User Guide
Why can I only view 3 results?
You can also view all results when you are connected from the network of member institutions only. For non-member institutions, we are opening a 1-month free trial version if institution officials apply.
So many results that aren't mine?
References in many bibliographies are sometimes referred to as "Surname, I", so the citations of academics whose Surname and initials are the same may occasionally interfere. This problem is often the case with citation indexes all over the world.
How can I see only citations to my article?
After searching the name of your article, you can see the references to the article you selected as soon as you click on the details section.
 Views 51
 Downloands 18
Examining Transfer Directions in 2019-2020 Season in Turkey by Means of Social Network Analysis
2020
Journal:  
Turkish Journal of Sport and Exercise
Author:  
Abstract:

The structural change in world football has also reflected on Turkey transfer market. In these concepts, clubs, considering their available economic possibilities, aim to realize the best transfer. In this study, the aim is to examine football player transfers conducted in 2019-2020 Super League Cemil Usta Season by measures regarding social network analysis. The studies were realized through 941 transfer data actualizing, 2019-2020 Season. During analyzing data, NodeXL Software was used. As a result of the study, 941 transfers actualized between 345 clubs in 2019-2020 Super League Cemil Usta Season. It was identified that the clubs that purchased the most football players were Kayserispor” “Çaykurrizespor”, and “Kasımpaşa” and the ones that sold the most football players were “Çaykur Rizespor” “Alanyaspor” “Fenerbahçe”. It revealed that “Kayserispor” was the most important club serving as a bridge to be able to interact with the other clubs in realizing transfers in 2019 – 2020 Season.

Keywords:

Examining Transfer Directions in 2019-2020 Season in Turkey by Means of Social Network Analysis
2020
Author:  
Abstract:

The structural change in world football has also reflected on Turkey transfer market. In these concepts, clubs, considering their available economic possibilities, aim to realize the best transfer. In this study, the objective is to examine football player transfers conducted in 2019-2020 Super League by measures regarding social network analysis. The studies were realized through 941 transfer data actualizing, 2019-2020 Season. During analysis data, NodeXL Software was used. As a result of the study, 941 transfers updated between 345 clubs in 2019-2020 Super League. It was identified that the clubs that purchased the most football players were Kayserispor" "Caykurrizespor", and "Kasımpaşa" and the ones that sold the most football players were "Caykur Rizespor" "Alanyaspor" "Fenerbahçe". It revealed that "Kayserispor" was the most important club serving as a bridge to be able to interact with the other clubs in realizing transfers in 2019 - 2020 Season.

Keywords:

0
2020
Author:  
Citation Owners
Information: There is no ciation to this publication.
Similar Articles






Turkish Journal of Sport and Exercise

Field :   Spor Bilimleri

Journal Type :   Ulusal

Metrics
Article : 626
Cite : 656
2023 Impact : 0.098
Turkish Journal of Sport and Exercise