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Evolution of Networks: From Biological Nets to the Internet and WWW

Author

Listed:
  • Dorogovtsev, S. N.

    (Ioffe Institute, St Petersburg, Russia)

  • Mendes, J.F.F.

    (University of Aveiro, Portugal)

Abstract

We live in a world of networks, where everything is amazingly close to everything else. The notion of 'network' turns out to be central to our times: the Internet and WWW are changing our lives; our physical existence is based on various biological networks; we are involved in all-enveloping networks of economic and social relations. Only in the 1990s did physicists begin to explore real networks, both natural and artificial, as evolving systems with intriguingly complex and effective architectures. Progress has been so immediate and astounding that we actually face a new science based on a new set of concepts, and, one may even say, on a new philosophy: the natural philosophy of a small world. Old ideas from mathematics, statistical physics, biology, computer science, and so on take on quite new forms in applications to real evolving networks. - What is common to all networks? - What are the general principles of the organization and evolution of networks? - How do the laws of nature work in communication, biological, and social networks? - What are networks? This book, written by physicists, answers these questions and presents a general insight into the world of networks.

Suggested Citation

  • Dorogovtsev, S. N. & Mendes, J.F.F., 2013. "Evolution of Networks: From Biological Nets to the Internet and WWW," OUP Catalogue, Oxford University Press, number 9780199686711.
    • Handle: RePEc:oxp:obooks:9780199686711
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    Cited by:

    1. Li, Xun & Cao, Lang, 2016. "Diffusion processes of fragmentary information on scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 624-634.
    2. Rybalova, E.V. & Strelkova, G.I. & Anishchenko, V.S., 2021. "Impact of sparse inter-layer coupling on the dynamics of a heterogeneous multilayer network of chaotic maps," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    3. Kashin Sugishita & Yasuo Asakura, 2021. "Vulnerability studies in the fields of transportation and complex networks: a citation network analysis," Public Transport, Springer, vol. 13(1), pages 1-34, March.
    4. Fabio Vanni & Paolo Barucca, 2019. "Degree-correlations in a bursting dynamic network model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 663-695, September.
    5. Pu, Cunlai & Li, Siyuan & Yang, Xianxia & Yang, Jian & Wang, Kai, 2016. "Information transport in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 261-269.
    6. Chih-Sheng Hsieh & Michael D. König & Xiaodong Liu, 2012. "Network formation with local complements and global substitutes: the case of R&D networks," ECON - Working Papers 217, Department of Economics - University of Zurich, revised Feb 2017.
    7. Pandey, Pradumn Kumar & Singh, Mayank & Goyal, Pawan & Mukherjee, Animesh & Chakrabarti, Soumen, 2020. "Analysis of reference and citation copying in evolving bibliographic networks," Journal of Informetrics, Elsevier, vol. 14(1).
    8. A. Paolo Masucci & Carlos Molinero, 2016. "Robustness and closeness centrality for self-organized and planned cities," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(2), pages 1-8, February.
    9. Xiangyang Guan & Cynthia Chen & Dan Work, 2016. "Tracking the Evolution of Infrastructure Systems and Mass Responses Using Publically Available Data," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-17, December.
    10. A. Paolo Masucci & Carlos Molinero, 2016. "Robustness and closeness centrality for self-organized and planned cities," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(2), pages 1-8, February.
    11. Zhihong Tian & Zhenji Zhang & Ruize Gao, 2016. "Optimization in e-commerce market network based on value order parameter," Information Technology and Management, Springer, vol. 17(2), pages 187-197, June.
    12. Gutiérrez, Caracé & Gancio, Juan & Cabeza, Cecilia & Rubido, Nicolás, 2021. "Finding the resistance distance and eigenvector centrality from the network’s eigenvalues," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 569(C).
    13. Ma, Liangliang & Liu, Jing & Duan, Boping, 2016. "Evolution of network robustness under continuous topological changes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 623-631.
    14. Lucas Cuadra & Sancho Salcedo-Sanz & Javier Del Ser & Silvia Jiménez-Fernández & Zong Woo Geem, 2015. "A Critical Review of Robustness in Power Grids Using Complex Networks Concepts," Energies, MDPI, vol. 8(9), pages 1-55, August.
    15. Zhang, Ziqiao & Pu, Peng & Han, Dingding & Tang, Ming, 2018. "Self-adaptive Louvain algorithm: Fast and stable community detection algorithm based on the principle of small probability event," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 975-986.
    16. Saucan, Emil & Sreejith, R.P. & Vivek-Ananth, R.P. & Jost, Jürgen & Samal, Areejit, 2019. "Discrete Ricci curvatures for directed networks," Chaos, Solitons & Fractals, Elsevier, vol. 118(C), pages 347-360.
    17. Hernández, Juan M. & González-Martel, Christian, 2017. "An evolving model for the lodging-service network in a tourism destination," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 296-307.
    18. Neiva, Mariane B. & Bruno, Odemir M., 2023. "Exploring ordered patterns in the adjacency matrix for improving machine learning on complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    19. Ravindran, Vandana & V., Sunitha & Bagler, Ganesh, 2017. "Identification of critical regulatory genes in cancer signaling network using controllability analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 134-143.
    20. , David, 2016. "The formation of networks with local spillovers and limited observability," Theoretical Economics, Econometric Society, vol. 11(3), September.
    21. Cui, Wei & Pu, Cunlai & Xu, Zhongqi & Cai, Shimin & Yang, Jian & Michaelson, Andrew, 2016. "Bounded link prediction in very large networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 202-214.
    22. Nicanor García Álvarez & Belarmino Adenso-Díaz & Laura Calzada-Infante, 2021. "Maritime Traffic as a Complex Network: a Systematic Review," Networks and Spatial Economics, Springer, vol. 21(2), pages 387-417, June.
    23. Lei, Lixing & Yang, Junzhong, 2021. "Patterns in coupled FitzHugh–Nagumo model on duplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    24. Havlin, Shlomo & Stanley, H. Eugene & Bashan, Amir & Gao, Jianxi & Kenett, Dror Y., 2015. "Percolation of interdependent network of networks," Chaos, Solitons & Fractals, Elsevier, vol. 72(C), pages 4-19.

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