Social Genome Mining for Crisis Prediction
Year: 2015
Type: preprint
Abstract: With the increasing digitalization of western societies, we leave more and more digital traces in countless databases. These digital information include health records, bank account information, school grades etc. and they form our social digital footprint. The digital traces of a society as a hole form what is called the social genome and its analysis in real time or near real time has the potential to transform healthcare, the way we do business and even our behavior. The social genome can also be used to predict crises and can possibly prevent conflicts in future hot spots. However, the analysis of these vast amounts of data poses technical challenges and raises serious privacy issues. SM analysis has become a very active area of research and SM is mined for marketing purposes, to detect new trends, to get user opinions on products and services and to predict crises. This paper describes some of the methods used to analyze SM posts for crisis prediction by determining the social genome.
Source: SSRN Electronic Journal
Institutions: University of Southern Queensland, University of Wollongong
Language: English
Subfield: Communication
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W1142387069