Integrating communication and passing networks in football using social network analysis

McLean, Scott; Salmon, Paul M.; Gorman, Adam D.; Dodd, Karl; Solomon, Colin

doi:10.1080/24733938.2018.1478122

Cited by 17 publications

(29 citation statements)

References 30 publications

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“…Network analysis is a commonly used method to assess passing interactions in other sports (Ribeiro et al, 2017). Network analysis is used to analyze passing networks and provides quantifiable metrics of the connectivity of the team, and identifies the influential players within the team (Clemente et al, 2015a,b; McLean et al, 2017a,c, 2018a). The advantage of measuring passing networks over traditional approaches is the consideration of interdependencies and relational perspectives relative to the entire team, compared to individual assessment of passing (Figure 3) (Wäsche et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

A Systems Approach to Performance Analysis in Women’s Netball: Using Work Domain Analysis to Model Elite Netball Performance

et al. 2019

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Netball is a newly professional women’s sport, as such there has been little research conducted investigating performance analysis (PA) in elite netball. The aim of this study was to develop a model of the elite netball performance system to identify the complex relationships among key performance indicators. Eleven elite subject matter experts (SMEs) participated in workshops to produce a systems model of the netball match performance. The model was developed using the work domain analysis (WDA) method. A model of the netball match performance system was produced showing the interrelated objects, processes, functions, values, and purposes involved in elite level netball matches. The model identified the components of elite level netball performance and the interactions and relationships between them. The output of this research has identified novel PA measures including passing and possession measures, measures of cognitive performance, and measures related to physical activity. Netball is a complex sport, involving multiple dynamic and interrelated components. Consequently, there is an opportunity to develop holistic PA measures that focus on interacting components, as opposed to components in isolation.

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Section: Discussionmentioning

confidence: 99%

A Systems Approach to Performance Analysis in Women’s Netball: Using Work Domain Analysis to Model Elite Netball Performance

et al. 2019

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“…Connectivity between team members in soccer does not, however, only relate to passing, players are also connected via verbal and nonverbal communication ( Mclean et al, 2018c ). Team members use intra-team communication (ITC) for information exchange during matches in order to optimise performance ( Sullivan and Feltz, 2003 ).…”

Section: Introductionmentioning

confidence: 99%

The Communication and Passing Contributions of Playing Positions in a Professional Soccer Team

McLean

Salmon

Gorman

et al. 2021

Journal of Human Kinetics

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Determining the connectivity of team members in sport provides important information on team functioning. In soccer, teams that are highly connected via passing have been shown to be more successful compared to teams less connected via passing. In addition to passing connectivity, players are connected with each other via intra-team communication (ITC) through verbal instruction, and nonverbal cues. Despite ITC being a known component of effective teamwork to enhance strategy, efficiency, motivation and concentration, ITC of individual playing positions has not previously been measured during soccer games, nor has it been associated with passing connections in a performance context. In this study, the received ITC that was perceived to be beneficial to performance during 22 competitive professional soccer matches was measured, in conjunction with the passing connections between team members. In total, 526 ITC ratings were collected and analysed, and a total of 7,693 passes were analysed. From the ITC and passing measures, a player connectivity index (PCI) representing the coupling of ITC and passing, was developed to determine the overall connectivity of the individual playing positions. Social network analysis (SNA) centrality metrics were used to determine the connectivity of the playing positions. There were significant (p < .05) main effects between playing positions for beneficial ITC, passing, and the PCI for centrality metrics, indicating that different playing positions interact with other team members differently. Pairwise comparisons indicated significant differences between individual playing positions for ITC, passing and the PCI. The two central defenders and the two central defensive midfielders had the highest mean values for ITC, passing, and the PCI compared to the other playing positions. The current findings suggest that central defenders and central defensive midfielders are positioned tactically to be highly involved in the build-up of passing moves, and to deliver beneficial task related information to team members. These findings have implications for performance analysis, coaches, and for talent identification.

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“…or offline through face-to-face contacts [40] on public places (such as Universities, Schools, Colleges, Conferences etc.). Moreover, family network (formed by member of family) [35], farmer network (formed by farmers from the village) [49], business network (formed by business menŠs in the business) [19], employee network (formed by employees in the organizations) [48] and player network (formed by players on the ground) [32] are other examples of offline social networks. Nowadays, majority of people are using social apps on smart phones to connect with the people of similar interest.…”

Section: Introductionmentioning

confidence: 99%

SAM Centrality: a Hop-Based Centrality Measure for Ranking Users in Social Network

Samad¹,

Qadir²,

Nawaz³

et al. 2020

EAI Endorsed Transactions on Industrial Networks and Intelligen

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Majority of researcher are attracted by the social network analysis due to the rush of people towards social network. Along with many problems, social network analysis is facing an interesting problem that is ranking of users in social network which is gaining more attention due to the increasing number of social users. Measuring centrality of nodes in a social graph, have been important issue in social network analysis. Lot of centrality methods have been proposed in this regard. In this paper, hop based centrality measures called SAM is purposed. To investigate the measure, we applied on various dataset. In comparisons, on all these social graphs, we obtain better results than other centrality measures (i.e., Degree, PageRank, Betweeness and Closeness) using SIR model.

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Integrating communication and passing networks in football using social network analysis

Cited by 17 publications

References 30 publications

A Systems Approach to Performance Analysis in Women’s Netball: Using Work Domain Analysis to Model Elite Netball Performance

A Systems Approach to Performance Analysis in Women’s Netball: Using Work Domain Analysis to Model Elite Netball Performance

The Communication and Passing Contributions of Playing Positions in a Professional Soccer Team

SAM Centrality: a Hop-Based Centrality Measure for Ranking Users in Social Network

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