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Matthew Katz, Bob Heere and E. Nicole Melton

study, we aimed to integrate network theory ( Borgatti & Halgin, 2011 ) and egocentric network analysis ( Perry et al., 2018 ) into the study of season-ticket holders within the college football setting. Sport marketing scholars have illustrated the salient role of networks in examining how fans

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Heidi A. Wayment, Ann H. Huffman, Monica Lininger and Patrick C. Doyle

Key Points ▸ This study used social network analysis (SNA) to examine relationships between social structure, identity perceptions, and concussion-reporting support in an NCAA Division I football team. ▸ Team belonging was positively correlated with having more friends and being highly connected

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Sandrine Rangeon, Wade Gilbert and Mark Bruner

The purpose of the present study was to use citation network analysis to identify key publications and influential researchers in coaching science. A citation network analysis was conducted on references of English-language peer-reviewed coaching research articles published in 2007 and 2008 (n=141 articles; 3,891 references). Publications were coded for type (e.g., conceptual, empirical) and topic (e.g., efficacy, coach development). The structure of the field was revealed through the creation of a co-authorship network. Results show that coaching science is highly influenced by a small set of key publications and researchers. The results provide a unique overview of the field and influential authors, and complement recent overviews of coaching science (Gilbert & Trudel, 2004; Lyle & Cushion, 2010; McCullick et al., 2009).

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Opal Vanessa Buchthal, Nicole Taniguchi, Livia Iskandar and Jay Maddock

Background:

Physical inactivity is a growing problem in the United States, one that is being addressed through the development of active living communities. However, active living promotion requires collaboration among organizations that may not have previously shared goals.

Methods:

A network analysis was conducted to assess Hawaii’s active living promotion network. Twenty-six organizations playing a significant role in promoting active living in Hawaii were identified and surveyed about their frequency of contact, level of collaboration, and funding flow with other agencies.

Results:

A communication network was identified linking all agencies. This network had many long pathways, impeding information flow. The Department of Health (DOH) and the State Nutrition and Physical Activity Coalition (NPAC) were central nodes, but DOH connected state agencies while NPAC linked county and voluntary organizations. Within the network, information sharing was common, but collaboration and formal partnership were low. Linkages between county and state agencies, between counties, and between state agencies with different core agendas were particularly low.

Conclusions:

Results suggest that in the early stages of development, active living networks may be divided by geography and core missions, requiring work to bridge these divides. Network mapping appears helpful in identifying areas for network development.

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Grace Yan, Ann Pegoraro and Nicholas M. Watanabe

following the methodology laid out in Freelon, McIlwain, and Clark ( 2016 ) in their study of #BlackLivesMatter. Specifically, Freelon et al. ( 2016 ) used community detection from the field of network analysis to sort the users in the #BlackLivesMatter dataset. This method sorted hashtag users into subsets

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Ross C. Brownson, Diana C. Parra, Marsela Dauti, Jenine K. Harris, Pedro C. Hallal, Christine Hoehner, Deborah Carvalho Malta, Rodrigo S. Reis, Luiz Roberto Ramos, Isabela C. Ribeiro, Jesus Soares and Michael Pratt

Background:

Physical inactivity is a significant public health problem in Brazil that may be addressed by partnerships and networks. In conjunction with Project GUIA (Guide for Useful Interventions for Physical Activity in Brazil and Latin America), the aim of this study was to conduct a social network analysis of physical activity in Brazil.

Methods:

An online survey was completed by 28 of 35 organizations contacted from December 2008 through March 2009. Network analytic methods examined measures of collaboration, importance, leadership, and attributes of the respondent and organization.

Results:

Leadership nominations for organizations studied ranged from 0 to 23. Positive predictors of collaboration included: south region, GUIA membership, years working in physical activity, and research, education, and promotion/practice areas of physical activity. The most frequently reported barrier to collaboration was bureaucracy.

Conclusion:

Social network analysis identified factors that are likely to improve collaboration among organizations in Brazil.

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Megan S. Patterson and Patricia Goodson

Background:

Compulsive exercise, a form of unhealthy exercise often associated with prioritizing exercise and feeling guilty when exercise is missed, is a common precursor to and symptom of eating disorders. College-aged women are at high risk of exercising compulsively compared with other groups. Social network analysis (SNA) is a theoretical perspective and methodology allowing researchers to observe the effects of relational dynamics on the behaviors of people.

Methods:

SNA was used to assess the relationship between compulsive exercise and body dissatisfaction, physical activity, and network variables. Descriptive statistics were conducted using SPSS, and quadratic assignment procedure (QAP) analyses were conducted using UCINET.

Results:

QAP regression analysis revealed a statistically significant model (R 2 = .375, P < .0001) predicting compulsive exercise behavior. Physical activity, body dissatisfaction, and network variables were statistically significant predictor variables in the QAP regression model.

Discussion:

In our sample, women who are connected to “important” or “powerful” people in their network are likely to have higher compulsive exercise scores. This result provides healthcare practitioners key target points for intervention within similar groups of women. For scholars researching eating disorders and associated behaviors, this study supports looking into group dynamics and network structure in conjunction with body dissatisfaction and exercise frequency.

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Katrien Fransen, Stef Van Puyenbroeck, Todd M. Loughead, Norbert Vanbeselaere, Bert De Cuyper, Gert Vande Broek and Filip Boen

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.

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Michael Naraine, Shannon Kerwin and Milena M. Parent

This case study explores the issue of team leadership among players who have been selected to play for their national team in an international tournament. After the coaching staff had solidified the roster, a total of 12 (fictional) players were chosen to represent Canada Basketball on the senior women’s development team. With some players having known their teammates for only 2 weeks, the coaching staff has asked the team’s analytics specialist to gather data regarding the network of players within the team and present potential captains of the team to the coaching staff. Students will take on the role of the analytics specialist and provide the summary of the analysis to the coaching staff. Specifically, using a social network analysis approach, students will use the team’s network of players to determine which individual players are involved in the team’s leadership structure as captains. The primary objective of this case study is to afford students an opportunity to be acquainted with social network analysis in a sport management setting.

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Marion E. Hambrick

Sport industry groups including athletes, teams, and leagues use Twitter to share information about and promote their products. The purpose of this study was to explore how sporting event organizers and influential Twitter users spread information through the online social network. The study examined two bicycle race organizers using Twitter to promote their events. Using social network analysis, the study categorized Twitter messages posted by the race organizers, identified their Twitter followers and shared relationships within Twitter, and mapped the spread of information through these relationships. The results revealed that the race organizers used their Twitter home pages and informational and promotional messages to attract followers. Popular Twitter users followed the race organizers early, typically within the first 4 days of each homepage’s creation, and they helped spread information to their respective followers. Sporting event organizers can leverage Twitter and influential users to share information about and promote their events.