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Recently, a complex network based method of Visibility Graph has been appliedto confirm the scale-freeness and presence of fractal properties in the processof multiplicity fluctuation. Analysis of data obtained from experiments onhadron-nucleus and nucleus-nucleus interactions results in values ofPower-of-Scale-freeness-of-Visibility-Graph-(PSVG) parameter extracted from thevisibility graphs. Here, the relativistic nucleus-nucleus interaction data havebeen analysed to detect azimuthal-anisotropy by extending the Visibility Graphmethod and extracting the average clustering coefficient, one of the importanttopological parameters, from the graph. Azimuthal-distributions correspondingto different pseudorapidity-regions around the central-pseudorapidity value areanalysed utilising the parameter. Here we attempt to correlate the conventionalphysical significance of this coefficient with respect to complex-networksystems, with some basic notions of particle production phenomenology, likeclustering and correlation. Earlier methods for detecting anisotropy inazimuthal distribution, were mostly based on the analysis of statisticalfluctuation. In this work, we have attempted to find deterministic informationon the anisotropy in azimuthal distribution by means of precise determinationof topological parameter from a complex network perspective.

Azimuthal Anisotropy in High Energy Nuclear Collision - An Approach based on Complex Network Analysis