Temporal modeling of basic human values from social network usage
Datos Bibliográficos
| ID | 7521050 |
|---|---|
| Autores | Md Saddam Hossain Mukta (0000-0003-2675-5471, Bangladesh University of Engineering & Technology Dhaka 1000 Bangladesh, autor de correspondencia), Mohammed Eunus Ali (0000-0002-0384-7616, Bangladesh University of Engineering & Technology Dhaka 1000 Bangladesh, autor de correspondencia), Jalal Mahmud (IBM Research‐Almaden San Jose CA 95120, autor de correspondencia) |
| Año | 2018 |
| Volumen | 70 |
| Número | 2 |
| Páginas | 151-163 |
| Fecha de publicación | 2018-12-08 |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Journal of the Association for Information Science and Technology (JOURNAL) |
| Identificadores de la revista | ISSN: 2330-1635 • E-ISSN: 2330-1643 |
| Editorial | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/asi.24099 |
| OpenAlex | W2905176657 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 40 |
Basic human values represent what we think are important to our lives that include security, independence, success, kindness, and pleasure. Each of us holds different values with different degrees of importance. Existing studies show that values of a person can be identified from their social network usage. However, the value priority of a person may change over time due to different factors such as time, event, influence, social structure, and technology. In this research, we are the first to investigate whether the change of value priorities can be identified from social network usage. We propose a weighted hybrid time‐series‐based model to capture the change of values of a social network user. We conducted an experimental study with 726 Facebook users and showed that our model accurately captures the value priority changes from the social network usage and achieves significantly higher accuracy than our baseline hidden Markov model‐based technique. We also validated the change of a user's value priorities in real life using a questionnaire‐based technique
Baseline (sea · Data mining · Data science · Event (particle physics · Independence (probability theory · Kindness · Machine learning · Social media · Social network (sociolinguistics · Statistics · Value (mathematics · World Wide Web · Advanced Text Analysis Techniques · Complex Network Analysis Techniques · Computer Science · Mathematics · Opinion Dynamics and Social Influence · Artificial Intelligence
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| Citas por año | 1 |
|---|---|
| Intervalo de citas | 2025 - 2025 (1) |
| Altamente citado | No |