Bradley-Terry-Luce models with an ordered response
Journal of Mathematical Psychology
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Rank aggregation methods for the Web
Proceedings of the 10th international conference on World Wide Web
ACM Computing Surveys (CSUR)
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Efficient similarity search and classification via rank aggregation
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Aggregating inconsistent information: ranking and clustering
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Methodologies and Algorithms for Group-Rankings Decision
Management Science
Ranking mechanisms in twitter-like forums
Proceedings of the third ACM international conference on Web search and data mining
Generalized distances between rankings
Proceedings of the 19th international conference on World wide web
Here or there: preference judgments for relevance
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Everyone's an influencer: quantifying influence on twitter
Proceedings of the fourth ACM international conference on Web search and data mining
Influence and passivity in social media
Proceedings of the 20th international conference companion on World wide web
Measuring influence on Twitter
i-KNOW '11 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
Patterns of influence in a recommendation network
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
| Hi-index | 0.00 |
The existing literature on social choice and the theory of ranking has been particularly fruitful in applications to web search and online social networks. In addition, related techniques have been used to rank the importance of reviewers and critics on the web, by assigning weights associated with attributes such as influence, reach, status, or trust values. In applications of user opinion and preference data analysis, it should be considered paradoxical if users or critics with high weight values reflect opinions and preferences seen to be independent of, or in conflict with, the aggregate ranking of items. If rankings do not resonate, then that is an indication of inconsistencies, and thus the schemes used to determine rankings may need to be modified. In this paper we present a new theoretical and algorithmic framework for formally investigating resonance between aggregate rankings of items and ratings of critics. In particular, we develop a new paradigm called synthesis ranking, which entails synthesizing an aggregate ranking and critic weighting scheme by computing resonant equilibrium points. In addition, we present an efficient, iterative technique called entrainment for computing resonant equilibrium points. Further we show that the synthesis framework can incorporate natural critic weighting attributes. Finally, we present a redundancy paradox that demonstrates support for a ranking model that uses critic weights.