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Academic computer network traffic statistical analysis

Authors: Eimantas Garsva; Nerijus Paulauskas; Gediminas Grazulevicius; Lech Gulbinovic;

Academic computer network traffic statistical analysis

Abstract

The article presents the statistical analysis results of an academic computer network traffic using the data gathered with NetFlow protocol. Results of the statistical analysis are presented in a visual manner which reveals the tendencies of computer network traffic distributions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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