Impact of social games in aggregating relationships in social capital through online social media network
In recent days, social network sites connect people and help them maintain social ties through aggregating and accumulating social capital. This trait is important for organisation and individual success. The literature in the field indicates that there is a wide gap in automating the prediction of...
| Main Authors: | , , , |
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| Format: | Article |
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UK Zhende Publishing
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/108315/ |
| _version_ | 1848865129824780288 |
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| author | Fang, Zhao AlSagoff, Syed Agil Abdullah, Karmilah Fengjiao, Liu |
| author_facet | Fang, Zhao AlSagoff, Syed Agil Abdullah, Karmilah Fengjiao, Liu |
| author_sort | Fang, Zhao |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In recent days, social network sites connect people and help them maintain social ties through aggregating and accumulating social capital. This trait is important for organisation and individual success. The literature in the field indicates that there is a wide gap in automating the prediction of aggregation of social capital through online social games in social media networks. The analysis of the impact of social games in facilitating Social Capital (SC) is very vital. The existing mathematical and statistical modelling techniques fail to recognise the inherent and latent associations among the exploratory variables. Hence, this work proposes an ensemble machine learning model that learns the inherent features from the questionnaire collected from online gamers on three genres, namely media technology availability, multimedia communication channels and degree of social connectedness. The base learners explore the data domain in different ways to extract the features. The efficacy of the model's prediction is done by analysing the accuracy, F1 score, precision and recall. The results indicate that the model can effectively classify the instances, whether they positively or negatively contribute to the aggregation of SC. As a future extension of the research, the model can be made to learn more extensive attributes. |
| first_indexed | 2025-11-15T13:59:48Z |
| format | Article |
| id | upm-108315 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:59:48Z |
| publishDate | 2023 |
| publisher | UK Zhende Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1083152024-06-13T08:24:17Z http://psasir.upm.edu.my/id/eprint/108315/ Impact of social games in aggregating relationships in social capital through online social media network Fang, Zhao AlSagoff, Syed Agil Abdullah, Karmilah Fengjiao, Liu In recent days, social network sites connect people and help them maintain social ties through aggregating and accumulating social capital. This trait is important for organisation and individual success. The literature in the field indicates that there is a wide gap in automating the prediction of aggregation of social capital through online social games in social media networks. The analysis of the impact of social games in facilitating Social Capital (SC) is very vital. The existing mathematical and statistical modelling techniques fail to recognise the inherent and latent associations among the exploratory variables. Hence, this work proposes an ensemble machine learning model that learns the inherent features from the questionnaire collected from online gamers on three genres, namely media technology availability, multimedia communication channels and degree of social connectedness. The base learners explore the data domain in different ways to extract the features. The efficacy of the model's prediction is done by analysing the accuracy, F1 score, precision and recall. The results indicate that the model can effectively classify the instances, whether they positively or negatively contribute to the aggregation of SC. As a future extension of the research, the model can be made to learn more extensive attributes. UK Zhende Publishing 2023 Article PeerReviewed Fang, Zhao and AlSagoff, Syed Agil and Abdullah, Karmilah and Fengjiao, Liu (2023) Impact of social games in aggregating relationships in social capital through online social media network. International Journal of Communication Networks and Information Security, 15 (4). pp. 30-43. ISSN 2073-607X; ESSN: 2076-0930 https://www.ijcnis.org/index.php/ijcnis/article/view/6304 10.17762/ijcnis.v15i4.6304 |
| spellingShingle | Fang, Zhao AlSagoff, Syed Agil Abdullah, Karmilah Fengjiao, Liu Impact of social games in aggregating relationships in social capital through online social media network |
| title | Impact of social games in aggregating relationships in social capital through online social media network |
| title_full | Impact of social games in aggregating relationships in social capital through online social media network |
| title_fullStr | Impact of social games in aggregating relationships in social capital through online social media network |
| title_full_unstemmed | Impact of social games in aggregating relationships in social capital through online social media network |
| title_short | Impact of social games in aggregating relationships in social capital through online social media network |
| title_sort | impact of social games in aggregating relationships in social capital through online social media network |
| url | http://psasir.upm.edu.my/id/eprint/108315/ http://psasir.upm.edu.my/id/eprint/108315/ http://psasir.upm.edu.my/id/eprint/108315/ |