scholarly journals Preventing Sybil Attacks by Privilege Attenuation: A Design Principle for Social Network Systems

2011 ◽  
Author(s):  
Philip W.L. Fong
Keyword(s):  
Social Network ◽  
Design Principle ◽  
Network Systems ◽  
Sybil Attacks

scholarly journals Factors Driving Users’ Engagement in Patient Social Network Systems

Informatics ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 8
Author(s):  
Ira Puspitasari ◽  
Shukor Sanim Mohd Fauzi ◽  
Cheng-Yuan Ho
Keyword(s):  
Social Network ◽  
Structural Equation ◽  
Clinical Manifestations ◽  
Behavioral Model ◽  
Self Determination Theory ◽  
Equation Modeling ◽  
Medical Professionals ◽  
Network Systems ◽  
Constructive Engagement ◽  
Participatory Medicine

Participatory medicine and e-health help to promote health literacy among non-medical professionals. Users of e-health systems actively participate in a patient social network system (PSNS) to share health information and experiences with other users with similar health conditions. Users’ activities provide valuable healthcare resources to develop effective participatory medicine between patients, caregivers, and medical professionals. This study aims to investigate the factors of patients’ engagement in a PSNS by integrating and modifying an existing behavioral model and information system model (i.e., affective events theory (AET) and self-determination theory (SDT)). The AET is used to model the structure, the affective aspects of the driven behavior, and actual affective manifestation. The SDT is used to model interest and its relations with behavior. The data analysis and model testing are based on structural equation modeling, using responses from 428 users. The results indicate that interest and empathy promote users’ engagement in a PSNS. The findings from this study suggest recommendations to further promote users’ participation in a PSNS from the sociotechnical perspective, which include sensitizing and constructive engagement features. Furthermore, the data generated from a user’s participation in a PSNS could contribute to the study of clinical manifestations of disease, especially an emerging disease.

Mutual-friend based attacks in social network systems

2013 ◽  
Vol 37 ◽  
pp. 15-30 ◽  
Author(s):  
Lei Jin ◽  
James B.D. Joshi ◽  
Mohd Anwar
Keyword(s):  
Social Network ◽  
Network Systems ◽  
Mutual Friend

scholarly journals SybilLimit: A Near-Optimal Social Network Defense Against Sybil Attacks

2010 ◽  
Vol 18 (3) ◽  
pp. 885-898 ◽  
Author(s):  
Haifeng Yu ◽  
Phillip B. Gibbons ◽  
Michael Kaminsky ◽  
Feng Xiao
Keyword(s):  
Social Network ◽  
Network Defense ◽  
Sybil Attacks

scholarly journals Why Nursing Home Residents Use Social Network Systems: An Attachment Perspective

Healthcare ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1037
Author(s):  
I.-Chiu Chang ◽  
Kuei-Chen Cheng ◽  
Cheng-Yi Chiang ◽  
Chang-Kuo Hu
Keyword(s):  
Social Network ◽  
Long Term Care ◽  
Nursing Home Residents ◽  
Care Facility ◽  
Network Systems ◽  
Term Care ◽  
Long Term Care Facility ◽  
Network Platform ◽  
Labor Resources

Most long-term care facilities can offer residents’ with sufficiently material and physical care, but psychological support may not be always provided due to the tight financial budget or labor resources. Residents’ isolation and loneliness then become a big issue, especially for the residents. Social network systems (SNS) have been proved to be a more effective information transmission channel for thoughts, perspectives, and information sharing than traditional channels such as microblogging, e-mails, or telephones. This study conducted a quasi-experiment to identify factors that influence residents’ intention of using SNS and the impacts of SNS on them in a long-term care facility. The results showed that residents’ attached motivation of personal interacting is a significant factor that influences their intention to use the social network platform. Meanwhile, both the loneliness and depression scales of the participants were decreased significantly.

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