Control of preferences in social networks

Georgios C. Chasparis; Jeff S. Shamma

doi:10.1109/CDC.2010.5717491

Control of preferences in social networks

Georgios C. Chasparis, Jeff S. Shamma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

30 Scopus citations

Abstract

We consider the problem of deriving optimal advertising policies for the spread of innovations in a social network. We seek to compute policies that account for i) endogenous network influences, ii) the presence of competitive firms, that also wish to influence the network, and iii) possible uncertainties in the network model. Contrary to prior work in optimal advertising, which also accounts for network influences, we assume a dynamic model of preferences and we compute optimal policies for either finite or infinite horizons. We also compute robust optimal policies in the case where the evolution of preferences is also affected by external disturbances. Finally, in the presence of a competitive firm, we compute optimal Stackelberg and Nash solutions.

Original language	English (US)
Title of host publication	2010 49th IEEE Conference on Decision and Control, CDC 2010
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6651-6656
Number of pages	6
ISBN (Print)	9781424477456
DOIs	https://doi.org/10.1109/CDC.2010.5717491
State	Published - 2010
Externally published	Yes
Event	49th IEEE Conference on Decision and Control, CDC 2010 - Atlanta, United States Duration: Dec 15 2010 → Dec 17 2010

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	49th IEEE Conference on Decision and Control, CDC 2010
Country/Territory	United States
City	Atlanta
Period	12/15/10 → 12/17/10

ASJC Scopus subject areas

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

Access to Document

10.1109/CDC.2010.5717491

Cite this

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title = "Control of preferences in social networks",

abstract = "We consider the problem of deriving optimal advertising policies for the spread of innovations in a social network. We seek to compute policies that account for i) endogenous network influences, ii) the presence of competitive firms, that also wish to influence the network, and iii) possible uncertainties in the network model. Contrary to prior work in optimal advertising, which also accounts for network influences, we assume a dynamic model of preferences and we compute optimal policies for either finite or infinite horizons. We also compute robust optimal policies in the case where the evolution of preferences is also affected by external disturbances. Finally, in the presence of a competitive firm, we compute optimal Stackelberg and Nash solutions.",

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language = "English (US)",

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series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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address = "United States",

note = "49th IEEE Conference on Decision and Control, CDC 2010 ; Conference date: 15-12-2010 Through 17-12-2010",

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Chasparis, GC & Shamma, JS 2010, Control of preferences in social networks. in 2010 49th IEEE Conference on Decision and Control, CDC 2010., 5717491, Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., pp. 6651-6656, 49th IEEE Conference on Decision and Control, CDC 2010, Atlanta, United States, 12/15/10. https://doi.org/10.1109/CDC.2010.5717491

Control of preferences in social networks. / Chasparis, Georgios C.; Shamma, Jeff S.
2010 49th IEEE Conference on Decision and Control, CDC 2010. Institute of Electrical and Electronics Engineers Inc., 2010. p. 6651-6656 5717491 (Proceedings of the IEEE Conference on Decision and Control).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T3 - Proceedings of the IEEE Conference on Decision and Control

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Control of preferences in social networks

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