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

Maged N. Kamel Boulos, Antonio Sanfilippo, Courtney D. Corley, Steve Wheeler

Research output: Contribution to journalArticle

67 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)16-23
Number of pages8
JournalComputer Methods and Programs in Biomedicine
Volume100
Issue number1
DOIs
Publication statusPublished - Oct 2010
Externally publishedYes

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Keywords

  • Disease surveillance
  • Social Web
  • Technosocial Predictive Analytics
  • Web 2.0

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Health Informatics

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