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

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

doi:10.1145/3415958.3433099

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

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

Risultato della ricerca: Contributo in libro › Contributo a conferenza

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 originale	Inglese
Titolo della pubblicazione ospite	Proceedings of the 12th International Conference on Management of Digital EcoSystems, MEDES 2020
Editore	Association for Computing Machinery, Inc
Pagine	157-161
Numero di pagine	5
ISBN (stampa)	9781450381154
DOI	https://doi.org/10.1145/3415958.3433099
Stato di pubblicazione	Pubblicato - 2020

All Science Journal Classification (ASJC) codes

Computer Grafica e Progettazione Assistita da Computer
Reti e Comunicazioni Informatiche
Ingegneria Ambientale

Keywords

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

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10.1145/3415958.3433099

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

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.",

keywords = "Banzhaf Value, Coalitional Game Theory, Critical Source Selection, Power Index, Shapley Value, Social Sensing, Source Management, Banzhaf Value, Coalitional Game Theory, Critical Source Selection, Power Index, Shapley Value, Social Sensing, Source Management",

author = "G. Gianini and C. Mio and F. Viola and Jianyi Lin and N. Almoosa",

year = "2020",

doi = "10.1145/3415958.3433099",

language = "English",

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Selection of Information Streams in Social Sensing: An Interdependence-and Cost-aware Ranking Method. / Gianini, G.; Mio, C.; Viola, F. et al.
Proceedings of the 12th International Conference on Management of Digital EcoSystems, MEDES 2020. Association for Computing Machinery, Inc, 2020. pag. 157-161.

Risultato della ricerca: Contributo in libro › Contributo a conferenza

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T1 - Selection of Information Streams in Social Sensing: An Interdependence-and Cost-aware Ranking Method

AU - Gianini, G.

AU - Mio, C.

AU - Viola, F.

AU - Lin, Jianyi

AU - Almoosa, N.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Banzhaf Value

KW - Coalitional Game Theory

KW - Critical Source Selection

KW - Power Index

KW - Shapley Value

KW - Social Sensing

KW - Source Management

KW - Banzhaf Value

KW - Coalitional Game Theory

KW - Critical Source Selection

KW - Power Index

KW - Shapley Value

KW - Social Sensing

KW - Source Management

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BT - Proceedings of the 12th International Conference on Management of Digital EcoSystems, MEDES 2020

PB - Association for Computing Machinery, Inc

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

Abstract

All Science Journal Classification (ASJC) codes

Keywords

Accesso al documento

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