Quantifying the effect of temporal resolution on time-varying networks

Scientific Reports

Volumn 3, Issue , 2013, Pages

  Ribeiro, Bruno ^a   Perra, Nicola ^b   Baronchelli, Andrea ^c  

^a Carnegie Mellon University   (United States)

^b NORTHEASTERN UNIVERSITY   (United States)

^c CITY UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84885996921     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep03006     Document Type: Article

References (41)

1. Holme, P. & Saramaki, J. Temporal networks. Phys. Rep. 519, 97 (2012).
2. Morris, M. Telling tails explain the discrepancy in sexual partner reports. Nature 365, 437 (1993).
3. Morris, M. Concurrent partnerships and syphilis persistence: new thoughts on an old puzzle. Sexually transmitted diseases 28, 504-507 (2001). (Pubitemid 32852654)
4. Clauset, A. & Eagle, N. Persistence and periodicity in a dynamic proximity network. In DI-MACS Workshop on Computational Methods for Dynamic Interaction Networks 1-5 (2007).
5. Vespignani, A. Modeling dynamical processes in complex socio-technical systems. Nature Physics 8, 32-30 (2012).
6. Rocha, L. E. C., Liljeros, F. & Holme, P. Simulated epidemics in an empirical spatiotemporal network of 50, 185 sexual contacts. PLoS Comput Biol 7, e1001109 (2011).
7. Isella, L. et al. What's in a crowd? analysis of face-to-face behavioral networks. J. Theor. Biol 271, 166 (2011).
8. Stehle J. et al. Simulation of an seir infectious disease model on the dynamic contact network of conference attendees. BMC Medicine 9 (2011).
9. Karsai, M. et al. Small but slow world: How network topology and burstiness slow down spreading. Phys. Rev. E 83, 025102 (2011).
10. Miritello, G., Moro, E. & Lara, R. Dynamical strength of social ties in information spreading. Phys. Rev. E 83, 045102 (2011).
11. Kivela, M. et al. Multiscale analysis of spreading in a large communication network (2011). ArXiv:1112.4312v1.
12. Fujiwara, N., Kurths, J. & D?az-Guilera, A. Synchronization in networks of mobile oscillators. Physical Review E 83, 025101 (2011).
13. Parshani, R., Dickison, M., Cohen, R., Stanley, H. E. & Havlin, S. Dynamic networks and directed percolation. EPL (Europhysics Letters) 90, 38004 (2010).
14. Bajardi, P., Barrat, A., Natale, F., Savini, L. & Colizza, V. Dynamical patterns of cattle trade movements. PLoS ONE 6, e19869 (2011).
15. Baronchelli, A. & D?az-Guilera, A. Consensus in networks of mobile communicating agents. Phys. Rev. E 85, 016113 (2012).
16. Starnini, M., Baronchelli, A., Barrat, A. & Pastor-Satorras, R. Random walks on temporal networks. Phys. Rev. E 85, 056115 (2012).
17. Perra, N., Gonçalves, B., Pastor-Satorras, R. & Vespignani, A. Time scales and dynamical processes in activity driven networks. Sci. Rep. 2, 469 (2012).
18. Perra, N. et al. Random walks and search in time varying networks. Phys. Rev. Lett. 109, 238701 (2012).
19. Hoffmann, T., Porter, M. & Lambiotte, R. Generalized master equations for nonpoisson dynamics on networks. Physical Review E 86, 046102 (2012).
20. Krings, G., Karsai, M., Bernhardsson, S., Blondel, V. D. & Saramaki, J. Effects of time window size and placement on the structure of an aggregated communication network. EPJ Data Science 1, 4 (2012).
21. Holme, P. Epidemiologically optimal static networks from temporal network data (2013).
22. Butts, C. Relational event framework for social action. Sociological Methodology 38, 155-200 (2008).
23. Toroczkai, Z. & Guclu, H. Proximity networks and epidemics. Physica A 378, 68-75 (2007).
24. Maity, S., Manoj, T. & Mukherjee, A. Opinion formation in time-varying social networks: The case of the naming game. Physical Review E 86, 036110 (2012).
25. Carley, K. Dynamics network analysis. 133-145 (2003).
26. Rosvall, M. & Bergstrom, C. T. Mapping change in large networks. PLoS ONE 5, e8694 (2010).
27. Holme, P. et al. On network bipartivity. e-print cond-mat/0302296 (2003).
28. Cattuto, C. et al. Dynamics of person-to-person interactions from distributed rfid sensor networks. PloS One 5, e11596 (2010).
29. Baronchelli, A., Ferrer-i Cancho, R., Pastor-Satorras, R., Chater, N. & Christiansen, M. H. Networks in cognitive science. Trends in cognitive sciences 17, 348-360 (2013).
30. Beckage, N., Smith, L. & Hills, T. Small worlds and semantic network growth in typical and late talkers. PloS one 6, e19348 (2011).
31. Noh, J. & Rieger, H. Random walks on complex networks. Phys. Rev. Lett. 92, 118701 (2004).
32. Newman, M. Networks. An Introduction 157-159 (Oxford Univesity Press 2010).
33. Barrat, A., Barthelemy, M. & Vespignani, A. Dynamical Processes on Complex Networks, 160-163 (Cambridge Univesity Press, 2008).
34. American Physical Society. Data sets for research (accessed 2010). URL https://publish.aps.org/datasets.
35. Yahoo! Webscope dataset (accessed 2012). URL http://labs.yahoo.com/ Academic-Relations.
36. Java, A., Song, X., Finin, T. & Tseng, B. Why we twitter understanding microblogging usage and communities. In In proceedings of the 9th WebKDD and 1st SNA-KDD workshop on web mining and social network analysis (2007).
37. Kumar, R., Novak, J., Raghavan, P. & Tomkins, A. On the bursty evolution of blogspace. In In proceedings of the 12th international conference of world wide web (2003).
38. Onnela, J.-P. et al. Structure and tie strengths inmobile communication networks. Proc. Natl. Acad. Sci. U.S.A. 104, 7332 (2007).
39. Wu, Y., Zhou, C. J. X., Kurths, J. & Schellnhuber, H. Evidence for a bimodal distribution in human communication. Proc. Natl. Acad. Sci. U.S.A. 107, 18808-18808 (2010).
40. Figueiredo, D., Nain, P., Ribeiro, B., de Souza, E. & Towsley, D. Characterizing continuous time random walks on time varying graphs. ACM SIGMETRICS 203-207 (2012).
41. Feller, W. An introduction to probability theory and its applications. Vol. II, (2nd ed.), 334-335 (John Wiley & Sons Inc., New York, 1971).