Skip to main content
Top

2014 | OriginalPaper | Chapter

Spatial and Temporal Evaluation of Network-Based Analysis of Human Mobility

Authors : Michele Coscia, Salvatore Rinzivillo, Fosca Giannotti, Dino Pedreschi

Published in: State of the Art Applications of Social Network Analysis

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The availability of massive network and mobility data from diverse domains has fostered the analysis of human behavior and interactions. This data availability leads to challenges in the knowledge discovery community. Several different analyses have been performed on the traces of human trajectories, such as understanding the real borders of human mobility or mining social interactions derived from mobility and viceversa. However, the data quality of the digital traces of human mobility has a dramatic impact over the knowledge that it is possible to mine, and this issue has not been thoroughly tackled in literature so far. In this chapter, we mine and analyze with complex network techniques a large dataset of human trajectories, a GPS dataset from more than 150 k vehicles in Italy. We build a multiresolution spatial grid and we map the trajectories to several complex networks, by connecting the different areas of our region of interest. We also analyze different temporal slices of the network, obtaining a dynamic perspective over its evolution. We analyze the structural properties of the temporal and geographical slices and their human mobility predictive power. The result is a significant advancement in our understanding of the data transformation process that is needed to connect mobility with social network analysis and mining.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Andrienko GL, Andrienko NV, Bak P, Keim DA, Kisilevich S, Wrobel S (2011) A conceptual framework and taxonomy of techniques for analyzing movement. J Vis Lang Comput 22(3):213–232 Andrienko GL, Andrienko NV, Bak P, Keim DA, Kisilevich S, Wrobel S (2011) A conceptual framework and taxonomy of techniques for analyzing movement. J Vis Lang Comput 22(3):213–232
3.
go back to reference Bonchi F, Lakshmanan LVS, Wang WH (2011) Trajectory anonymity in publishing personal mobility data. SIGKDD Explor 13(1):30–42CrossRef Bonchi F, Lakshmanan LVS, Wang WH (2011) Trajectory anonymity in publishing personal mobility data. SIGKDD Explor 13(1):30–42CrossRef
4.
go back to reference Cho E, Myers SA, Leskovec J (2011) Friendship and mobility: user movement in location-based social networks. In: KDD Cho E, Myers SA, Leskovec J (2011) Friendship and mobility: user movement in location-based social networks. In: KDD
5.
go back to reference Coscia M, Giannotti F, Pedreschi D (2011) A classification for community discovery methods in complex networks. Stat Anal Data Min 4(5):512–546MathSciNet Coscia M, Giannotti F, Pedreschi D (2011) A classification for community discovery methods in complex networks. Stat Anal Data Min 4(5):512–546MathSciNet
6.
go back to reference Coscia M, Rinzivillo S, Giannotti F, Pedreschi D (2012) Optimal spatial resolution for the analysis of human mobility. In: ASONAM Coscia M, Rinzivillo S, Giannotti F, Pedreschi D (2012) Optimal spatial resolution for the analysis of human mobility. In: ASONAM
7.
go back to reference Coscia M, Rossetti G, Giannotti F, Pedreschi D (2012) Demon: a local-first discovery method for overlapping communities. In: KDD, pp 615–623 Coscia M, Rossetti G, Giannotti F, Pedreschi D (2012) Demon: a local-first discovery method for overlapping communities. In: KDD, pp 615–623
8.
go back to reference Fortunato S, Lancichinetti A (2009) Community detection algorithms: a comparative analysis: invited presentation, extended abstract, ser. VALUETOOLS ’09. ICST, pp 27:1–27:2 Fortunato S, Lancichinetti A (2009) Community detection algorithms: a comparative analysis: invited presentation, extended abstract, ser. VALUETOOLS ’09. ICST, pp 27:1–27:2
9.
go back to reference Jawad A, Kersting K, Andrienko NV (2011) Where traffic meets dna: mobility mining using biological sequence analysis revisited. In: GIS, pp 357–360 Jawad A, Kersting K, Andrienko NV (2011) Where traffic meets dna: mobility mining using biological sequence analysis revisited. In: GIS, pp 357–360
10.
go back to reference Krempl G, Siddiqui ZF, Spiliopoulou M (2011) Online clustering of high-dimensional trajectories under concept drift. In: ECML/PKDD (2), pp 261–276 Krempl G, Siddiqui ZF, Spiliopoulou M (2011) Online clustering of high-dimensional trajectories under concept drift. In: ECML/PKDD (2), pp 261–276
11.
