Skip to main content
Log in

Spatial Science and Network Science: Review and Outcomes of a Complex Relationship

  • Published:
Networks and Spatial Economics Aims and scope Submit manuscript

Abstract

For decades, the spatial approach to network analysis has principally focused on planar and technical networks from a classic graph theory perspective. Reference to models and methods developed by other disciplines on non-planar networks, such as sociology and physics, is recent, limited, and dispersed. Conversely, the physics literature that developed the popular scale-free and small-world models pays an increasing attention to the spatial dimension of networks. Reviewing how complex network research has been integrated into geography and regional science reveals a high heterogeneity among spatial scientists as well as key directions for increasing their role inside multidisciplinary researches on networks.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Notes

  1. Without being exhaustive, the following software packages do not know the alpha, beta, etc. indices: Ucinet, Pajek, Tulip, Gephi, igraph (R package), statnet (R package), and blockmodeling (R package).

  2. Barabási (2002) recognized that cities connecting thousands of highways simply do not exist, thereby recognizing implicitly physical constraints to network growth.

  3. Spatial networks are also coined geographical networks, technological networks, infrastructure networks, ad-hoc networks, or physical networks in the literature.

  4. See for instance the SPANGEO I project (Spatial Networks in Geography) based on active collaboration between geographers and computer scientists around the TULIP software (http://s4.csregistry.org/SpanGeo). It is currently followed up through the SPANGEO II project (http://www.unil.ch/igul/page82579.html), with more emphasis on simulation methods. The FMR Research Group on networks organizes a yearly seminar welcoming specialists of networks as well as young scholars from all academic disciplines since 2010 (http://halshs.archives-ouvertes.fr/view_by_stamp.php?label=FMR&action_todo=home&langue=en)

References

  • Alderson DL (2008) Catching the “network science” bug: Insight and opportunity for the operations researcher. Oper Res 56(5):1047–1065

    Google Scholar 

  • Amiel M, Rozenblat C and Mélançon G (2005) Réseaux multi-niveaux : l’exemple des échanges aériens mondiaux de passagers. M@ppemonde, 3: http://mappemonde.mgm.fr/num7/articles/art05302.html

  • Andersson C, Hellervik A, Lindgren K (2005) A spatial network explanation for a hierarchy of urban power laws. Physica A 345(1–2):227–244

    Google Scholar 

  • Andersson C, Frenken K, Hellervik A (2006) A complex network approach to urban growth. Environ Plan A 38(10):1951–1964

    Google Scholar 

  • Barabási AL, Albert R (1999) Emergence of scaling in random networks. Science 286(5439):509–512

    Google Scholar 

  • Barber MJ, Fischer MM, Scherngell T (2011) The community structure of research and development cooperation in Europe: evidence from a social network perspective. Geogr Anal 43(4):415–432

    Google Scholar 

  • Barnett L, Di Paolo I, Bullock S (2007) Spatially embedded random networks. Phys Rev E 76(5):056115

    Google Scholar 

  • Barrat A, Barthélemy M and Vespignani A (2005) The effects of spatial constraints on the evolution of weighted complex networks. Journal of Statistical Mechanics: Theory and Experiment, P05003

  • Barthélemy M (2003) Crossover from scale-free to spatial networks. Europhys Lett 63:915

    Google Scholar 

  • Barthélemy M (2010) Spatial networks. Phys Rep 499:1–101

    Google Scholar 

  • Barthélemy M, Flammini A (2009) Co-evolution of density and topology in a simple model of city formation. Networks Spat Econ 9(3):401–425

    Google Scholar 

  • Batty M (2008) Cities as Complex Systems: Scaling, Interactions, Networks, Dynamics and Urban Morphologies. UCL Center for Spatial Analysis, paper 131 (63 pages)

  • Beauguitte L (2010) Looking for European Union in the Word-System: A multi-graph approach, Paper presented at the European Regional Science Association Conference, http://www-sre.wu.ac.at/ersa/ersaconfs/ersa10/ERSA2010finalpaper698.pdf

