scholarly journals Inter-team variability in game play under critical game scenarios: a study in high-level men’s volleyball using social network analysis (Variabilidad entre equipos en el juego bajo escenarios críticos de juego: un estudio en voleibol masculino de alto ni

Retos ◽  
2021 ◽  
Vol 43 ◽  
pp. 1095-1105
Author(s):  
João Bernardo Martins ◽  
José Afonso ◽  
Ademilson Mendes ◽  
Letícia Santos ◽  
Isabel Mesquita
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Eigenvector Centrality ◽  
Redes Sociales ◽  
Match Analysis ◽  
Essential Information ◽  
The Usa ◽  
Independent Eigenvector ◽  
High Level

  Critical scenarios are highly relevant to match analysis because they contribute to a better understanding of performance and provide essential information about team evolution. The goal of this study was to investigate inter-team variability in high-level men's volleyball during critical game scenarios (i.e., non-ideal setting conditions). Ten matches of the Men’s 2019 Volleyball Nations League Finals (Russia, USA, Poland, Brazil, Iran, France) were analyzed (n = 649 plays). Six independent Eigenvector Centrality networks were created (632 nodes; 3507 edges) using Social Network Analysis. When playing under critical scenarios the top two ranked teams differed in side-out attack. Specifically, the USA presented quick attacks, mainly in zone 4, using both the strong attack and exploration of the block. Conversely, Russia presented a game with high attack tempos and strong attacks. The USA and Russia also differed from Poland and Brazil in their approach to the game, the latter two teams using a varied attack (between strong, exploited, and directed attacks). After one error in attack, most teams presented a game style characterized by strong attacks, although Russia played using exploration of the block. The study shows teams competing at the same competitive level have differences in game patterns. The variability in approaches to the attack in critical scenarios (e.g., under non-ideal setting conditions and/or after consecutive attack errors) revealed that teams find different solutions for similar problems. Findings imply that match analysis should focus on exploring inter-team differences in gameplay while being cautious when interpreting aggregate data.  Resumen. Los escenarios críticos son muy relevantes para el análisis de partidos porque contribuyen a una mejor comprensión del rendimiento y proporcionan información esencial sobre la evolución del equipo. El objetivo de este estudio fue investigar la variabilidad entre equipos en el voleibol masculino de alto nivel durante escenarios críticos de juego (principalmente en condiciones de colocación no ideales). Se analizaron diez partidos de las Finales de la Liga de Naciones de Voleibol Masculino 2019 (Rusia, Estados Unidos, Polonia, Brasil, Irán, Francia) (n=649 jugadas). Se crearon seis redes de centralidad de autovector independientes (632 nodos; 3507 bordes) utilizando el análisis de redes sociales. Cuando se jugaba en escenarios críticos, los dos mejores equipos clasificados diferían en ataque lateral. Específicamente, los Estados Unidos presentaron ataques rápidos, principalmente en la zona 4, utilizando tanto el fuerte ataque como la exploración del bloqueo. Por el contrario, Rusia presentó un juego con altos ritmos de ataque y ataques fuertes. Los Estados Unidos y Rusia también se diferenciaron de Polonia y Brasil en su enfoque del juego, los dos últimos equipos utilizando un ataque variado (entre ataques fuertes, explotados y dirigidos). Después de un error en ataque, la mayoría de los equipos presentaron un estilo de juego caracterizado por ataques fuertes, aunque Rusia jugó utilizando la exploración del bloque. El estudio muestra que los equipos que compiten al mismo nivel competitivo tienen diferencias en los patrones de juego. La variabilidad en los enfoques del ataque en escenarios críticos (en condiciones de colocación no ideales y/o después de errores de ataque consecutivos) reveló que los equipos encuentran diferentes soluciones para problemas similares. Los hallazgos implican que el análisis de partidos debe centrarse en explorar las diferencias entre equipos en el juego y, al mismo tiempo, ser cauteloso al interpretar los datos agregados.

scholarly journals Inter-player variability in game patterns in high-level women's volleyball: A study with Outside Hitters (Near vs. Away) using Social Network Analysis. [Variabilidad entre jugadores en los patrones de juego en el voleibol femenino de alto nivel: Un estudio con bateadores externos (Cerca versus Lejos) usando Análisis de Redes Sociales].

