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Modeling human dialogue-the case of group communications in trunked mobile telephony

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dc.contributor.author Xenikos, DG en
dc.date.accessioned 2014-03-01T01:31:12Z
dc.date.available 2014-03-01T01:31:12Z
dc.date.issued 2009 en
dc.identifier.issn 0378-4371 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/19752
dc.subject Communications en
dc.subject Complex networks en
dc.subject Dynamics of social systems en
dc.subject.classification Physics, Multidisciplinary en
dc.subject.other Complex networks en
dc.subject.other Dynamics characteristic en
dc.subject.other Dynamics of social systems en
dc.subject.other Group communications en
dc.subject.other Human dialogues en
dc.subject.other Log-normal en
dc.subject.other Mobile telephony en
dc.subject.other Poisson statistic en
dc.subject.other Power-law tail en
dc.subject.other Communication en
dc.subject.other Mobile telephone exchanges en
dc.subject.other Poisson distribution en
dc.subject.other Risk assessment en
dc.subject.other Risk management en
dc.subject.other Stochastic models en
dc.subject.other Wireless networks en
dc.title Modeling human dialogue-the case of group communications in trunked mobile telephony en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.physa.2009.08.001 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.physa.2009.08.001 en
heal.language English en
heal.publicationDate 2009 en
heal.abstract In this report we study the dynamics characteristics of conversations among several participants, analyzing trunked mobile telephony databases. We find that the duration of the dialogue sessions deviates systematically from the predictions of Poisson statistics, following probability distributions with either log-normal or power law tail. We propose that such a behavior can be described using the Bouchaud-Mezard (B-M) stochastic model, which suggests that the two probability distributions correspond to different types of human networking in conversations. We discuss the implications of our results in risk assessment in communications. (C) 2009 Elsevier B.V. All rights reserved. en
heal.publisher ELSEVIER SCIENCE BV en
heal.journalName Physica A: Statistical Mechanics and its Applications en
dc.identifier.doi 10.1016/j.physa.2009.08.001 en
dc.identifier.isi ISI:000270618600014 en
dc.identifier.volume 388 en
dc.identifier.issue 23 en
dc.identifier.spage 4910 en
dc.identifier.epage 4918 en


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