  • Béguin H and Thomas I (1997) The shape of the transportation network and the optimal location of facilities. How to measure the shape of a network? Cybergeo Eur J Geogr 26: http://cybergeo.revues.org/index2189.html (in French)

  • Berroir S, Cattan N, Guérois M, Paulus F and Vacchiani-Marcuzzo C (2012) Les systèmes urbains français, Synthèse DATAR, Travaux en Ligne n° 10

  • Blondel VD, Krings GM and Thomas I (2010) Regions and borders of mobile telephony in Belgium and around Brussels, Brussels Studies, 42, http://perso.uclouvain.be/vincent.blondel/publications/10B.pdf (Accessed June 2012)

  • Boccaletti S, Latora V, Moreno Y, Chavez M, Hwang DU (2006) Complex networks: structure and dynamics. Phys Rep 424(4–5):175–308

    Google Scholar 

  • Bogart D (2009) Inter-modal network externalities and transport development: Evidence from roads, canals, and ports during the English Industrial Revolution. Networks Spat Econ 9(3):309–338

    Google Scholar 

  • Boguna M, Pastor-Satorras R, Diaz-Guilera A, Arenas A (2004) Models of social networks based on social distance attachment. Phys Rev E 70:056122

    Google Scholar 

  • Borgatti SP, Mehra A, Brass DJ, Labianca G (2009) Network analysis in the social sciences. Science 323(5916):892–985

    Google Scholar 

  • Bosco FJ (2006) Actor-network theory, networks, and relational approaches in human geography, in Aitken S and Valentine G (Eds) Approaches to Human Geography, SAGE Publications, pp. 136–146

  • Bretagnolle A (2009) Analyse morphodynamique du réseau des routes de poste en France (XVIe-XIXe siècles), in Bléton-Ruget A, Commerçon N and Vannier M (Eds) Réseaux en question : utopies, pratiques et prospective, Institut de recherche du Val de Saône-Maconnais, pp. 117–138.

  • Bretagnolle A, Pumain D (2010) Simulating urban networks through multiscalar space-time dynamics: Europe and the United States, 17th-20th centuries. Urban Stud 47(13):2819–2839

    Google Scholar 

  • Buldyrev SV, Parshani R, Paul G, Stanley HE, Havlin S (2010) Catastrophic cascade of failures in interdependent networks. Nature 464:1025–1028

    Google Scholar 

  • Bullock S, Barnett L, Di Paolo E (2010) Spatial embedding and the structure of complex networks. Complexity 16(2):20–28

    Google Scholar 

  • Cardillo A, Scellato S, Latora V, Porta S (2005) Structural properties of planar graphs of urban street patterns. Phys Rev E 73(6):066107

    Google Scholar 

  • Caschili S, De Montis A (2013) Accessibility and complex network analysis of the U.S. commuting system. Cities 30:4–17

    Google Scholar 

  • Cattan N (1995a) Attractivity and internationalisation of major European cities: the example of air traffic. Urban Stud 32(2):303–312

    Google Scholar 

  • Cattan N (1995b) Barrier effects: the case of air and rail flows. International Political Science Review 16(3):237–248

    Google Scholar 

  • Choi JH, Barnett JA, Chon BS (2006) Comparing world city networks: a network analysis of internet backbone and air transport intercity linkages. Global Networks 6(1):81–99

    Google Scholar 

  • Cicéri MF, Marchand B, Rimbert S (1977) Introduction à l’analyse de l’espace. Masson, Paris

    Google Scholar 

  • Comin MN (2009) Networks of cities and networks of innovation in Europe: the structuring of the European system of cities through research networks dedicated to converging technologies, PhD dissertation in Geography, University of Paris I (724 pages)

  • Crossley N (2005) Review article: the new social physics and the science of small world networks. Sociological Review 53(2):351–359

    Google Scholar 

  • Crossley N (2008) Small-world networks, complex systems and sociology. Sociology 42(2):261–277

