Rad HAZU, Matematičke znanosti, Vol. 23 (2019), 31-49.
ONE-ALPHA WEIGHTED NETWORK DESCRIPTORS
Tanja Vojković and Damir Vukičević
Department of Mathematics, Faculty of Science, University of Split, 21000 Split, Croatia
e-mail: tanja@pmfst.hr
e-mail: vukicevi@pmfst.hr
Abstract. Complex networks are often used to model objects and
their relations. Network descriptors are graph-theoretical invariants assigned
to graphs that correspond to complex networks. Transmission and
betweenness centrality are well known network descriptors and networkness
and network surplus have been recently analyzed. All these four descriptors
are based on the unrealistic assumption about equal communication
between all vertices. Here, we amend this by assuming that vertices on
the distance larger then one communicate less than those that are neighbors.
We analyze network descriptors for all possible values of the factor
that measures reduction in the communication of the vertices that are not
neighbors. We term these descriptors one-alpha descriptors and determine
their extremal values.
2010 Mathematics Subject Classification.
05C82, 05C35.
Key words and phrases. Network descriptors, complex networks, extremal graph
theory.
Full text (PDF) (free access)
DOI: https://doi.org/10.21857/94kl4cxxjm
References:
- R. Albert, Scale-free networks in cell biology, J. Cell Sci. 118 (2005), 4947-4957.
CrossRef
- J. M. Anthonisse, The Rush in a Graph, (1st edition), Mathematisch Centrum, Amsterdam,
1971.
- S. Antunović, T. Kokan, T. Vojković and D. Vukičević, Generalised network descriptors,
Glas. Mat. Ser. III 48 (2013), 211-230.
MathSciNet
CrossRef
- S. Antunović, T. Kokan, T. Vojković and D. Vukičević, Exponential Generalised Network
Descriptors, Adv. Math. Commun. 13 (2019), 405-420.
MathSciNet
- A. L. Barabási, Linked: How Everything is Connected to Everything Else and What
It Means, (1st edition), Persus Publishing, Cambridge, 2002.
- U. Brandes, A faster algorithm for betweenness centrality, J. Math. Sociol. 25 (2001),
163-177.
CrossRef
- B. Bollobás, Modern Graph Theory, (1st edition), Springer, New York, 1998.
MathSciNet
CrossRef
- G. Caporossi, M. Paiva, D. Vukičević and M. Segatto, Centrality and Betweenness:
Vertex and Edge decomposition of the Wiener Index, MATCH Commun. Math. Comput.
Chem. 68 (2012), 293-302.
MathSciNet
- T. H. Cormen, C. E. Leiserson, R. L. Rivest and C. Stein, Introduction to Algorithms,
(2nd edition), MIT Press and McGraw-Hill, Cambridge, 2001.
MathSciNet
- L. Freeman, A Set of Measures of Centrality Based on Betweenness, Sociometry 40
(1977), 35-41.
- L. Freeman, Centrality in social networks: Conceptual clarification, Soc. Networks 1
(1978), 215-239.
- P. De Leenheer, D. Angeli and E. D. Sontag, Monotone chemical reaction networks,
J. Math. Chem. 41 (2007), 295-314.
MathSciNet
CrossRef
- S. Majstorović and G. Caporossi, Bounds and relations involving adjusted centrality
of the vertices of a tree, Graph. Combin. 31.6 (2015), 2319-2334.
MathSciNet
CrossRef
- P. R. Monge and N. Contractor, Theories of Communication Networks, Oxford University
Press, Oxford, 2003.
- M. E. J. Newman, Networks: An Introduction, (1st edition), Oxford University Press,
Oxford, 2010.
MathSciNet
CrossRef
- N. D. Price, J. L. Reed, J. A. Papin, S. J. Wiback and B. O. Palsson, Network-based
analysis of metabolic regulation in the human red blood cell, J. Theor. Biol. 225 (2003),
185-94.
CrossRef
- J. Šiagiová and J. Širán, Approaching the Moore bound for diameter two by Cayley
graphs, J. Combin. Theory B 102 (2012), 470-473.
MathSciNet
CrossRef
- D. Vukičević and G. Caporossi, Network descriptors based on betweenness centrality
and transmission and their extremal values, Discrete Appl. Math. 161 (2013),
2678-2686.
MathSciNet
CrossRef
- H. Wiener, Structural determination of paraffin boiling points, J. Am. Chem. Soc. 69
(1947), 17-20.
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