Temporal group linkage and evolution analysis for census data
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Christen, Victor
Groß, Anika
Fisher, Jeffrey
Wang, Qing
Christen, Peter
Rahm, Erhard
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University of Konstanz
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The temporal linkage of census data allows the detailed analysis of population-related changes in an area of interest. It should not only link records about the same person but also support the linkage of groups of related persons such as households. In this paper, we thus propose a new approach to both temporal record and group (household) linkage for census data and study its application for change analysis. The approach utilizes the relationships between individuals to determine the similarity of groups and their members within a graph-based method. The approach is also iterative by first identifying high quality matches that are subsequently extended by matches found with less restrictive similarity criteria. A comprehensive evaluation using historical census data from the UK indicates a high effectiveness of the proposed approach. Furthermore, the linkage enables an insightful analysis of household changes determined by so-called evolution patterns.
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Advances in Database Technology - Proceedings of the 201th International Conference on Extending Database Technology
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Advances in Database Technology - Proceedings of the 201th International Conference on Extending Database Technology
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Open Access
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Creative Commons license CC-by-nc-nd 4.0
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