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dc.contributor.authorSiami, Milad
dc.contributor.authorAjorlou, Amir
dc.contributor.authorJadbabaie, Ali
dc.date.accessioned2023-03-17T15:49:27Z
dc.date.available2023-03-17T15:49:27Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/1721.1/148593
dc.description.abstract© 2019 IFAC-PapersOnLine. All rights reseved. This paper studies a strategic model of marketing and product diffusion in social networks. We consider two firms offering substitutable products which can improve their market share by seeding the key individuals in the market. Consumers update their consumption level for each of the two products as the best response to the consumption of their neighbors in the previous period. This results in linear update dynamics for the product consumption. Each consumer receives externality from the consumption of each neighbor where the strength of the externality is higher for consumption of the products of the same firm. We represent the above setting as a duopoly game between the firms and introduce a novel framework that allows for sparse seeding to emerge as an equilibrium strategy. We then study the effect of the network structure on the optimal seeding strategies and the extent to which the strategies can be sparsified. In particular, we derive conditions under which near Nash equilibrium strategies can asymptotically lead to sparse seeding in large populations. The results are illustrated using a core-periphery network.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.IFACOL.2019.12.189en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcearXiven_US
dc.titleCompetitive Contagion with Sparse Seedingen_US
dc.typeArticleen_US
dc.identifier.citationSiami, Milad, Ajorlou, Amir and Jadbabaie, Ali. 2019. "Competitive Contagion with Sparse Seeding." IFAC-PapersOnLine, 52 (20).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Societyen_US
dc.relation.journalIFAC-PapersOnLineen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-03-17T15:46:38Z
dspace.orderedauthorsSiami, M; Ajorlou, A; Jadbabaie, Aen_US
dspace.date.submission2023-03-17T15:46:40Z
mit.journal.volume52en_US
mit.journal.issue20en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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