT
    Kawahara, Ryoichi
    Mori, Tatsuya
    Yada, Takeshi
    Kamiyama, Noriaki
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2012, E95B (09) : 2815 - 2827
  • [33] Analyzing Large-Scale Crowd Simulations for Building Evacuation
    Garcia-Cabrera, Carlos
    Morillo, Pedro
    Orduna, Juan M.
    TRENDS IN PRACTICAL APPLICATIONS OF AGENTS AND MULTIAGENT SYSTEMS, 2010, 71 : 591 - 598
  • [34] Amadeus: Accessing and analyzing large scale environmental data in R
    Manware, Mitchell
    Song, Insang
    Marques, Eva S.
    Kassien, Mariana Alifa
    Clark, Lara P.
    Messier, Kyle P.
    ENVIRONMENTAL MODELLING & SOFTWARE, 2025, 186
  • [35] Analyzing large-scale imprecise concurrent engineering systems
    Wu, Tong
    O'Grady, Peter
    Journal of the Chinese Institute of Industrial Engineers, 2003, 20 (03): : 203 - 216
  • [36] Using data on communications traffic in a new approach to analyzing large-scale social networks and user-dynamics
    Aida, M
    Ishibashi, K
    Takano, C
    Miwa, H
    2004 47TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL II, CONFERENCE PROCEEDINGS, 2004, : 485 - 488
  • [37] Analyzing peer-to-peer traffic across large networks
    Sen, S
    Wang, J
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2004, 12 (02) : 219 - 232
  • [38] Functional Map Networks for Analyzing and Exploring Large Shape Collections
    Huang, Qixing
    Wang, Fan
    Guibas, Leonidas
    ACM TRANSACTIONS ON GRAPHICS, 2014, 33 (04):
  • [39] EFFICIENT QUANTUM ALGORITHMS FOR ANALYZING LARGE SPARSE ELECTRICAL NETWORKS
    Wang, Guoming
    QUANTUM INFORMATION & COMPUTATION, 2017, 17 (11-12) : 987 - 1026
  • [40] Anthropology - Analyzing large kinship and marriage networks with Pgraph and Pajek
    White, DR
    Batagelj, V
    Mrvar, A
    SOCIAL SCIENCE COMPUTER REVIEW, 1999, 17 (03) : 245 - 274