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Social Network Analysis for Judgment Aggregation Paper 487
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2014 |
| Abstract | Judgment aggregation investigates the problem of how to aggregate several individuals’ judgments on some logically connected propositions into a consistent collective judgment. The majority of work in judgment aggregation is devoted to studying impossibility results, but the (social) dependencies that may exist between voters is traditionally not studied. In this paper, we use techniques from social network analysis to study the relations between the individuals participating in a judgment aggregation problem by analysing the similarity between their judgments in terms of social networks. We show that using these techniques we obtain a more finegrained approach than the prototype voter rule in addition to identifying closely related groups of agents sharing some common interests concerning the given issues. We provide both theoretical and empirical results supporting our claims, in addition to analysing the complexity of the approach adopted. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://orbilu.uni.lu/bitstream/10993/16285/1/aamas2014_sample.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |