Detecting Stress Based on Social Interactions in Social Networks
| dc.contributor.author | Prathiksha | |
| dc.date.accessioned | 2019-09-09T12:53:21Z | |
| dc.date.available | 2019-09-09T12:53:21Z | |
| dc.date.issued | 2019-09-09T12:53:21Z | |
| dc.description.abstract | With the rapid pace of life, more and more people are feeling stressed. According to a worldwide survey reported by Newbusiness in 20101, over half of the population have experienced an appreciable rise in stress over the last two years. Though stress itself is non-clinical and common in our life, excessive and chronic stress can be rather harmful to people’s physical and mental health. According to existing research works, long-term stress has been found to be related to many diseases, e.g., clinical depressions, insomnia etc.. Moreover, according to Chinese Center for Disease Control and Prevention, suicide has become the top cause of death among Chinese youth, and excessive stress is considered to be a major factor of suicide. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/11176 | |
| dc.language.iso | en | en_US |
| dc.subject | Detecting Stress Based on Social Interactions in Social Networks | en_US |
| dc.subject | Prathiksha | en_US |
| dc.subject | 16VFSB7040 | en_US |
| dc.title | Detecting Stress Based on Social Interactions in Social Networks | en_US |
| dc.type | Other | en_US |