Cluster identification in maritime flows with stochastic methods

Charles Bouveyron; Pierre Latouche; Rawya Zreik; César Ducruet

doi:10.4324/9781315692852-24

Cluster identification in maritime flows with stochastic methods

Charles Bouveyron, Pierre Latouche, Rawya Zreik, César Ducruet

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Since the original work of Moreno (1934), network data has become ubiquitous in computational social sciences (Snijders and Nowicki, 1997). Applications range from the study of social interactions in historical sciences (Jernite et al., 2014; Villa et al., 2008) to the analysis of maritime flows in geography (Ducruet, 2013). In particular, network analysis was applied recently to a medieval social network in Jernite et al. (2014), where the authors consider the clustering of an ecclesiastical network in Merovingian Gaul. Cluster analysis in the network context consists in grouping vertices sharing homogeneous connection profiles.

Original language	English
Title of host publication	Maritime Networks
Subtitle of host publication	Spatial structures and time dynamics
Publisher	Taylor and Francis
Pages	210-228
Number of pages	19
ISBN (Electronic)	9781317434559
ISBN (Print)	9781138911253
DOIs	https://doi.org/10.4324/9781315692852-24
Publication status	Published - 1 Jan 2015
Externally published	Yes

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title = "Cluster identification in maritime flows with stochastic methods",

abstract = "Since the original work of Moreno (1934), network data has become ubiquitous in computational social sciences (Snijders and Nowicki, 1997). Applications range from the study of social interactions in historical sciences (Jernite et al., 2014; Villa et al., 2008) to the analysis of maritime flows in geography (Ducruet, 2013). In particular, network analysis was applied recently to a medieval social network in Jernite et al. (2014), where the authors consider the clustering of an ecclesiastical network in Merovingian Gaul. Cluster analysis in the network context consists in grouping vertices sharing homogeneous connection profiles.",

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AU - Bouveyron, Charles

AU - Latouche, Pierre

AU - Zreik, Rawya

AU - Ducruet, César

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Cluster identification in maritime flows with stochastic methods

Abstract

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