go back to reference Liu Y, Chen L, Pei J, Chen Q and Zhao Y (2007) Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays. In: PerCom, pp 37–46 Liu Y, Chen L, Pei J, Chen Q and Zhao Y (2007) Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays. In: PerCom, pp 37–46
12.
go back to reference Monreale A, Andrienko GL, Andrienko NV, Giannotti F, Pedreschi D, Rinzivillo S, Wrobel S (2010) Movement data anonymity through generalization. Trans Data Priv 3(2):91–121MathSciNet Monreale A, Andrienko GL, Andrienko NV, Giannotti F, Pedreschi D, Rinzivillo S, Wrobel S (2010) Movement data anonymity through generalization. Trans Data Priv 3(2):91–121MathSciNet
13.
go back to reference Monreale A, Pinelli F, Trasarti R, Giannotti F (2009) WhereNext: a location predictor on trajectory pattern mining. In: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, ser. KDD ’09. ACM, New York, NY, USA, pp 637–646. [Online] Available: http://dx.doi.org/10.1145/1557019.1557091 Monreale A, Pinelli F, Trasarti R, Giannotti F (2009) WhereNext: a location predictor on trajectory pattern mining. In: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, ser. KDD ’09. ACM, New York, NY, USA, pp 637–646. [Online] Available: http://​dx.​doi.​org/​10.​1145/​1557019.​1557091
14.
15.
go back to reference Papadimitriou S, Sun J, Faloutsos C, Yu PS (2008) Hierarchical, parameter-free community discovery. In: ECML PKDD. Springer-Verlag, Berlin, Heidelberg, pp 170–187 Papadimitriou S, Sun J, Faloutsos C, Yu PS (2008) Hierarchical, parameter-free community discovery. In: ECML PKDD. Springer-Verlag, Berlin, Heidelberg, pp 170–187
16.
go back to reference Ratti C, Sobolevsky S, Calabrese F, Andris C, Reades J, Martino M, Claxton R, Strogatz SH (2010) Redrawing the map of great britain from a network of human interactions. PLoS ONE 15(12):e14248+ Ratti C, Sobolevsky S, Calabrese F, Andris C, Reades J, Martino M, Claxton R, Strogatz SH (2010) Redrawing the map of great britain from a network of human interactions. PLoS ONE 15(12):e14248+
17.
go back to reference Rinzivillo S, Mainardi S, Pezzoni F, Coscia M, Pedreschi D, Giannotti F (2012) Discovering the geographical borders of human mobility. In: Kunstliche intelligenz (in press) Rinzivillo S, Mainardi S, Pezzoni F, Coscia M, Pedreschi D, Giannotti F (2012) Discovering the geographical borders of human mobility. In: Kunstliche intelligenz (in press)
18.
go back to reference Rosvall M, Bergstrom CT (2011) Multilevel compression of random walks on networks reveals hierarchical organization in large integrated systems. PLoS ONE 6(4):e18209 Rosvall M, Bergstrom CT (2011) Multilevel compression of random walks on networks reveals hierarchical organization in large integrated systems. PLoS ONE 6(4):e18209
19.
go back to reference Sun Y, Han J, Aggarwal CC, Chawla NV (2012) When will it happen?: Relationship prediction in heterogeneous information networks. In: WSDM, pp 663–672 Sun Y, Han J, Aggarwal CC, Chawla NV (2012) When will it happen?: Relationship prediction in heterogeneous information networks. In: WSDM, pp 663–672
20.
go back to reference Szell M, Sinatra R, Petri G, Thurner S, Latora V (2011) Understanding mobility in a social petri dish. ArXiv e-prints, Dec 2011 Szell M, Sinatra R, Petri G, Thurner S, Latora V (2011) Understanding mobility in a social petri dish. ArXiv e-prints, Dec 2011
21.
go back to reference Tang L, Liu H (2009) Relational learning via latent social dimensions. In: KDD. ACM, New York, NY, USA, pp 817–826 Tang L, Liu H (2009) Relational learning via latent social dimensions. In: KDD. ACM, New York, NY, USA, pp 817–826
22.
go back to reference Thiemann C, Theis F, Grady D, Brune R, Brockmann D (2010) The structure of borders in a small world. PloS one 5(11):e15422+ Thiemann C, Theis F, Grady D, Brune R, Brockmann D (2010) The structure of borders in a small world. PloS one 5(11):e15422+
23.
go back to reference Trasarti R, Pinelli F, Nanni M, Giannotti F (2011) Mining mobility user profiles for car pooling. In: KDD, pp 1190–1198 Trasarti R, Pinelli F, Nanni M, Giannotti F (2011) Mining mobility user profiles for car pooling. In: KDD, pp 1190–1198
25.
go back to reference Wang D, Pedreschi D, Song C, Giannotti F, Barabasi A-L (2011) Human mobility, social ties, and link prediction. In: KDD. ACM, New York, NY, USA, pp 1100–1108 Wang D, Pedreschi D, Song C, Giannotti F, Barabasi A-L (2011) Human mobility, social ties, and link prediction. In: KDD. ACM, New York, NY, USA, pp 1100–1108
Metadata
Title
Spatial and Temporal Evaluation of Network-Based Analysis of Human Mobility
Authors
Michele Coscia
Salvatore Rinzivillo
Fosca Giannotti
Dino Pedreschi
Copyright Year
2014
DOI
https://doi.org/10.1007/978-3-319-05912-9_13

Premium Partner