2021 ◽  
Vol 17 (65) ◽  
pp. 234-250
Author(s):  
João Bernardo Martins ◽  
◽  
Isabel Mesquita ◽  
Ademilson Mendes ◽  
Letícia Santos ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Team Sports ◽  
Eigenvector Centrality ◽  
Redes Sociales ◽  
Functional Roles ◽  
High Level ◽  
Women's Volleyball ◽  
After Error

A wide body of research on team sports has focused on positional status based differences, providing information on inter-player variability according to the functional roles within the game. However, research addressing inter-player variability within the same positional/function status is scarce. The present article presents an analysis of inter-player variability within the same positional status during critical moments, in high-level women's volleyball, using Social Network Analysis. Attack actions of the outside hitters near (OHN) and away (OHA) from the setter were analysed in ten matches from the 2019 Volleyball Nations League Finals (268 plays). Two independent Eigenvector Centrality networks were created, one for OHN and another for OHA. Main results: (a) in side-out with ideal setting conditions, the OHA used more tips and exploration of the block than the OHN; under non-ideal setting conditions, the OHN had slower attack tempos than the OHA; (b) OHA used tip and directed attacks after error situations while OHN was typically not requested after error situations; (c) in transition, OHN typically attacked after having performed a previous action, performing a dual task within each ball possession, while OHA only attacked when there was no prior action; (d) there were also inter-positional similarities, with both OHN and OHA preferring a strong attack in ideal conditions during KI and KIV, and slower tempos in transition in non-ideal conditions. Conclusions: Even within the same positional status, there seems to be subtle, but relevant inter-player variability. Consequently, coaches should devote careful attention when assigning players to positional.

scholarly journals The Attack in Volleyball from the Perspective of Social Network Analysis: Refining Match Analysis through Interconnectivity and Composite of Variables

2021 ◽  
Vol 10 (1) ◽  
pp. 45-54
Author(s):  
Joao Bernardo Martins ◽  
◽  
Jose Afonso ◽  
Patrícia Coutinho ◽  
Ricardo Fernandes ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Systemic Review ◽  
Eigenvector Centrality ◽  
Match Analysis ◽  
High Level ◽  
Composite Variables ◽  
The Impact

This study aimed to develop an instrument for analysing the attack in high-level volleyball considering the refined variables adjacent to the attack action, the interconnection between direct and indirect actions, the impact of the previous action, and the formation of composite variables. The game complexes were approached as interacting subsystems. The primary goal was to understand the influence of game actions adjacent to the attack. Three matches of a National Women’s 1st Division 2018/2019 (nine sets, 415 plays) were analysed, considering all game complexes (except attack coverage due to reduced occurrence). An Eigenvector Centrality network with 420 nodes and 7367 edges was created. The networks showed that ideal setting conditions, and strong attacks by the outside and opposite hitters without having received a perfect ball, were central in side-out. In transition, we highlight ideal setting conditions, preferences of the outside hitter, quick attacks in Z4, and high balls in Z2. This study is distinct because it considers different aspects related to the systemic review of the game by using composite variables and the actions prior to the attack. Of these results, we highlight that players attacked with slower tempos for the double action of receive-attack, and these were either preferably directed to the parallel or explored the block. Moreover, for the double defence-attack actions, attackers sought the soft spike in Z2, Z4, and Z8; and when two consecutive individual errors occurred, the players did not err but instead continued to attack to force the opponent’s error.

scholarly journals Visualization of clinical teaching citations using social network analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hakimeh Hazrati ◽  
Shoaleh Bigdeli ◽  
Seyed Kamran Soltani Arabshahi ◽  
Vahideh Zarea Gavgani ◽  
Nafiseh Vahed
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Research Collaboration ◽  
Clinical Teaching ◽  
Clustering Coefficient ◽  
Knowledge Network ◽  
Research Network ◽  
Centrality Measures ◽  
The Usa

