Showing 4 results for Social Network
Mr Mahdi Latifi Fard, Dr Marjan Saffari,
Volume 11, Issue 22 (12-2021)
Abstract
Fans like to talk about their favorite team and players with others. Professional team fans use social media to learn more about teams, connect with other fans, follow teams and players, and build a fan community. Social media by creating a network of users has become a platform for researchers to study fan behavior. Given that members of the fan community interact with each other, their opinions on social media also has determined relation to each other. The present study to understand and discover the relationship between fans 'opinions of El Clásico, used the network approach. In this study, Facebook was selected as the research platform to analyze the media consumption of fans about the El Clásico in the 2017-18 season. Finally, fan comments were divided into 14 categories. The results showed that the three nodes of "references to the team", "references to the individual" and "references to the game" are the most important categories that have kept the network of dialogue between the fans dynamic. While these three nodes of "references to the team", "references to the individual" and "references to the game" are important structurally and network-wise , but from a behaviorism point of view, team identification plays a key role in creating such a network. This means that the underlying role of the "use of us and them" node in the network of opinions is certain.
Mrs Shakiba Izadkhah, Dr Farideh Ashraf Ganjooei, Dr Zahra Haji Anzhaei,
Volume 12, Issue 24 (12-2022)
Abstract
The purpose of this study was to design a model of business strategies for marketing sports products on social networks. The statistical sample of this study consisted of 20 experts (university faculty members, employment and entrepreneurship consultants, and sports market consultants and sports business managers). Sampling was purposeful and snowballs and continued until the interviews reached the stage of theoretical saturation. Data were collected through in-depth and semi-structured interviews. The validity of the study was confirmed based on the criteria of "acceptability", "transferability" and "verifiability". Also, 85% reliability was reported. According to the obtained results, it can be said that in order to provide an implementation mechanism, 1) innovation strategy, 2) customer relationship strategy, 3) infrastructure strategy, 4) development strategy, 5) service strategy, 6) Expert manpower strategy, 7) Promotion strategy, 8) Pricing strategy and 9) Product strategy to be considered. Marketing strategies have an impact on the performance of sports businesses, meaning that sports businesses on social networks can reach a good position in a competitive environment when they have a good marketing strategy. Therefore, it is necessary for sports business managers in social networks to pay special attention to marketing strategies in order to develop their performance.
Mr Mohsen Mohammadi, Dr Abbas Bahram, Dr Saeeid Arsham, ,
Volume 100, Issue 100 (10-2020)
Abstract
The purpose of this research was to investigate the structure of the ball behavior in the futsal teams during the offensive phase. The type of research was observational and the data extracted from the 12 games in the training matches of the players of the futsal resistance team present at the Premier League matches of 97-98 were recorded and analyzed. Using the SOCNET software, the values of the cluster coefficient were calculated and using the MATLAB software, Shannon entropy values for each team were calculated. The results showed that by increasing the number of training sessions, the values of the cluster and entropy coefficient of Shannon increased in both teams and there is a moderate correlation between the values of the cluster coefficient and Shannon entropy was observed with the number of training sessions. In general, and according to the results of this study, the functional variability of ball behavior patterns increased with training and team experience, and the level of complexity and unpredictability of the team network increased. According to the sensitivity of the behavioral patterns of the ball to the effects of training, sport analyzers can use the information from this level of analysis to explain the team's synergistic behaviors in futsal teams.
Mohammad Mehdi Kheirkhiz, Behrouz Abdoli, Lorenzo Laporta, Alireza Farsi,
Volume 100, Issue 100 (10-2020)
Abstract
The present study aims to investigate the variables of social networks in different positions in basketball. These variables were applied in two levels of analysis: micro (individual) and macro (global interaction of the team). 24 official Chemidoor Club competitions in the 2020 men's Iranian Premier League were selected by available sampling. This research analyzed the network properties of Degree, Betweenness, Closeness, Eigenvector, and Density centrality across teams and positions. The one-way ANOVA for the factor position in the micro-level found statistical differences between the game positions in the dependent variables of Dc: (F(4,15)= 61/29, p= 0/000), Bc: (F(4,15)= 210/11, p= 0/000), Cc: (F(4,15)= 78/55, p= 0/000). However, no significant difference was observed in the Eig: (F (4, 15) = 1/58, p= 0/184). Results of post hoc test indices were significantly different between position 1 (point guard) and other positions. Macro-level team density analysis showed a significant difference between performance results in successful and unsuccessful. The guard player role was observed as the situation that establishes the most interactions with teammates during the competition. Therefore, players with higher degrees were not the ones assisting the most shots. The other players with higher degrees were not the ones assisting the most shots. These results may be used as a tool for coaching to improve their teams’ strategies in concrete, measurable ways.
