Using Network Science to Analyse Football Passing Networks: Dynamics, Space, Time, and the Multilayer Nature of the Game

From the diversity of applications of Network Science, in this Opinion Paper we are concerned about its potential to analyze one of the most extended group sports: Football (soccer in U.S. terminology). As we will see, Network Science allows addressing different aspects of the team organization and performance not captured by classical analyses based on the performance of individual players. The reason behind relies on the complex nature of the game, which, paraphrasing the foundational paradigm of complexity sciences "can not be analyzed by looking at its components (i.e., players) individually but, on the contrary, considering the system as a whole" or, in the classical words of after-match interviews "it's not just me, it's the team".

[1]  E A Leicht,et al.  Suppressing cascades of load in interdependent networks , 2011, Proceedings of the National Academy of Sciences.

[2]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[3]  J. L. Peña.  A Markovian model for association football possession and its outcomes , 2014, 1403.7993.

[4]  S. Shen-Orr,et al.  Network motifs: simple building blocks of complex networks. , 2002, Science.

[5]  Gudberg K. Jonsson,et al.  Dynamics of the game in soccer: Detection of T-patterns , 2012 .

[6]  Jeffrey Johnson,et al.  Hypernetworks: Multidimensional relationships in multilevel systems , 2016 .

[7]  Duarte Araújo,et al.  Network Characteristics of Successful Performance in Association Football. A Study on the UEFA Champions League , 2017, Front. Psychol..

[8]  Mason A. Porter,et al.  Multilayer networks , 2013, J. Complex Networks.

[9]  Javier López Peña,et al.  Who can replace Xavi? A passing motif analysis of football players , 2015, ArXiv.

[10]  Javier M. Buldú,et al.  Functional brain networks: great expectations, hard times and the big leap forward , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.

[11]  Jaime Sampaio,et al.  Exploring Team Passing Networks and Player Movement Dynamics in Youth Association Football , 2017, PloS one.

[12]  Xavier Anguera Miró,et al.  Automatic Extraction of the Passing Strategies of Soccer Teams , 2015, ArXiv.

[13]  D. Araújo,et al.  Networks as a novel tool for studying team ball sports as complex social systems. , 2011, Journal of science and medicine in sport.

[14]  Esteban Moro,et al.  Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media , 2011, PloS one.

[15]  Rui J. Lopes,et al.  What’s Next in Complex Networks? Capturing the Concept of Attacking Play in Invasive Team Sports , 2017, Sports Medicine.

[16]  Santo Fortunato,et al.  Community detection in graphs , 2009, ArXiv.

[17]  Juan Julián Merelo Guervós,et al.  A network analysis of the 2010 FIFA world cup champion team play , 2013, J. Syst. Sci. Complex..

[18]  Joachim Gudmundsson,et al.  Spatio-Temporal Analysis of Team Sports , 2016, ACM Comput. Surv..

[19]  J. Duch,et al.  Quantifying the Performance of Individual Players in a Team Activity , 2010, PloS one.

[20]  Nicholas Dew,et al.  Serendipity in Entrepreneurship , 2009 .

[21]  O. Sporns,et al.  Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.

[22]  Pablo Rodriguez,et al.  Searching for a Unique Style in Soccer , 2014, ArXiv.

[23]  Sridha Sridharan,et al.  Large-Scale Analysis of Formations in Soccer , 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

[24]  Gerardo Chowell,et al.  Null Models for Community Detection in Spatially-Embedded, Temporal Networks , 2014, bioRxiv.

[25]  Keith Davids,et al.  Team Sports Performance Analysed Through the Lens of Social Network Theory: Implications for Research and Practice , 2017, Sports Medicine.

[26]  Fernando Manuel Lourenço Martins,et al.  Using Network Metrics in Soccer: A Macro-Analysis , 2015, Journal of human kinetics.

[27]  H. Touchette,et al.  A network theory analysis of football strategies , 2012, 1206.6904.

[28]  Joaquín Goñi,et al.  On the origins of hierarchy in complex networks , 2013, Proceedings of the National Academy of Sciences.

[29]  Mark Newman,et al.  Networks: An Introduction , 2010 .

[30]  Thomas U. Grund,et al.  Network structure and team performance: The case of English Premier League soccer teams , 2012, Soc. Networks.

[31]  Keith Davids,et al.  Capturing complex, non-linear team behaviours during competitive football performance , 2013, Journal of Systems Science and Complexity.

[32]  J. Martin-González,et al.  Applying graphs and complex networks to football metric interpretation. , 2017, Human movement science.

[33]  Yisong Yue,et al.  “Win at Home and Draw Away”: Automatic Formation Analysis Highlighting the Differences in Home and Away Team Behaviors , 2014 .

[34]  Luca Pappalardo,et al.  A network-based approach to evaluate the performance of football teams , 2015 .

[35]  Leon Danon,et al.  Comparing community structure identification , 2005, cond-mat/0505245.

[36]  Keiko Yokoyama,et al.  Common and Unique Network Dynamics in Football Games , 2011, PloS one.

[37]  Javier M. Buldú,et al.  Successful strategies for competing networks , 2013, Nature Physics.

[38]  Anthony C. Gatrell,et al.  A structural analysis of a game: The Liverpool v Manchester united cup final of 1977☆ , 1979 .

[39]  Z. Wang,et al.  The structure and dynamics of multilayer networks , 2014, Physics Reports.

[40]  Ken Yamamoto,et al.  Statistical properties of position-dependent ball-passing networks in football games , 2014 .

[41]  John F. Padgett,et al.  The Emergence of Organizations and Markets , 2012 .

[42]  Rui J. Lopes,et al.  Hypernetworks Reveal Compound Variables That Capture Cooperative and Competitive Interactions in a Soccer Match , 2017, Front. Psychol..

[43]  Emilio Ferrara,et al.  A large-scale community structure analysis in Facebook , 2011, EPJ Data Science.

[44]  Wanda J. Orlikowski,et al.  Improvising Organizational Transformation Over Time: A Situated Change Perspective , 1996, Inf. Syst. Res..