Abstract Background Analyzing the previous research literature in the field of clinical teaching has potential to show the trend and future direction of this field. This study aimed to visualize the co-authorship networks and scientific map of research outputs of clinical teaching and medical education by Social Network Analysis (SNA). Methods We Identified 1229 publications on clinical teaching through a systematic search strategy in the Scopus (Elsevier), Web of Science (Clarivate Analytics) and Medline (NCBI/NLM) through PubMed from the year 1980 to 2018.The Ravar PreMap, Netdraw, UCINet and VOSviewer software were used for data visualization and analysis. Results Based on the findings of study the network of clinical teaching was weak in term of cohesion and the density in the co-authorship networks of authors (clustering coefficient (CC): 0.749, density: 0.0238) and collaboration of countries (CC: 0.655, density: 0.176). In regard to centrality measures; the most influential authors in the co-authorship network was Rosenbaum ME, from the USA (0.048). More, the USA, the UK, Canada, Australia and the Netherlands have central role in collaboration countries network and has the vertex co-authorship with other that participated in publishing articles in clinical teaching. Analysis of background and affiliation of authors showed that co-authorship between clinical researchers in medicine filed is weak. Nineteen subject clusters were identified in the clinical teaching research network, seven of which were related to the expected competencies of clinical teaching and three related to clinical teaching skills. Conclusions In order to improve the cohesion of the authorship network of clinical teaching, it is essential to improve research collaboration and co-authorship between new researchers and those who have better closeness or geodisk path with others, especially those with the clinical background. To reach to a dense and powerful topology in the knowledge network of this field encouraging policies to be made for international and national collaboration between clinicians and clinical teaching specialists. In addition, humanitarian and clinical reasoning need to be considered in clinical teaching as of new direction in the field from thematic aspects.

scholarly journals Nursing Students’ Subjective Happiness: A Social Network Analysis

2021 ◽  
Vol 18 (21) ◽  
pp. 11612
Author(s):  
Eun-Joo Kim ◽  
Ji-Young Lim ◽  
Geun-Myun Kim ◽  
Seong-Kwang Kim
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Nursing Students ◽  
Network Analysis ◽  
Group Dynamics ◽  
Future Research ◽  
Subjective Happiness ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
High Level

Improving nursing students’ subjective happiness is germane for efficiency in the nursing profession. This study examined the subjective happiness of nursing students by applying social network analysis (SNA) and developing a strategy to improve the subjective happiness of nursing. The study adopted a cross sectional survey to measure subjective happiness and social network of 222 nursing students. The results revealed that the centralization index, which is a measure of intragroup interactions from the perspective of an entire network, was higher in the senior year compared with the junior year. Additionally, the indegree, outdegree, and centrality of the social network of students with a high level of subjective happiness were all found to be high. This result suggests that subjective happiness is not just an individual’s psychological perception, but can also be expressed more deeply depending on the subject’s social relationships. Based on the study’s results, to strengthen self-efficacy and resilience, it is necessary to utilize strategies that activate group dynamics, such as team activities, to improve subjective happiness. The findings can serve as basic data for future research focused on improving nursing students’ subjective happiness by consolidating team-learning social networks through a standardized program approach within a curriculum or extracurricular programs.

scholarly journals Characterizing Stakeholders of Aging-in-Place through Social Network Analysis: A Study of Nanjing, China

2019 ◽  
Vol 11 (23) ◽  
pp. 6722
Author(s):  
Shenghua Zhou ◽  
S. Thomas Ng ◽  
Dezhi Li ◽  
Jiankun Zhang ◽  
Jie Fan ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Wide Spectrum ◽  
Aging In Place ◽  
Policy Implications ◽  
Third Party ◽  
Pilot Programs ◽  
Excess Power ◽  
High Level

