Fitting truncated geometric distributions in large scale real world networks

DOI10.1016/j.tcs.2014.05.003zbMath1360.05160OpenAlexW1972047134MaRDI QIDQ403004

Swarup Chattopadhyay, Chivukula A. Murthy, Sankar Kumar Pal

Publication date: 29 August 2014

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2014.05.003

zbMATH Keywords

heavy-tailed distributionssocial networksmaximum likelihoodpower-law distributionsnatural computingtruncated geometric distribution

Mathematics Subject Classification ID

Small world graphs, complex networks (graph-theoretic aspects) (05C82) Statistics of extreme values; tail inference (62G32) Combinatorial probability (60C05)

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Uses Software

• SNAP
• KronFit
• plfit

Cites Work

• On a generalization of the Hurwitz zeta function \(\zeta{}(s,a)\)
• Histogram thresholding by minimizing graylevel fuzziness
• Statistical mechanics of complex networks
• Emergence of Scaling in Random Networks
• Power-Law Distributions in Empirical Data
• Fuzzy thresholding: mathematical framework, bound functions and weighted moving average technique
• A Brief History of Generative Models for Power Law and Lognormal Distributions
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