    Google Scholar 

  • Crucitti P, Latora V, Porta S (2006) Centrality measures in spatial networks of urban streets. Phys Rev E 73(3):0361251-5

    Google Scholar 

  • Dancoisne P (1984) Théorie des graphes et constitution du réseau ferré français, Unpublished PhD dissertation in Geography, Paris: Université Paris I

  • Davis GF, Yoo M, Baker WE (2003) The small world of the American corporate elite, 1982–2001. Strateg Organ 1(3):301–326

    Google Scholar 

  • De Montis A, Chessa A, Caschili S, Campagna M, Deplano G (2010) Modeling commuting systems through a complex network analysis: a study of the Italian islands of Sardinia and Sicily. Journal of Transport and Land Use 2(3/4):39–55

    Google Scholar 

  • Devriendt L, Derudder B, Witlox F (2010) Conceptualizing digital and physical connectivity: the position of European cities in internet backbone and air traffic flows. Telecommun Policy 34(8):417–429

    Google Scholar 

  • Drevelle M (2013) Structure des navettes domicile-travail et polarités secondaires autour de Montpellier. Mappemonde 110(2): http://mappemonde.mgm.fr/num35/articles/art12304.html

  • Ducruet C (2013a) Network diversity and maritime flows. J Transp Geogr 30:77–88

    Google Scholar 

  • Ducruet C (2013b) Mapping global urban interactions: Maritime flows and port hierarchies since the late nineteenth century, Globalisation and World Cities Research Bulletin, http://www.lboro.ac.uk/gawc/rb/rb429.html

  • Ducruet C, Lugo I (2013a) Cities and transport networks in shipping and logistics research. Asian Journal of Shipping and Logistics 29(2):145–166

    Google Scholar 

  • Ducruet C and Lugo I (2013b) Structure and dynamics of transport networks: concepts, models, and applications, in Rodrigue JP, Notteboom TE and Shaw J (eds.), The SAGE Handbook of Transport Studies, SAGE Publications Ltd., pp. 347–364

  • Ducruet C, Notteboom TE (2012) The worldwide maritime network of container shipping: spatial structure and regional dynamics. Global Networks 12(3):395–423

    Google Scholar 

  • Ducruet C, Zaidi F (2012) Maritime constellations: a complex network approach to shipping and ports. Maritime Policy and Management 39(2):159–168

    Google Scholar 

  • Ducruet C, Rozenblat C, Zaidi F (2010) Ports in multi-level maritime networks: evidence from the Atlantic (1996–2006). J Transp Geogr 18(4):508–518

    Google Scholar 

  • Ducruet C, Ietri D and Rozenblat C (2011a) Cities in worldwide air and sea flows: A multiple networks analysis. Cybergeo Eur J Geogr 528: http://cybergeo.revues.org/23603

  • Ducruet C, Lee SW, Song JM (2011b) Network position and throughput performance of seaports. In: Notteboom TE (ed) Current issues in shipping, ports, and logistics. ASP Publishers, Brussels, pp 185–201

    Google Scholar 

  • Dupuy G (ed.) (1988) Réseaux territoriaux. Caen, Paradigme (286 pages)

  • Eagle N, Macy M, Claxton R (2010) Network diversity and economic development. Science 328(5981):1029–1031

    Google Scholar 

  • Erath A, Löchl M, Axhausen KW (2009) Graph-theoretical analysis of the Swiss road and railway networks over time. Networks and Spatial Economics 9(3):379–400

    Google Scholar 

  • Erdös P, Rényi A (1959) On random graphs. Publicationes Mathematicae 6:290–297

    Google Scholar 

  • Evans AJ (2010) Complex spatial networks in application. Complexity 16(2):11–19

    Google Scholar 

  • Expert P, Evans TS, Blondel VD, Lambiotte R (2011) Uncovering space-independent communities in spatial networks. Proceedings of the National Academy of Sciences of the United States of America (PNAS) 108(19):7663–7668

