Efficient allocation of heterogeneous response times in information spreading process

被引:27
作者
Cui, Ai-Xiang [1 ]
Wang, Wei [1 ]
Tang, Ming [1 ,2 ]
Fu, Yan [1 ]
Liang, Xiaoming [3 ]
Do, Younghae [4 ]
机构
[1] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Web Sci Ctr, Chengdu 610054, Peoples R China
[2] Kyungpook Natl Univ, Ctr Atmospher Remote Sensing CARE, Taegu 702701, South Korea
[3] Jiangsu Normal Univ, Sch Phys & Elect Engn, Xuzhou 221116, Peoples R China
[4] Kyungpook Natl Univ, Dept Math, Taegu 702701, South Korea
基金
新加坡国家研究基金会;
关键词
COMPLEX NETWORKS; EPIDEMIC; DYNAMICS;
D O I
10.1063/1.4890612
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Recently, the impacts of spatiotemporal heterogeneities of human activities on spreading dynamics have attracted extensive attention. In this paper, we intend to understand how the heterogeneous distribution of response times at the individual level influences information spreading. Based on the uncorrelated scale-free networks without degree-degree correlation, we study the susceptible-infected spreading dynamics with adjustable power-law response time distribution, and find that the stronger the heterogeneity of response times is, the faster the information spreading is in the early and middle stages. Following a given heterogeneity, the procedure of reducing the correlation between the response times and degrees of individuals can also accelerate the spreading dynamics in the early and middle stages. However, the dynamics in the late stage is slightly more complicated, and there is an optimal value of the full prevalence time (i.e., the time for full infection on a network) changing with the heterogeneity of response times and the response time-degree correlation, respectively. The optimal phenomena result from the efficient allocation of heterogeneous response times. (C) 2014 AIP Publishing LLC.
引用
收藏
页数:8
相关论文
共 49 条
  • [1] [Anonymous], 2008, P 17 INT C WORLD WID, DOI DOI 10.1145/1367497.1367620
  • [2] Bansal Shweta, 2010, Journal of Biological Dynamics, V4, P478, DOI 10.1080/17513758.2010.503376
  • [3] The origin of bursts and heavy tails in human dynamics
    Barabási, AL
    [J]. NATURE, 2005, 435 (7039) : 207 - 211
  • [4] Velocity and hierarchical spread of epidemic outbreaks in scale-free networks -: art. no. 178701
    Barthélemy, M
    Barrat, A
    Pastor-Satorras, R
    Vespignani, A
    [J]. PHYSICAL REVIEW LETTERS, 2004, 92 (17) : 178701 - 1
  • [5] Complex networks: Structure and dynamics
    Boccaletti, S.
    Latora, V.
    Moreno, Y.
    Chavez, M.
    Hwang, D. -U.
    [J]. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2006, 424 (4-5): : 175 - 308
  • [6] Boguñá M, 2003, LECT NOTES PHYS, V625, P127
  • [7] Uncovering individual and collective human dynamics from mobile phone records
    Candia, Julian
    Gonzalez, Marta C.
    Wang, Pu
    Schoenharl, Timothy
    Madey, Greg
    Barabasi, Albert-Laszlo
    [J]. JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2008, 41 (22)
  • [8] Generation of uncorrelated random scale-free networks -: art. no. 027103
    Catanzaro, M
    Boguñá, M
    Pastor-Satorras, R
    [J]. PHYSICAL REVIEW E, 2005, 71 (02)
  • [9] Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks
    Cattuto, Ciro
    Van den Broeck, Wouter
    Barrat, Alain
    Colizza, Vittoria
    Pinton, Jean-Francois
    Vespignani, Alessandro
    [J]. PLOS ONE, 2010, 5 (07):
  • [10] Cohen J.E, 1992, Infectious Diseases of Humans: Dynamics and Control, V268, P3381