IJAPM 2017 Vol.7(4): 275-283 ISSN: 2010-362X
doi: 10.17706/ijapm.2017.7.4.275-283
doi: 10.17706/ijapm.2017.7.4.275-283
From Small World Phenomenon to Correlation Analysis in a Temporal Landline Phone Call Network Graph Series
Orgeta Gjermëni, Miftar Ramosaço
Abstract—Is a temporal landline phone call network graph series led by the presence of small world
phenomenon? Are order and average vertex degree of the network graphs associated to small – world –
ness? How are related size and order of the network graphs in this temporal series? A continuously graded
notion of small – world – ness is used to study the presence of small world phenomenon. Spearman’s and
Kendall’s correlation coefficients are used to perform a non – parametric correlation analysis between small
– world – ness and order/average vertex degree. Linear regression on log – transformed quantities is used
to analyse the relationship between size and order. It is achieved by the study that, the presence of small –
world – ness is confirmed in each time step of the series, and there is no significant association between
small – world – ness and graph order/average vertex degree. A significant positive power relationship
between size and order is found.
Index Terms—Non–parametric correlation, small world, temporal network graph series.
The authors are with Department of Mathematics, University “Ismail Qemali”, Str. Kosova, 9400 Vlore, Albania (email: o.gjermeni@gmail.com).
Index Terms—Non–parametric correlation, small world, temporal network graph series.
The authors are with Department of Mathematics, University “Ismail Qemali”, Str. Kosova, 9400 Vlore, Albania (email: o.gjermeni@gmail.com).
Cite: Orgeta Gjermëni, Miftar Ramosaço, "From Small World Phenomenon to Correlation Analysis in a Temporal Landline Phone Call Network Graph Series," International Journal of Applied Physics and Mathematics vol. 7, no. 4, pp. 275-283, 2017.
General Information
ISSN: 2010-362X
Frequency: Bimonthly (2011-2014); Quarterly (Since 2015)
DOI: 10.17706/IJAPM
Editor-in-Chief: Prof. Haydar Akca
Abstracting/ Indexing: Index Copernicus, EI (INSPEC, IET), Chemical Abstracts Services (CAS), Electronic Journals Library, Nanowerk Database, Google Scholar, EBSCO, and ProQuest
E-mail: ijapm@iap.org
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