China currently has an elderly population of 249 million with over 97% of them ending up aging in place. Although various regional pilot programs have been conducted, a sustainable aging-in-place system has not been established to effectively and efficiently provide aging services in many cities of China. The characteristics of stakeholder networks in the aging-in-place systems have not attracted great attention from researchers. This research applies social network analysis to characterize the interactions of stakeholders in aging-in-place systems to facilitate cooperation and coordination amongst them. Using Nanjing as a case study, 23 stakeholders in Nanjing’s aging-in-place system are identified, such as the Aging Affairs Committee, Aging-in-Place Service Association, and aging-in-place service centers; and then the relationship networks of these stakeholders in terms of communication, supervision, and trust are developed and analyzed. The results show that the aging-in-place system suffers from certain defects, including the loose connection of government departments, redundant information channels, low trustworthiness of certain aging-in-place service centers, poor credibility of third-party training and assessment institutions, and excess power of the industry association. To tackle these issues, a wide spectrum of actionable measures applicable to Nanjing’s conditions, as well as high-level policy implications for other cities of China, are proposed for augmenting the communication, supervision, and trust among stakeholder groups.

Mapping knowledge structure by keyword co-occurrence and social network analysis

2018 ◽  
Vol 36 (4) ◽  
pp. 636-650 ◽  
Author(s):  
Fei-Fei Cheng ◽  
Yu-Wen Huang ◽  
Hsin-Chun Yu ◽  
Chin-Shan Wu
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Academic Library ◽  
Knowledge Structure ◽  
Visual Exploration ◽  
Bibliographic Databases ◽  
Research Issues ◽  
Content Type ◽  
The Usa

Purpose The purpose of this paper is to present the knowledge structure based on the articles published in Library Hi Tech. The research hotspots are expected to be revealed through the keyword co-occurrence and social network analysis. Design/methodology/approach Data sets based on publications from Library Hi Tech covering the time period from 2006 to 2017 were extracted from Web of Science and developed as testbeds for evaluation of the CiteSpace system. Highly cited keywords were analyzed by CiteSpace which supports visual exploration with knowledge discovery in bibliographic databases. Findings The findings suggested that the percentage of publications in the USA, Germany, China, and Canada are high. Further, the most popular keywords identified in Library Hi Tech were: “service,” “technology,” “digital library,” “university library,” and “academic library.” Finally, four research issues were identified based on the most-cited articles in Library Hi Tech. Originality/value While keyword plays an important role in scientific research, limited studies paid attention to the keyword analysis in librarian research. The contribution of this study is to systematically explore the knowledge structure constructed by the keywords in Library Hi Tech.

scholarly journals Social Network Analysis in the Legislative Process in the Korean Medical Device Industry

2018 ◽  
Vol 55 ◽  
pp. 004695801879185 ◽  
Author(s):  
Munjae Lee ◽  
Kichan Yoon ◽  
Kyu-Sung Lee
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Medical Device ◽  
Structure Analysis ◽  
Network Structure ◽  
Eigenvector Centrality ◽  
Medical Device Industry ◽  
The Government ◽  
Device Industry

This study analyzes the legislation process of the Korean government regarding the development of the medical device industry in the perspective of the issue network. It also aims to identify the difference in network structure between conservative and progressive governments and analyze major issues and stakeholders. It examines the network structure in the legislation process of the government to develop and support the medical device industry through social network analysis (SNA). This study conducted a policy network structure analysis of the conservative and progressive governments. SNA was used for the structure analysis, using the contents of newspaper articles as the baseline data related to the medical device industry. We analyze using the 2-mode network analysis that the node centrality is determined by eigenvector centrality. The more nodes with great power (stakeholders, information, resources) it is linked to, the greater power centrality (eigenvector centrality) it will have, which indicates that it has great influence within the network. The conservative government discussed the promotion of the medical device industry led by government departments, focusing on its potential as a future growth engine. On the contrary, the progressive government tended to have fewer stakeholders and issues around the idea, shifting the stakeholders that lead the promotion of the industry from government departments to relevant interest groups, and focusing more on policy issues like transparency than on economic issues. We identify implications to legislate the relevant act by analyzing the relevant stakeholders and issues around legislation, while reinforcing the competitiveness of Korea’s medical device industry in the larger global framework. We believe that this study would comprehensively addresses the pros and cons of the government-led promotion of the medical device industry in Korea, as well as the key issues for stakeholders, which can be applicable to many other societies.

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