Abstract
Although people have the characteristics of group movement in their daily life, they are not distributed in a single local-world. People from different regions are connected with each other for many reasons, such as work and study. Therefore, on the basis of a local-world evolving network model, we propose and study a network model with the concept of multi-local world connectivity, which simulates Human Daily multi-workspace and multi-residential areas. In addition, the statistical characteristics of its complex networks are analyzed by simulation experiments.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Duncan, J.: Watts: the new science of networks. Ann. Rev. Sociol. 30, 243–270 (2004)
Dorogovtsev, S.N., Mendes, J.F.: Evolution of Networks (2003)
Strogatz, S.H.: Exploring complex networks. Nature 410, 268–276 (2001)
Barabási, A.-L.: The new science of networks. Phys. Today 6(5), 243–270 (2003)
Albert, R., Barabási, A.L.: Statistical mechanics of complex networks. Rev. Mod. Phys. 26(1), xii (2002)
Erdos, P.: On the evolution of random graphs. Trans. Am. Math. Soc. 286(1), 257–274 (2011)
Bandyopadhyay, S., Coyle, E., Falck, T.: Stochastic properties of mobility models in mobile ad hoc networks. IEEE Trans. Mob. Comput. 6(11), 1218–1229 (2007)
Johnson, D.B., Maltz, D.A.: Dynamic source routing in ad hoc wireless networks. Mob. Comput. 353(1), 153–181 (1999)
Campos, C.A.V., Otero, D.C., De Moraes, L.F.M.: Realistic individual mobility Markovian models for mobile ad hoc networks. In: IEEE WCNC 2004, pp. 1980–1985 (2004)
Dan, X., Xiang, L., Xiaofan, W.: Virus transmission and immune control in local complex networks. Control Decis.- Making 21(7), 817–820 (2006)
Si, T., Huijia, L., Yue, Z.: Analysis of a new multi-local world network model. Comput. Appl. Res. 30(3), 869–872 (2013)
Barabási, A.L., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509–512 (1999)
Barabási, A.L., Bonabeau, E.: Scale-free networks. Sci. Am. 288(5), 60 (2003)
Li, X., Chen, G.: A local-world evolving network model. Phys. A 328(1–2), 274–286 (2003)
Pal, R., Prakash, A., Tripathi, R., et al.: Analytical model for clustered vehicular ad hoc network analysis. ICT Express 4, 160–164 (2018). S2405959517302503
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Zhang, Y., Li, P. (2019). A Multi-local World Network Model. In: Jin, J., Li, P., Fan, L. (eds) Green Energy and Networking. GreeNets 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-030-21730-3_11
Download citation
DOI: https://doi.org/10.1007/978-3-030-21730-3_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-21729-7
Online ISBN: 978-3-030-21730-3
eBook Packages: Computer ScienceComputer Science (R0)