    Google Scholar 

  • Fleming L, King C, Juda A (2007) Small worlds and regional innovation. Organ Sci 18(6):938–954

    Google Scholar 

  • Freeman L (2004) The development of social network analysis: a study in the sociology of science. Empirical Press, Vancouver, 218 pages

    Google Scholar 

  • Gabaix X and Ioannides Y (2004) The evolution of city size distributions, in Henderson JV and Thisse JF (eds) Handbook of Regional and Urban Economics, pp. 2341–2378

  • Garrison WL (1960) Connectivity of the interstate highway system. Regional Science Association, Papers and Proceedings 6:121–137

    Google Scholar 

  • Gastner MT, Newman MEJ (2006) Optimal design of spatial distribution networks. Phys Rev E 74(1):16117

    Google Scholar 

  • Gattuso D, Miriello E (2005) Compared analysis of metro networks supported by graph theory. Networks and Spatial Economics 5(4):395–414

    Google Scholar 

  • Gleyze JF (2007) Making allowances for spatial and network effects when assessing indicators on infrastructure network nodes. Cybergeo Eur J Geogr 370 http://cybergeo.revues.org/index5532.html

  • Gleyze JF (2013) Topological clustering for geographical networks, in Rozenblat C and Melançon G (eds), Methods for Multilevel Analysis and Visualization of Geographical Networks, Springer, pp. 33–53

  • Gorman SP, Kulkarni R (2004) Spatial small worlds: new geographic patterns for an information economy. Environment and Planning B 31(2):273–296

    Google Scholar 

  • Gorman SP, Schintler L, Kulkarni R, Stough R (2004) The revenge of distance: vulnerability analysis of critical information infrastructure. Journal of Contingencies and Crisis Management 12(2):48–63

    Google Scholar 

  • Gorman SP, Patuelli R, Reggiani A, Nijkamp P, Kulkarni R, Haag G (2007) An application of complex network theory to German commuting patterns. In: Friesz TL (ed) Network Science, nonlinear science and infrastructure systems. Springer, New York, pp 167–185

    Google Scholar 

  • Gosak M, Korosak D, Marhl M (2011) Topologically determined optimal stochastic resonance responses of spatially embedded networks. New J Phys 13:013012

    Google Scholar 

  • Grabher G (2006) Trading routes, bypasses, and risky intersections: mapping the travels of ‘networks’ between economic sociology and economic geography. Prog Hum Geogr 30(2):1–27

    Google Scholar 

  • Grubesic TH, Matisziw TC, Zook MA (2008) Global airline networks and nodal regions. GeoJournal 71(1):53–66

    Google Scholar 

  • Guo D, Liu S, Jin H (2010) A graph-based approach to vehicle trajectory analysis. Journal of Location Based Services 4(3–4):183–199

    Google Scholar 

  • Haggett P, Chorley R (1969) Network analysis in geography. Edward Arnold, London, 348 pages

    Google Scholar 

  • Hayashi Y, Matsukubo J (2006) Geographical effects on the path length and the robustness in complex networks. Phys Rev E 73:066113

    Google Scholar 

  • Hillier B, Hanson J (1984) The social logic of space. Cambridge University Press, Cambridge

    Google Scholar 

  • Hu Y, Zhu D (2009) Empirical analysis of the worldwide maritime transportation network. Physica A 388(101):2061–2071

    Google Scholar 

  • Huang L, Yang L, Yang K (2005) Geographical effects on cascading breakdowns of scale-free networks. Phys Rev E 73(3):036102

    Google Scholar 

  • Illenberger J, Nagel K, Flötteröd G (2013) The role of spatial interaction in social networks. Networks and Spatial Economics 13(3):255–282

    Google Scholar 

  • Jacobs W, Ducruet C, De Langen PW (2010) Integrating world cities into production networks: the case of port cities. Global Networks 10(1):92–113

    Google Scholar 

  • Jiang B, Claramunt C (2004) Topological analysis of urban streets. Environment and Planning B: Planning and Design 31(1):151–162

