We study the relaxation properties of the voter model with i.i.d. random bias. We prove under mild condions that the disorder-averaged relaxation of this biased random voter model is faster than a stretched exponential with exponent d/(d + α), where 0 < α ≤ 2 depends on the transition rates of the non-biased voter model. Under an additional assumption, we show that the above upper bound is opti...

According to the ‘median-voter’ hypothesis, greater inequality in the market distribution of earnings or income tends to produce greater generosity in redistributive policy. We outline the steps in the causal chain specified by the hypothesis and attempt to assess these steps empirically. Prior studies focusing on crosscountry variation have found little support for the median-voter model. We e...

We match individual senators’ voting behavior on legislative proposals with 24 real referenda decisions on exactly the same issues with identical wording. This setting allows us to evaluate the median voter model’s quality with revealed constituents’ preferences. Results indicate a limited explanatory power of the median voter model: It explains 17.6 percentage points more than random voting an...

Publishing data for analysis from a micro data table containing sensitive attributes, while maintaining individual privacy, is a problem of increasing significance today. The k-anonymity model was proposed for privacy preserving data publication. While focusing on identity disclosure, k-anonymity model fails to protect attribute disclosure to some extent. Many efforts are made to enhance the k-...

The problem of the release of anonymized microdata is an important topic in the fields of statistical disclosure control (SDC) and privacy preserving data publishing (PPDP), and yet it remains sufficiently unsolved. In these research fields, k-anonymity has been widely studied as an anonymity notion for mainly deterministic anonymization algorithms, and some probabilistic relaxations have been ...

Privacy protection for incremental data has a great effect on data availability and practicality. Kanonymity is an important approach to protect data privacy in data publishing scenario. However, it is a NP-hard problem for optimal k-anonymity on dataset with multiple attributes. Most partitions in k-anonymity at present are single-dimensional. Now research on k-anonymity mainly focuses on gett...

The UK Computing Research Committee (UKCRC), an Expert Panel of the British Computer 1. Society, the Institution of Electrical Engineers and the Council of Professors and Heads of Computing, was formed in November 2000 as a policy committee for computing research in the UK. Its members are leading computing researchers from UK academia and industry. UKCRC has the expertise to address issue (d) ...