Event Forecasting in Organizational Networks: A Discrete Dynamical System Approach
Both inter- and intraorganizational networks draw the attention of researchers and practitioners from various disciplines who view them as the fabric of the socioeconomic world. The network perspective is believed to successfully model most of the socioeconomic phenomena, which, in combination with...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/3079936 |
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| _version_ | 1832564895182225408 |
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| author | Piotr Śliwa |
| author_facet | Piotr Śliwa |
| author_sort | Piotr Śliwa |
| collection | DOAJ |
| description | Both inter- and intraorganizational networks draw the attention of researchers and practitioners from various disciplines who view them as the fabric of the socioeconomic world. The network perspective is believed to successfully model most of the socioeconomic phenomena, which, in combination with the prospects of continuously advancing tools for automated data mining and machine learning, gives a tempting promise to effectively forecast socioeconomic events occurring in our societies and businesses. Despite their significance, the topic of event forecasting in the context of organizational networks appears unexplored. Therefore, the objective of this study was (1) to fill the theoretical gap by proposing a mathematical model for organizational network event forecasting, rooted in the social science to remain consistent with the theory, and (2) to experimentally evaluate how the model performs on real data and validate if the results support its use in practical applications. An implementation of the proposed model, based on a decision tree classifier, achieved a prediction accuracy of 87% on a longitudinal data sample and thus demonstrated the practical usability of the model. |
| format | Article |
| id | doaj-art-8278187ddf284d8ea5ea1fa49c57b7fc |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-8278187ddf284d8ea5ea1fa49c57b7fc2025-02-03T01:09:55ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/3079936Event Forecasting in Organizational Networks: A Discrete Dynamical System ApproachPiotr Śliwa0Department of Organization and Management TheoryBoth inter- and intraorganizational networks draw the attention of researchers and practitioners from various disciplines who view them as the fabric of the socioeconomic world. The network perspective is believed to successfully model most of the socioeconomic phenomena, which, in combination with the prospects of continuously advancing tools for automated data mining and machine learning, gives a tempting promise to effectively forecast socioeconomic events occurring in our societies and businesses. Despite their significance, the topic of event forecasting in the context of organizational networks appears unexplored. Therefore, the objective of this study was (1) to fill the theoretical gap by proposing a mathematical model for organizational network event forecasting, rooted in the social science to remain consistent with the theory, and (2) to experimentally evaluate how the model performs on real data and validate if the results support its use in practical applications. An implementation of the proposed model, based on a decision tree classifier, achieved a prediction accuracy of 87% on a longitudinal data sample and thus demonstrated the practical usability of the model.http://dx.doi.org/10.1155/2022/3079936 |
| spellingShingle | Piotr Śliwa Event Forecasting in Organizational Networks: A Discrete Dynamical System Approach Discrete Dynamics in Nature and Society |
| title | Event Forecasting in Organizational Networks: A Discrete Dynamical System Approach |
| title_full | Event Forecasting in Organizational Networks: A Discrete Dynamical System Approach |
| title_fullStr | Event Forecasting in Organizational Networks: A Discrete Dynamical System Approach |
| title_full_unstemmed | Event Forecasting in Organizational Networks: A Discrete Dynamical System Approach |
| title_short | Event Forecasting in Organizational Networks: A Discrete Dynamical System Approach |
| title_sort | event forecasting in organizational networks a discrete dynamical system approach |
| url | http://dx.doi.org/10.1155/2022/3079936 |
| work_keys_str_mv | AT piotrsliwa eventforecastinginorganizationalnetworksadiscretedynamicalsystemapproach |