    Google Scholar 

  • Kaiser M, Hilgetag CC (2004) Spatial growth of real-world networks. Phys Rev E 69:036103

    Google Scholar 

  • Kansky KJ (1963) Structure of transportation networks: Relationship between network geometry and regional characteristics. University of Chicago Press, Chicago, 155 pages

    Google Scholar 

  • Kurant M, Thiran P (2006) Extraction and analysis of traffic and topologies of transportation networks. Phys Rev E 74(3):36114

    Google Scholar 

  • Lambert A, Bourqui R and Aubert D (2013) Graph visualization for geography, in Rozenblat C and Melançon G (eds), Methods for Multilevel Analysis and Visualization of Geographical Networks, Springer, pp. 81–102

  • Lambiotte R, Blondel VD, de Kerchove C, Huens E, Prieur C, Smoreda Z, Van Dooren P (2008) Geographical dispersal of mobile communication networks. Physica A 387(21):5317–5325

    Google Scholar 

  • Lane D, van der Leeuw S, Pumain D and West G (2009) Complexity Perspectives in Innovation and Social Change, Methodos Series 7, Springer (492 pages)

  • Liefner I, Hennemann S (2011) Structural holes and new dimensions of distance: the spatial configuration of the scientific knowledge network of China’s optical technology sector. Environment and Planning A 43(4):810–829

    Google Scholar 

  • Liu X, Derudder B, Gago Garcia C (2013) Exploring the co-evolution of the geographies of air transport aviation and corporate networks. J Transp Geogr 30:26–36

    Google Scholar 

  • Lugo I (2013) Spatial externalities approach to modelling the preferential attachment process in urban systems, Proceedings of the European Conference of Complex Systems 2012, Lecture Notes in Computer Science, Springer (forthcoming)

  • Mathis P (ed.) (2003) Graphes et réseaux. Modélisation multi-niveaux. Paris: Lavoisier (361 pages)

  • Matthiessen CW, Schwarz AW, Find S (2006) World cities of knowledge: research strength, networks and nodality. J Knowl Manag 10(5):14–25

    Google Scholar 

  • Melançon G and Rozenblat C (2013) Structural analysis of networks, in Rozenblat C and Melançon G (eds), Methods for Multilevel Analysis and Visualization of Geographical Networks, Springer, pp. 69–80

  • Milgram S (1967) The small world problem. Psychology Today 2:60–67

    Google Scholar 

  • Miller HJ (1999) Potential contributions of spatial analysis to Geographic Information Systems for Transportation (GIS-T). Geogr Anal 31(4):373–399

    Google Scholar 

  • Newman MEJ (2010) Networks: an introduction. Oxford University Press, Oxford, 784 pages

    Google Scholar 

  • Newman MEJ, Barabási AL and Watts D (eds) (2006) The Structure and Dynamics of Networks. Princeton: Princeton University Press (624 pages)

  • Ng AKY and Ducruet C (forthcoming) The changing tides of port geography (1950-2012). Prog Hum Geogr

  • Nystuen JD, Dacey MF (1961) A graph theory interpretation of nodal regions. Pap Reg Sci 7(1):29–42

    Google Scholar 

  • Opsahl T, Panzarasa P (2009) Clustering in weighted networks. Soc Networks 31(2):155–163

    Google Scholar 

  • Parshani R, Rozenblat C, Ietri D, Ducruet C, Havlin S (2010) Inter-similarity between coupled networks. Europhys Lett 92:68002

    Google Scholar 

  • Patuelli R, Reggiani A, Gorman S, Nijkamp P, Bade F (2007) Network analysis of commuting flows: a comparative static approach to German data. Networks and Spatial Economics 7(4):315–331

    Google Scholar 

  • Pflieger G, Rozenblat C (2010) Introduction. Urban networks and network theory: The city as the connector of multiple networks, Urban Studies 47(13):2723–2735

    Google Scholar 

  • Porta S, Crucitti P, Latora V (2006) The network analysis of urban streets: a primal approach. Environment and Planning B 33(5):705–725

