Korean university life in a network perspective: Dynamics of a large affiliation network

By Petter Holme, Sung Min Park, Beom Jun Kim, Christofer R Edling. 2004

148 citations recorded by the source corpus.

We investigate course registration data of 18 semesters at a Korean University to portray the time evolution of students’ positions in the network of fellow students. Apart from being a study of the social positions of students, the present work is also an example of how large-scale, time resolved, affiliation networks can be analyzed. For example, we discuss the proper definitions of weights, and propose a redefined weighted clustering coefficient. Among other things, we find that the students enter the network at the center and are gradually diffusing towards the periphery. On the other hand, the ties to the classmates of the first semester will, on average, become stronger as time progresses.

Subfields: Experimental and Cognitive Psychology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/7882a08e75faebcab7b47193061ebb34b7d5e5d5

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In Experimental and Cognitive Psychology

In Statistical and Nonlinear Physics

Citations in the corpus

SOCPROG programs: analysing animal social structures (2009, unknown): “SOCPROG uses the matrix definition of clustering coefficient for weighted networks of Holme et al. (2007) .”
Generalized affiliation indices extract affiliations from social network data (2015, background): “…of how well the associates of an individual are themselves associated using the matrix definition of clustering coefficient for weighted networks of Holme et al. (2007)); affinity (the strength of an individual’s associates, weighted by the association index between the individual and each of…”
Analyzing and modeling real-world phenomena with complex networks: a survey of applications (2007, methodology): “A student affiliation network was built by Holme and collabor ators, from officially registered classmates during a period of 9 years in Ajou Universit y [90].”
Social cohesion in a hierarchically structured embayment population of Indo-Pacific bottlenose dolphins (2009, background): “These included the strength, which is a measure of gregariousness and is the sum of the association indices for each individual (Barthe ´ lemy et al. 2005), the clustering coefficient, which is the proportion of an individual’s neighbours who are themselves neighbours (a measure of ‘cliquishness’ as”