Selection of Information Streams in Social Sensing: An Interdependence-and Cost-aware Ranking Method

Gabriele Gianini, Corrado Mio, Francesco Viola, Jianyi Lin, Nawaf Almoosa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this work we address the problem of critical source selection in social sensing. We propose an approach to the ranking of information streams, which is aware of the interdependence among streams (redundancy and synergies), of the cost of individual streams, and of the cost related to the integration of multiple streams. The method is based on the use of the Coalitional Game Theory concept of Power Index, and relies on the polynomial-time estimate of the stream sets characteristics. With respect to other works using a power index, the method takes into account that the problem has a non-trivial cost structure.

Original languageBritish English
Title of host publicationProceedings of the 12th International Conference on Management of Digital EcoSystems, MEDES 2020
Pages157-161
Number of pages5
ISBN (Electronic)9781450381154
DOIs
StatePublished - 2 Nov 2020
Event12th International Conference on Management of Digital EcoSystems, MEDES 2020 - Virtual, Online, United Arab Emirates
Duration: 2 Nov 20204 Nov 2020

Publication series

NameProceedings of the 12th International Conference on Management of Digital EcoSystems, MEDES 2020

Conference

Conference12th International Conference on Management of Digital EcoSystems, MEDES 2020
Country/TerritoryUnited Arab Emirates
CityVirtual, Online
Period2/11/204/11/20

Keywords

  • Banzhaf Value
  • Coalitional Game Theory
  • Critical Source Selection
  • Power Index
  • Shapley Value
  • Social Sensing
  • Source Management

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