    Google Scholar 

  • Porta S, Strano E, Iacoviello V, Messora R, Latora V, Cardillo A, Wang F, Scellato S (2009) Street centrality and densities of retail and services in Bologna. Italy, Environment and Planning B 36:450–465

    Google Scholar 

  • Porta S, Latora V, Wang F, Rueda S, Strano E, Scellato S, Cardillo A, Belli E, Cardenas F, Cormenzana B, Latora L (2012) Street centrality and the location of economic activities in Barcelona. Urban Stud 49(7):1471–1488

    Google Scholar 

  • Produit T, Lachance-Bernard N, Strano E, Porta S, Joost S (2010) A network based Kernel density estimator applied to Barcelona economic activities. Lect Notes Comput Sci 6016:32–45

    Google Scholar 

  • Pumain D (1982) La dynamique des villes. Economica, Paris

    Google Scholar 

  • Radil SM, Flint C, Tita GE (2010) Spatializing social networks: using social network analysis to investigate geographies of gang rivalry, territoriality, and violence in Los Angeles. Ann Assoc Am Geogr 100(2):307–326

    Google Scholar 

  • Reggiani A (2011) Accessibility and resilience in complex networks, Paper presented at West Virginia University, 28 April 2011

  • Reggiani A and Vinciguerra S (2011) Network connectivity models: An overview and empirical applications, in Friesz T (ed), Network Science, Nonlinear Science and Infrastructure Systems, Springer, pp. 147–165

  • Reggiani A, Bucci P, Russo G, Haas A, Nijkamp P (2011a) Regional labour markets and job accessibility in city network systems in Germany. J Transp Geogr 19(4):528–536

    Google Scholar 

  • Reggiani A, Bucci P, Russo G (2011b) Accessibility and network structures in the German commuting. Networks and Spatial Economics 11(4):621–641

    Google Scholar 

  • Robson BT (1973) Urban growth, an approach. Methuen, London

    Google Scholar 

  • Rosato V, Issacharoff L, Tiriticco F, Meloni S, De Porcellinis S, Setola R (2008) Modelling interdependent infrastructures using interacting dynamical models. International Journal of Critical Infrastructures 4(1–2):63–79

    Google Scholar 

  • Rozenblat C (2010) Opening the black box of agglomeration economies for measuring cities’ competitiveness through international firm networks. Urban Stud 74(13):2841–2865

    Google Scholar 

  • Rozenblat C and Mélançon G (2007) A small world perspective on urban systems. Handbook of Theoretical and Quantitative Geography, Lausanne: Univ. of Lausanne Ed., pp. 431–467

  • Rozenblat C, Pumain D (1993) The location of multinational firms in the European urban system. Urban studies 30(10):1691–1709

    Google Scholar 

  • Rozenblat C, Melançon G, Bourqui R and Auber D (2013) Comparing multilevel clustering methods on weighted graphs: The case of worldwide air passenger traffic 2000-2004, in Rozenblat C and Melançon G (eds), Methods for Multilevel Analysis and Visualization of Geographical Networks, Springer, pp. 141–154

  • Schintler LA, Kulkarni R, Gorman S, Stough R (2007) Using raster-based GIS and graph theory to analyze complex networks. Networks and Spatial Economics 7(4):301–313

    Google Scholar 

  • Scott DW, Novak D, Aultman-Hall M and Guo F (2005) Network robustness index: A new method for identifying critical links and evaluating the performance of transportation networks. Working Paper 9, Centre for Spatial Analysis, Hamilton, Canada: http://www.science.mcmaster.ca/cspa/papers/CSpA%20WP%20009.pdf

  • Stoneham AKM (1977) The small-world problem in a spatial context. Environment and Planning A 9(2):185–195

    Google Scholar 

  • Strano E, Nicosia V, Latora V, Porta S, Barthélemy M (2012) Elementary processes governing the evolution of road networks. Scientific Reports 2:296

