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Building patients’trust in psychologists in online mental health communities
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作者 Hong Wu Zhaohua Deng Richard Evans 《Data Science and Management》 2022年第1期21-27,共7页
Sufferers’mental illnesses experience changes in communication,cognition,and behavior,exposing differences in social behavior and relationships.Many who suffer from mental health problems notice that the reduced comm... Sufferers’mental illnesses experience changes in communication,cognition,and behavior,exposing differences in social behavior and relationships.Many who suffer from mental health problems notice that the reduced communication ability leads to social inclusion and distrust of others.Online Mental Health Communities(OMHCs)facilitate a new means of communication between patients and physicians.Based on the trust source credibility framework,trust transitivity theory,social resources and physician-patient interactions,this study aims to evaluate the factors that influence patients’trust in OMHCs.We crawled the data from Haodf.com,the leading healthcare community platform in China,to study the factors that influence patients’trust using the ordinary least squares regression method.725 psychologists’records were collected on 19 November,2019,20 December,2019,and 20 May,2020.Compared with face-to-face physician appointments,Chief Physicians are more likely to gain patients’initial trust online.Further,psychologists’integrity,online reputation,and group size have significant positive impact on the initial trust of patients.Similarly,patients’online initial trust and efforts have significantly positive influences on their continuous trust online.To improve relationships between physicians and patients,physicians must strengthen their clinical abilities and be honest with patients.The findings of this study provide insights into the factors that influence patients’trust in OMHCs. 展开更多
关键词 Patients’trust trust source credibility model trust transitivity Social resources Physician-patient interaction Online mental health community
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Key nodes of the trust transitivity in social Internet of things
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作者 Li Wenna Lin Zhiting +2 位作者 Sun Libing Xiang Yaqin Wang Pengfei 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2018年第4期56-65,共10页
The trustee and the trustor may have no previous interaction. So,intermediate nodes trusted by both the trustor and the trustee are selected to transit trust between them. But only a few intermediate nodes are key nod... The trustee and the trustor may have no previous interaction. So,intermediate nodes trusted by both the trustor and the trustee are selected to transit trust between them. But only a few intermediate nodes are key nodes which can significantly affect the transitivity of trust. To the best of our knowledge,there are no algorithms for finding key nodes of the trust transitivity. To solve this problem,the concept of trust is presented,and a comprehensive model of the transitivity of trust is provided. Then,the key nodes search( KNS) algorithm is proposed to find out the key nodes of the trust transitivity. The KNS algorithm is verified with three real social network datasets and the results show that the algorithm can find out all the key nodes for each node in directed,weighted,and non-fully connected social Internet of things( SIoT) networks. 展开更多
关键词 KNS SIoT trust the transitivity of trust
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