Social Web mining and exploitation for serious applications: Technosocial Predictive Analytics and related technologies for public health, environmental and national security surveillance

Authors:
Maged N. Kamel Boulos;Antonio P. Sanfilippo;Courtney D. Corley;Steve Wheeler
Affiliations:
Faculty of Health, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, UK;Techno-Social Predictive Analytics Initiative, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA;Techno-Social Predictive Analytics Initiative, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA;Faculty of Education, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, UK
Venue:
Computer Methods and Programs in Biomedicine
Year:
2010

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Abstract

This paper explores Technosocial Predictive Analytics (TPA) and related methods for Web ''data mining'' where users' posts and queries are garnered from Social Web (''Web 2.0'') tools such as blogs, micro-blogging and social networking sites to form coherent representations of real-time health events. The paper includes a brief introduction to commonly used Social Web tools such as mashups and aggregators, and maps their exponential growth as an open architecture of participation for the masses and an emerging way to gain insight about people's collective health status of whole populations. Several health related tool examples are described and demonstrated as practical means through which health professionals might create clear location specific pictures of epidemiological data such as flu outbreaks.