scholarly journals The Art of Athlete Leadership: Identifying High-Quality Athlete Leadership at the Individual and Team Level Through Social Network Analysis

2015 ◽  
Vol 37 (3) ◽  
pp. 274-290 ◽  
Author(s):  
Katrien Fransen ◽  
Stef Van Puyenbroeck ◽  
Todd M. Loughead ◽  
Norbert Vanbeselaere ◽  
Bert De Cuyper ◽  
...  

This research aimed to introduce social network analysis as a novel technique in sports teams to identify the attributes of high-quality athlete leadership, both at the individual and at the team level. Study 1 included 25 sports teams (N = 308 athletes) and focused on athletes’ general leadership quality. Study 2 comprised 21 sports teams (N = 267 athletes) and focused on athletes’ specific leadership quality as a task, motivational, social, and external leader. The extent to which athletes felt connected with their leader proved to be most predictive for athletes’ perceptions of that leader’s quality on each leadership role. Also at the team level, teams with higher athlete leadership quality were more strongly connected. We conclude that social network analysis constitutes a valuable tool to provide more insight in the attributes of high-quality leadership both at the individual and at the team level.

2017 ◽  
Author(s):  
Katrien Fransen ◽  
Stef Van Puyenbroeck ◽  
Todd M. Loughead ◽  
Norbert Vanbeselaere ◽  
Bert De Cuyper ◽  
...  

Leaders do not operate in social vacuums, but are imbedded in a web of interpersonal relationships with their teammates and coach. The present manuscript is the first to use social network analysis to provide more insight in the leadership structure within sports teams. Two studies were conducted, including respectively 25 teams (N = 308; Mage = 24.9 years old) and 21 teams (N = 267; Mage = 24.3 years old). The reliability of a fourfold athlete leadership categorization (task, motivational, social, external leader) was established by analyzing leadership networks, which mapped the complete leadership structure within a team. The study findings highlight the existence of shared leadership in sports teams. More specifically, regarding the task and external leadership roles, no significant differences were observed between the leadership quality of coaches and athlete leaders. However, athlete leaders were perceived as better motivational and social leaders than their coaches. Furthermore, both the team captain and informal athlete leaders shared the lead on the different leadership roles. Social network analysis was found to be a pioneering but valuable tool for obtaining a deeper insight in the leadership structure within sports teams.


2019 ◽  
Vol 70 (1) ◽  
pp. 209-221 ◽  
Author(s):  
Florian Korte ◽  
Martin Lames

Abstract The aim of this study was to characterize handball from a social network analysis perspective by analyzing 22 professional matches from the 2018 European Men's Handball Championship. Social network analysis has proven successful in the study of sports dynamics to investigate the interaction patterns of sport teams and the individual involvement of players. In handball, passing is crucial to establish an optimal position for throwing the ball into the goal of the opponent team. Moreover, different tactical formations are played during a game, often induced by two-minute suspensions or the addition of an offensive player replacing the goalkeeper as allowed by the International Handball Federation since 2016. Therefore, studying the interaction patterns of handball teams considering the different playing positions under various attack formations contributes to the tactical understanding of the sport. Degree and flow centrality as well as density and centralization values were computed. As a result, quantification of the contribution of individual players to the overall organization was achieved alongside the general balance in interplay. We identified the backcourt as the key players to structure interplay across tactical formations. While attack units without a goalkeeper were played longer, they were either more intensively structured around back positions (7 vs. 6) or spread out (5 + 1 vs. 6). We also found significant differences in the involvement of wing players across formations. The additional pivot in the 7 vs. 6 formation was mostly used to create space for back players and was less involved in interplay. Social network analysis turned out as a suitable method to govern and quantify team dynamics in handball.


2020 ◽  
Author(s):  
Saeideh Heshmati ◽  
Megan Blackard ◽  
Blake Beckmann ◽  
Wallace Chipidza

In family contexts, individuals are embedded in networks of relationships. Social Network Analysis (SNA) provides a unique framework to investigate family relationships as interrelated networks above and beyond dyadic familial relationships. In the current paper, we used the notion of triadic closure to investigate how various configurations of family networks, classified by their relationship ties, differ in predicting adolescents’ experiences of loneliness. We classified different types of network structures based on whether all three family members (i.e., child, mother, father) shared high quality relationships with one another (closed) or whether one or more low quality ties existed in the family triad (open). Results indicated that, compared to adolescents in families containing one or more poor-quality ties, adolescents in families containing all high-quality relational ties experienced lower levels of loneliness, above and beyond the impact of gender, parents’ education and mental health, and family income. Simply put, adolescents’ experiences of loneliness is not tied to the number of high quality relationships they experience within the family, rather is dependent on the presence of high quality relationships among all family ties. With the introduction of one low-quality relationship within a family triad, additional low-quality relationships appear to make little difference. In line with family systems theory, our examination of the family as a whole, rather than as a summative combination of smaller relationships, indicates that a closed family structure is important for protecting adolescents against experiences of loneliness.


