Session details: Social networks & community data

2010 ◽  
Author(s):  
Susan Davidson
Keyword(s):  
Social Networks ◽  
Community Data

Epidemic Estimation over Social Networks using Large Scale Biosensors

2016 ◽  
pp. 287-319
Author(s):  
João Sousa Andrade ◽  
Artur M. Arsénio
Keyword(s):  
Social Networks ◽  
Data Analysis ◽  
Large Scale ◽  
User Privacy ◽  
Disease Propagation ◽  
Community Data ◽  
The Subject ◽  
Networks Analysis ◽  
Epidemic Prediction ◽  
Personal Devices

Infectious diseases, such as the recent Ebola outbreak, can be especially dangerous for large communities on today's highly connected world. Countermeasures can be put in place if one is able to predict determine which people are more vulnerable to infections or have been in contact with the disease, and where. Contact location, time and relationship with the subject are relevant metrics that affect the probability of disease propagation. Sensors on personal devices that gather information from people, and social networks analysis, allow the integration of community data, while data analysis and modelling may potentially indicate community-level susceptibility to an epidemic. Indeed, there has been interest on social networks for epidemic prediction. But the integration between large-scale sensor networks and these initiatives, required to achieve epidemic prediction, is yet to be achieved. In this context, an opportunistic system is proposed and evaluated for predicting an epidemic outbreak in a community, while guaranteeing user privacy.

Social Networks Approach for Persons With Aphasia

2005 ◽  
Vol 12 (3) ◽  
pp. 6-14 ◽  
Author(s):  
Candace Vickers ◽  
Darla Hagge
Keyword(s):  
Social Networks

Algebraic Models for Social Networks

1993 ◽  
Author(s):  
Philippa Pattison
Keyword(s):  
Social Networks ◽  
Algebraic Models

Multilayer Social Networks

2016 ◽  
Author(s):  
Mark E. Dickison ◽  
Matteo Magnani ◽  
Luca Rossi
Keyword(s):  
Social Networks ◽  
Multilayer Social Networks

Hostility and Perceptions of Support in Ambiguous Social Interactions

2006 ◽  
Vol 27 (2) ◽  
pp. 108-115 ◽  
Author(s):  
Ana-Maria Vranceanu ◽  
Linda C. Gallo ◽  
Laura M. Bogart
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Information Processing ◽  
Social Interactions ◽  
Social Information Processing ◽  
Perceived Social Support ◽  
Social Information ◽  
Inverse Association ◽  
Processing Bias ◽  
Information Processing Bias

The present study investigated whether a social information processing bias contributes to the inverse association between trait hostility and perceived social support. A sample of 104 undergraduates (50 men) completed a measure of hostility and rated videotaped interactions in which a speaker disclosed a problem while a listener reacted ambiguously. Results showed that hostile persons rated listeners as less friendly and socially supportive across six conversations, although the nature of the hostility effect varied by sex, target rated, and manner in which support was assessed. Hostility and target interactively impacted ratings of support and affiliation only for men. At least in part, a social information processing bias could contribute to hostile persons' perceptions of their social networks.

Social Networks, Drug Abuse, and HIV Transmission: NIDA Research Monograph 151

1995 ◽  
Author(s):  
Richard H. Needle ◽  
Susan L. Coyle ◽  
Sander G. Genser ◽  
Robert T. Trotter
Keyword(s):  
Social Networks ◽  
Drug Abuse ◽  
Hiv Transmission
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