Introduction - Methods for Multilevel Analysis and Visualisation of Geographical Networks - page 12

All these presentations describe the emergence of networks at different levels
through diachronic analysis. To develop dynamic models of networks, it was
necessary to explore the temporal and attribute structure of the different networks in
depth. Thus, we wanted to share this collaborative work with readers to identify the
issues in adapting these methods to different themes, scales and levels.
The successful cross-disciplinary work presented in this volume should promote
further collaborative efforts. For the participants, this collaboration was a valuable
opportunity that forced each author to explicitly define the “basic” concepts of his or
her field for colleagues in other disciplines. The process required an open mind, as
well as the ability to view the knowledge and principles of our fields critically. This
volume is unique and original, not only because it provides information on the state
of the art, but also because it represents a product of collaboration. We hope that
the enthusiasm we share will persuade readers in the fields of geography, sociology,
computer science and related areas to contribute to this fruitful cross-disciplinary
endeavour.
References
Alderson, A. S., & Beckfield, J. (2004). Power and position in the world city system. American
Journal of Sociology, 109 (4), 811-851.
Allen, J. (1999). Cities of power and influence: Settled formations. In J. Allen, D. Massey,
& M. Pryke (Eds.), Unsettling cities (pp. 182-227). London: Routledge.
Amaral, L. A. N., Buldyrev, S. V., Havlin, S., Salinger, M. A., & Stanley, H. E. (1998). Power
law scaling for a system of interacting units with complex internal structure. Physical Review
Letters, 80 (7), 1385-1388.
Amiel, M., Melançon, G., & Rozenblat, C. (2005). Réseaux multi-niveaux: l'exemple des
échanges aériens mondiaux. Mappemonde, 79 (3), 20 p. Retrieved July 21, 2009, from http://
mappemonde.mgm.fr/num7/index.html
Anderson, P. (1972). More is different: Broken symmetry and the hierarchical nature of science.
Science, 177 , 393-396.
Andrade, J. S., Herrmann, H. J., Andrade, R. F. S., & Da Silva, L. R. (2005). Apollonian networks:
Simultaneously scale-free, small world, Euclidean, space filling, and with matching graphs.
Physical Review Letters, 94 (1), 018702.
Badaracco, J. (1991). The knowledge link: How firms compete through strategic alliances . Boston:
Harvard Business School Press.
Barabasi, A.-L. (2002). The new science of networks . Cambridge, MA: Perseus.
Barabasi, A.-L., & Albers, R. (1999). Emergence of scaling in random networks. Science, 286 ,
509-512.
Batty, M. (2005). Cities and complexity: Understanding cities with cellular automata, agent-based
models, and fractals . Cambridge, MA/London: MIT.
Batty, M. (2006). Hierarchy in cities and city systems. In D. Pumain (Ed.), Hierarchy in natural
and social sciences (pp. 143-168). New York: Springer.
Berry, B. (1964). Cities as systems within systems of cities. In J. Friedmann, & W. Alonso (Eds.),
Regional development and planning. Cambridge, MA: MIT Press (also in Paper of Regional
Science Association, 1964, 13).
Bertin, J. (1973). Sémiologie graphique: Les diagrammes-Les réseaux-Les cartes . Paris, France:
Gauthier-VillarsMouton & Cie.