
AbstractThe Global Financial Crisis of 2008 has left behind it many victims worldwide – both among bankrupt companies and indebted people with a grim future ahead. On January 1, 2008, the government of the Czech Republic launched a new information system called Insolvency Register of the Czech Republic. Meanwhile, the Czech Insolvency Register contains publicly available data concerning more than 100 000 insolvency proceedings. Modern data mining methods quite naturally represent an appealing approach to analyze these huge amounts of open source data. In this context, especially the techniques of Bayesian networks and social network analysis seem to reveal several new socio-economic patterns present in the current Czech society.
community discovery, social network analysis, knowledge extraction, data mining, data pre-processing
community discovery, social network analysis, knowledge extraction, data mining, data pre-processing
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