    Google Scholar 

  • Taaffe EJ, Morrill RL, Gould PR (1963) Transport expansion in underdeveloped countries: a comparative analysis. Geogr Rev 4:503–529

    Google Scholar 

  • Ter Wal ALJ, Boschma RA (2009) Applying social network analysis in economic geography: framing some key analytic issues. Ann Reg Sci 43(3):739–756

    Google Scholar 

  • Thomas I (2002) Transportation networks and the optimal location of human activities: a numerical geography approach. Edward Elgar Publishing, Northampton

    Google Scholar 

  • Tissandier P, Phan Quang TT and Archambault D (2013) Defining polycentric urban areas through commuting cohesion in France, in Rozenblat C and Melançon G (eds), Methods for Multilevel Analysis and Visualization of Geographical Networks, Springer, pp. 189–206

  • Tobler W (1970) A computer movie simulating urban growth in the Detroit region. Econ Geogr 46(2):234–240

    Google Scholar 

  • Tranos E (2011) The topology and the emerging urban geographies of the Internet backbone and aviation networks in Europe: a comparative study. Environment and Planning A 43:378–392

    Google Scholar 

  • Travers J, Milgram S (1969) An experimental study of the small world problem. Sociometry 32(4):425-443

    Google Scholar 

  • Vespignani A (2010) Complex networks: the fragility of interdependency. Nature 464:984–985

    Google Scholar 

  • Vinciguerra S, Frenken K, Valente M (2010) The geography of Internet infrastructure: an evolutionary simulation approach based on preferential attachment. Urban Stud 47(9):1969–1984

    Google Scholar 

  • Vitali S, Battiston S (2011) Geography versus topology in the European ownership network. New J Phys 13:063021

    Google Scholar 

  • Wang J, Jin F, Mo H, Wang F (2009) Spatiotemporal evolution of China’s railway network in the 20th century: An accessibility approach. Transp Res A 43(8):765–778

    Google Scholar 

  • Wang J, Mo H, Wang F, Jin F (2011) Exploring the network structure and nodal centrality of China’s air transport network: a complex network approach. J Transp Geogr 19(4):712–721

    Google Scholar 

  • Wasserman S, Faust K (1994) Social network analysis: methods and applications. Cambridge University Press, Cambridge, 857 pages

    Google Scholar 

  • Waters N (2006) Network and Nodal Indices. Measures of Complexity and Redundancy: A Review. In: Reggiani A, Nijkamp P (eds) Spatial dynamics, networks and modelling. Edward Elgar Publishing, Northampton, pp 13–33

    Google Scholar 

  • Watts DJ (2003) Six degrees. the science of a connected age. W.W. Norton & Company, New-York, 368 pages

    Google Scholar 

  • Watts DJ, Strogatz SH (1998) Collective dynamics of ‘small-world’ networks. Nat 393:440–442

    Google Scholar 

  • Wong LH, Pattison P, Robins G (2006) A spatial model for social networks. Physica A 360:99–120

    Google Scholar 

  • Xie F, Levinson D (2007) Measuring the structure of road networks. Geogr Anal 39:336–356

    Google Scholar 

  • Xie F, Levinson D (2009) Modeling the growth of transportation networks: a comprehensive review. Networks and Spatial Economics 9(3):291–307

    Google Scholar 

  • Zaidi F (2011) Analysis, structure and organization of complex networks. Lambert Academic Publishing, Saarbrucken, 156 pages

    Google Scholar 

  • Zhang PC, Peeta S, Friesz T (2005) Dynamic game theoretic model of multi-layer infrastructure networks. Networks and Spatial Economics 5:147–178

    Google Scholar 

Download references

Acknowledgments

The research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP/2007-2013)/ERC Grant Agreement n. [313847] “World Seastems”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to César Ducruet.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ducruet, C., Beauguitte, L. Spatial Science and Network Science: Review and Outcomes of a Complex Relationship. Netw Spat Econ 14, 297–316 (2014). https://doi.org/10.1007/s11067-013-9222-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11067-013-9222-6

Keywords

Navigation