Performance Analysis Tool for network analysis on team sports: A case study of FIFA Soccer World Cup 2014

2016 ◽  
Vol 230 (3) ◽  
pp. 158-170 ◽  
Author(s):  
Filipe Manuel Clemente ◽  
Frutuoso Silva ◽  
Fernando Manuel Lourenço Martins ◽  
Dimitris Kalamaras ◽  
Rui Sousa Mendes
Keyword(s):  
Network Analysis ◽  
Performance Analysis ◽  
Team Sports ◽  
Analysis Tool ◽  
World Cup

scholarly journals Optimum Bridge Site Selection using Network Analysis Tool (Al Muwaffaqiyah Bridge in Iraq as A case Study)

2017 ◽  
Vol 26 (2) ◽  
pp. 70-86
Author(s):  
Abdulhaq Hadi Abed Ali
Keyword(s):  
Network Analysis ◽  
Site Selection ◽  
Traffic Congestion ◽  
Economic Feasibility ◽  
Analysis Tool ◽  
Bridge Site ◽  
Network Analyst ◽  
The City ◽  
Crossing Point

The main objective of this research is to select the best site for the establishment of  a new bridge on the Al Gharraf river within the limits of the Al Muwaffaqiyah region . Al Muwaffaqiyah region is located in Wasit province in Iraq. The study area is divided into multiple zones . Three alternatives are proposed to construct the bridge site. The best one is selected using network analyst tool of ArcGIS software depending on the largest number of routes passing between zones. The route link between both sides of Al Gharraf river in Al Muwaffaqiyah region is one of the important projects in the city. The project will provide a new crossing point on Al Gharraf river . The proposed route will contribute to reduce traffic congestion depending on the foundations of planning and traffic so that gives the desired result of this project in terms of the location and importance of economic feasibility.

Selecting the best team from the players in the 2018 FIFA World Cup using performance analysis

2020 ◽  
Vol 42 (1) ◽  
pp. 15-32
Author(s):  
Tugay Karadag ◽  
Coskun Parim ◽  
Erhan Cene
Keyword(s):  
Performance Analysis ◽  
Topsis Method ◽  
World Cup ◽  
Fifa World Cup ◽  
Performance Variables

This study aims to determine the best player in each position from among the footballers who played in the 2018 World Cup in Russia. Player statistics for those who played over 200 minutes were obtained from the FIFA official and transfermarkt.com websites. Selected performance variables were then calculated per 100 minutes and the results were normalised. Kruskal Wallis H and Bonferroni Tests were used to determine the weights of the variables before the analysis. As the variables will have different values according to the players’ positions, the weights for each position were calculated separately. Finally, the performances of the players on the basis of the variables used were ranked for each position using the TOPSIS method. A second analysis was undertaken including only those players whose ages were under 28 and goalkeepers whose ages were under 32. The purpose of this analysis was to identify players with potential that had been largely unrecognised up until the tournament. It was found that both the teams selected in this way were dominated by players from European clubs. Ninety-two percent of the top sixty players in the analysis were playing in European leagues with 85% playing in Spain, England, Italy, Germany, France or Russia.

Keeping the Vision Alive: The Role of Networks in National Memorial Building A Case Study of the Vietnam Women’s Memorial and the Black Revolutionary War Patriots Memorial

Public Voices ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. 89
Author(s):  
Amy Probsdorfer Kelley ◽  
John C. Morris
Keyword(s):  
Network Analysis ◽  
Revolutionary War ◽  
The Other ◽  
Perceived Popularity ◽  
National Mall ◽  
Compare And Contrast

The process to win approval to build a national memorial on the National Mall inWashington, DC is both long and complex. Many memorials are proposed, but few are chosen to inhabit the increasingly scarce space available on the Mall. Through the use of network analysis we compare and contrast two memorial proposals, with an eye toward understanding why one proposal was successful while the other seems to have failed. We conclude that the success of a specific memorial has less to do with the perceived popularity of the person or event to be memorialized, and more to do with how the sponsors use the network of people and resources available to advocate for a given proposal.

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