Student-teacher networks in university research institutes

doi:10.16511/j.cnki.qhdxxb.2016.25.013

Download: PDF(1781 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract Student-teacher relationships in a university were analyzed using contact data from surveillance videos to calculate distributions, clustering coefficients, k-cores and community structures. The results show that the contact networks have some characteristics of ER random networks and WS small world networks, but with many more k-cores and communities. The relationships between the teachers and students play an important role in the network structure. The results provide empirical data for building contact network models in workplaces and for the study of information and epidemic spreading in workplaces.

Keywords contact networks degree distribution group structures

ZTFLH:

X959

Issue Date: 15 May 2016

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

	MA Xun
	SHEN Shifei
	NI Shunjiang
	YONG Nuo

Cite this article:

MA Xun,SHEN Shifei,NI Shunjiang, et al. Student-teacher networks in university research institutes[J]. Journal of Tsinghua University(Science and Technology), 2016, 56(5): 538-543.

URL:

http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2016.25.013 OR http://jst.tsinghuajournals.com/EN/Y2016/V56/I5/538

[1] Erd s P, Rényi A. On the evolution of random graphs[J].Publication of the Mathematical Institute of the Hungarian Academy of Sciences, 1960, 38(1):17-61.
[2] Barabâsi A L, Jeong H, Néda Z, et al. Evolution of the social network of scientific collaborations[J].Physica A Statistical Mechanics & Its Applications, 1977, 6(2):66-70.
[3] Newman M E. The structure of scientific collaboration networks[J].Working Papers, 2000,98(2):404-409.
[4] Fass C, Ginelli M, Turtle B. Six Degree of Kevin Bacon[M]. New York:Plume Books, 1996.
[5] Achacoso T B, Yamamoto W S. AY's Neuroanatomy of C. Elegans for Computation[M]. Boca Raton, Florida:CRC Press, 1991.
[6] Jeong H, Tombor B, Albert R, et al. The large-scale organization of metabolic networks[J]. Nature, 2000,407(6804):651-654
[7] Barabási A L, Albert R, Jeong H. Scale-free characteristic of random networks:The topology of the world-wide web[J].Physica A Statistical Mechanics & Its Applications, 2000,281(s1-4):9-77.
[8] Watts D J, Strogatz S H. Collective dynamics of "small-world" networks[J].Nature, 1998,393(6684):440-442.
[9] Guare J. Six Degrees of Separation:A Play[M]. New York, USA:Vintage, 1990.
[10] Barabasi A L, Albert R. Emergence of scaling in random networks[J].Science, 1999,286(5439):509-512.
[11] Seidman S B. Network structure and minimum degree[J].Social Networks,1983,5(3):269-287.
[12] Newman M E J. Modularity and community structure in networks[C]//2006 APS March Meeting. Baltimore, USA:American Physical Society, 2006:8577-8582.
[13] Pastor-Satorras R, Vespignani A. Epidemic spreading in scale-free networks[J].Physical Review Letters, 2000,86(14):3200-3203.
[14] Claudio C, Romualdo P S. Thresholds for epidemic spreading in networks[J].Physical Review Letters,2010,105(21):3305-3305.
[15] Granovetter M S. The strength of weak ties[J].Social Science Electronic Publishing, 1973,13(2):1360-1380.
[16] Watts D J, Bak P. Small worlds:The dynamics of networks between order and randomness[J]. Sigmod Record, 1999, 31(2):74-75.
[17] Albert R, Jeong H, Barabási A L. Error and attack tolerance of complex networks[J].Nature, 2000,406(6754):378-382.
[18] Hueta-Quintanilla R. Modelong social network topologies in elementary schools[J].Plos One, 2013, 8(2):e55371.
[19] Stehlé J, Voirin N, Barrat A, et al. High-resolution measurements of face-to-face contact patterns in a primary school[J]. Plos One, 2011, 6(8):23176-231789.
[20] Bollobás B, Riordan O M. Mathematical Results on Scale-free Random Graphs[M]. Weinheim:Wiley-VCH Verlag GmbH & Co. KGaA, 2003:1-37.
[21] Mahadevan P, Krioukov D, Fomenkov M, et al. Lessons from three views of the internet topology[J].Bone & Joint Journal,2013,95-B(11):1450-1452.
[22] Bae J, Kim S. Identifying and ranking influential spreaders in complex networks by neighborhood coreness[J]. Physica A Statistical Mechanics and Its Applications,2014,395(C):549-559.
[23] Adiga A, Vullikanti A K S. How Robust is the Core of a Network?[M]. Berlin Heidelberg:Springer, 2013:541-556.