2016 ◽  
Vol 34 (21) ◽  
pp. 2063-2073 ◽  
Author(s):  
Todd M. Loughead ◽  
Katrien Fransen ◽  
Stef Van Puyenbroeck ◽  
Matt D. Hoffmann ◽  
Bert De Cuyper ◽  
...  

2015 ◽  
Vol 43 ◽  
pp. 28-38 ◽  
Author(s):  
Katrien Fransen ◽  
Stef Van Puyenbroeck ◽  
Todd M. Loughead ◽  
Norbert Vanbeselaere ◽  
Bert De Cuyper ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Mingzhu Yang ◽  
Haitao Chen ◽  
Yongshun Xu

As a result of complex contractual relationships, multiple stakeholders with different interests are involved in public-private partnership (PPP) projects. Compared to traditional models, PPP projects have more uncertainty. This study integrated stakeholders and risk factors in PPP projects from a network perspective to better determine how to control risks. Using social network analysis (SNA), a case study was conducted to identify the critical risk factors, and mitigation actions are proposed. The results indicated that, compared to other stakeholders, local governments play the most important role in PPP projects. Managers should therefore pay more attention to political and legal risk factors and develop reasonable risk-sharing plans. This study expands PPP risk research from the individual level to the network level and provides a visualized, innovative research paradigm for PPP risk analysis. The results can also be used by project managers for decision-making, risk management, and other processes, thus helping to achieve the sustainable management of PPP projects.


2021 ◽  
Vol 9 (4) ◽  
Author(s):  
Chenchen Ma

If you want to understand the social development and management of social network analysis, you must first know what social network analysis is. The network not only refers to the things that we usually use to surf the Internet, make calls, chat, etc., it is actually a relationship structure, a medium that links all aspects of related or unrelated things, and social network refers to the social The medium that connects various relationships is mainly to connect the individual with the social system. Everyone has his own way of behavior, has his own role in society, plays his own role, and effectively connects these individuals, just like our interpersonal communication in society, forming a social network. The Internet is actually the interaction of people in the social environment. It is similar to the Internet that we usually come into contact with. It has both restraints and development.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Carla Intal ◽  
Taha Yasseri

AbstractThe British party system is known for its discipline and cohesion, but it remains wedged on one issue: European integration. We offer a methodology using social network analysis that considers the individual interactions of MPs in the voting process. Using public Parliamentary records, we scraped votes of individual MPs in the 57th parliament (June 2017 to April 2019), computed pairwise similarity scores and calculated rebellion metrics based on eigenvector centralities. Comparing the networks of Brexit- and non-Brexit divisions, our methodology was able to detect a significant difference in eurosceptic behaviour for the former, and using a rebellion metric we predicted how MPs would vote in a forthcoming Brexit deal with over 90% accuracy.


2013 ◽  
Vol 29 (3) ◽  
pp. 59-68
Author(s):  
Marzena Fryczyńska

The purpose of this article is to show the social network analysis as the perspective of human capital evaluation. It presents interrelation between the social and human capital, the brief introduction to social network theory and its analyzing method. However, social network analysis (SNA) is the method to evaluate social capital, the author pointed out the possible SNA metrics essential in the human capital evaluation. The article shows the SNA and human capital in the individual perspective – ego. It provides the idea of the human capital evaluation in broader and more precise way.


2018 ◽  
Vol 27 (4) ◽  
pp. 577-591 ◽  
Author(s):  
Jiafu Su ◽  
Yu Yang ◽  
Kunpeng Yu ◽  
Na Zhang

Abstract Partner selection is the primary aspect of the formation of knowledge collaboration teams (KCTs). We propose a method of partner selection for KCTs based on a weighted social network analysis (SNA) method in which the individual knowledge competence and the collaboration performance of candidates are both considered. To select the desired partners, a biobjective 0-1 model is built, integrating the knowledge competence and collaboration performance, which is an NP-hard problem. Then, a multiobjective genetic algorithm (MOGA) is developed to solve the proposed model. Finally, a real-world example is provided to illustrate the applicability of the model, and the MOGA is implemented to search for Pareto solutions of partner selection for KCT in this case. Moreover, some simulation examples are used to test the efficiency of the algorithm. The results suggest that the proposed method can support effective and practical partner selection.


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