Urban Network Analysis by Random Graphs and the Estimate of the Length of Minimum Spanning Trees

1985 ◽  
Vol 20 (0) ◽  
pp. 97-102
Author(s):  
Masao Furuyama
NeuroImage ◽  
2014 ◽  
Vol 88 ◽  
pp. 308-318 ◽  
Author(s):  
P. Tewarie ◽  
A. Hillebrand ◽  
M.M. Schoonheim ◽  
B.W. van Dijk ◽  
J.J.G. Geurts ◽  
...  

Author(s):  
Florian Korte ◽  
Martin Lames

Team sports are complex dynamic systems based on the frequent interaction of various players. Recently, social network analysis has been introduced to the study of sports dynamics in order to quantify the involvement of individual players in the interplay and to characterize the organizational processes used by teams. Nonetheless, only a limited set of team sports has been assessed to date, and the focus of most studies has been on the application of small sets of network metrics to a single sport. Our study aims at comparing the network patterns of different team sports in order to contribute to the understanding of their underlying nature. It considers three invasion games, namely professional matches from basketball, football and handball. By applying relevant centrality measures and minimum spanning trees a first comparison between the nature of interplay in various team sports is offered as well as a deeper understanding of the role of different tactical positions in each sport. The point guard in basketball, defensive midfielder in football and center in handball are identified as the most central tactical positions. Direct interplay is most balanced in football followed by basketball and handball. A visualization of the basic structure of interplay for each sport is achieved through minimum spanning trees.


2020 ◽  
Vol 16 (1) ◽  
pp. 1-27
Author(s):  
Gopal Pandurangan ◽  
Peter Robinson ◽  
Michele Scquizzato

2019 ◽  
Vol 5 (1) ◽  
pp. 444-467
Author(s):  
Katherine A. Crawford

AbstractOstia, the ancient port of Rome, had a rich religious landscape. How processional rituals further contributed to this landscape, however, has seen little consideration. This is largely due to a lack of evidence that attests to the routes taken by processional rituals. The present study aims to address existing problems in studying processions by questioning what factors motivated processional movement routes. A novel computational approach that integrates GIS, urban network analysis, and agent-based modelling is introduced. This multi-layered approach is used to question how spectators served as attractors in the creation of a processional landscape using Ostia’s Campo della Magna Mater as a case study. The analysis of these results is subsequently used to gain new insight into how a greater processional landscape was created surrounding the sanctuary of the Magna Mater.


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