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

Jianyi Lin, G. Gianini, C. Mio, F. Viola, N. Almoosa

Risultato della ricerca: Contributo in libroContributo a convegno

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.
Lingua originaleEnglish
Titolo della pubblicazione ospiteProceedings of the 12th International Conference on Management of Digital EcoSystems, MEDES 2020
Pagine157-161
Numero di pagine5
DOI
Stato di pubblicazionePubblicato - 2020
Evento12th International Conference on Management of Digital EcoSystems, MEDES 2020 - Online Conference
Durata: 2 nov 20204 nov 2020

Convegno

Convegno12th International Conference on Management of Digital EcoSystems, MEDES 2020
CittàOnline Conference
Periodo2/11/204/11/20

Keywords

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

Fingerprint Entra nei temi di ricerca di 'Selection of Information Streams in Social Sensing: An Interdependence-and Cost-aware Ranking Method'. Insieme formano una fingerprint unica.

Cita questo