Structural properties of the line-graphs associated to directed networks

Regino Criado; Julio Flores; Alejandro J. García del Amo; Miguel Romance

doi:10.3934/nhm.2012.7.373

Article Contents

2012, Volume 7, Issue 3: 373-384. Doi: 10.3934/nhm.2012.7.373

This issue Previous Article Serendipity in social networks Next Article Modeling international crisis synchronization in the world trade web

Structural properties of the line-graphs associated to directed networks

1.
Departamento de Matemática Aplicada, Universidad Rey Juan Carlos, 28933 Móstoles (Madrid)
2.
Departamento de Matemáatica Aplicada, Universidad Rey Juan Carlos, 28933 Móstoles (Madrid)
3.
Departamento de Matemática Aplicada, Universidad Rey Juan Carlos, 28933 Móstoles (Madrid), Spain

Received: December 2011

Revised: May 2012

Published: September 2012

Abstract / Introduction Related Papers Cited by

Abstract

The centrality and efficiency measures of an undirected network $G$ were shown by the authors to be strongly related to the respective measures on the associated line graph $L(G)$. In this note we extend this study to a directed network $\vec{G}$ and its associated directed network $\vec{L}(\vec{G})$. The Bonacich centralities of these two networks are shown to be related in a surprisingly simpler manner than in the non directed case. Efficiency is also considered and the corresponding relations established. In addition, an estimation of the clustering coefficient of $\vec{L}(\vec{G})$ is given in terms of the clustering coefficient of $\vec{G}$, and by means of an example we show that a reverse estimation cannot be expected.
Given a non directed graph $G$, there is a natural way to obtain from it a directed line graph, namely $\vec{L}(D(G))$, where the directed graph $D(G)$ is obtained from $G$ in the usual way. With this approach the authors estimate some parameters of $\vec{L}(D(G))$ in terms of the corresponding ones in $L(G)$. Particularly, we give an estimation of the norm difference between the centrality vectors of $\vec{L}(D(G))$ and $L(G)$ in terms of the Collatz-Sinogowitz index (which is a measure of the irregularity of $G$). Analogous estimations are given for the efficiency measures. The results obtained strongly suggest that for a given non directed network $G$, the directed line graph $\vec{L}(D(G))$ captures more adequately the properties of $G$ than the non directed line graph $L(G)$.

Keywords:

Mathematics Subject Classification: Primary: 05C90, 05C75; Secondary: 68M10, 94C15, 90B18.

Citation:

Related Papers

Cited by

References

[1]	R. Albert and A. L. Barabási, Statistical mechanics of complex networks, Rev. Mod. Phys., 74 (2002), 47-97.doi: 10.1103/RevModPhys.74.47.
[2]	J. Anez, T. De La Barra and B. Perez, Dual graph representation of transport networks, Trans. Res. B, 30 (1996), 209-216.
[3]	C. Balbuena, D. Ferrero, X. Marcote and I. Pelayo, Algebraic properties of a digraph and its line digraph, J. of Interconnection Networks, 4 (2003), 377-393.doi: 10.1142/S0219265903000933.
[4]	S. Boccaletti, V. Latora, Y. Moreno, M. Chavez and D. U. Hwang, Complex networks: Structure and dynamics, Physics Reports, 424 (2006), 175-308.doi: 10.1016/j.physrep.2005.10.009.
[5]	P. Bonacich, Factoring and weighing approaches to status scores and clique information, J. Math. Soc., 2 (1972), 113.doi: 10.1080/0022250X.1972.9989806.
[6]	P. Bonacich and P. Lloyd, Eigenvectors-like measures of centrality for asymetric relations, Soc. Netw., 23 (2001), 191.doi: 10.1016/S0378-8733(01)00038-7.
[7]	L. Collatz and U. Sinogowitz, Spektren endlicher grafen, Abh. Math. Sem. University Hamburg., 21 (1957), 63-77.doi: 10.1007/BF02941924.
[8]	R. Criado, J. Flores, A. García del Amo and M. Romance, Analytical relationships between metric and centrality measures of a network and its dual, J. Comput. Appl. Math., 235 (2011), 1775-1780.doi: 10.1016/j.cam.2010.04.011.
[9]	R. Criado, J. Flores, A. García del Amo and M. Romance, Centrality and measure of irregularity, Preprint, 2011.
[10]	P. Crucitti, V. Latora and S. Porta, Centrality in networks of urban streets, Chaos, 16 (2006), 015113.doi: 10.1063/1.2150162.
[11]	P. Crucitti, V. Latora and S. Porta, Centrality measures in spatial networks of urban streets, Phys. Rev. E, 73 (2006), 036125.doi: 10.1103/PhysRevE.73.036125.
[12]	C. J. L. Gross and J. Yellen, "Handbook of Graph Theory," CRC Press, New Jersey, 2004.
[13]	V. Latora and M. Marchiori, Efficient behavior of small-world networks, Phys. Rev. Lett., 87 (2001), 198701.doi: 10.1103/PhysRevLett.87.198701.
[14]	R. L. Hemminger and L. W. Beineke, Line graphs and line digraphs, in "Selected Topics in Graph Theory" (eds. L. W. Beineke and R. J. Wilson), Academic Press Inc., (1978), pp. 271305.
[15]	M. B. Hua, R. Jianga, R. Wang and Q. S. Wu, Urban traffic simulated from the dual representation: Flow, crisis and congestion, Physics Letters A, 373 (2009), 2007-2011.
[16]	M. E. and J. Newman, The structure and function of complex networks, SIAM Review, 45 (2003), 167-256.doi: 10.1137/S003614450342480.
[17]	M. E. and J. Newman, "Networks: An Introduction," Oxford Univ. Press, Oxford, 2010.
[18]	M. E., J. Newman, A. L. Barabási and D. J. Watts, "The Structure and Dynamics of Networks," Princeton Univ. Press, Princeton, New Jersey, 2006.
[19]	P. Ren, R. C. Wilson and E. R. Hancock, Characteristic polynomial analysis on matrix representations on graphs, LNCS, 5534/2009 (2009), 243-252.
[20]	P. Ren, R. C. Wilson and E. R. Hancock, Graph characterization via Ihara coefficients, EEE Trans. on Neural Networks, 22 (2011), 233-245.
[21]	D. Volchenkov and Ph. Blanchard, Transport networks revisited: Why dual graphs?, arXiv:0710.5494.
[22]	S. Wasserman and K. Faust, "Social Networks Analysis," Cambridge Univ. Press, 1994.