Influence Propagation in Competitive Scenario: Winning with Least Amount of Investment in Separated Threshold Model

Anisha Mazumder, Arunabha Sen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In a market environment, there often are multiple vendors offering similar products or services. It has been observed that individuals' decisions to adopt a product or service are influenced by the recommendations of their friends and acquaintances. Consequently, in the last few years there has been considerable interest in the research community to study the dynamics of influence propagation in social networks in competitive settings. The goal of these studies is often to identify the key individuals in a social network, whose recommendations have significant impact on adoption of a product or service by the members of that community. Using Separated Threshold Model (SepT) [1] of influence propagation, in this paper we study a problem of similar vein, where the goal of the two vendors (players) is to win the competition by having a market share that is larger than its competitor. In our model, the first player has already identified a set of key influencers when the second player enters the market. The goal of the second player is to have a larger market share, but wants to achieve the goal with least amount of investment, i.e., by incentivizing the fewest number of key individuals (influencers) in the social network. The problem is NP-hard. We provide an approximation algorithm with O(log n) bound. Detailed experimentations have been conducted to evaluate the efficacy of our algorithm. Moreover, we present an equivalent random process for the SepT model which facilitates analysis of competitive influence propagation under this model.

Original languageEnglish (US)
Title of host publication2018 IEEE Conference on Decision and Control, CDC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5221-5226
Number of pages6
ISBN (Electronic)9781538613955
DOIs
StatePublished - Jan 18 2019
Event57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States
Duration: Dec 17 2018Dec 19 2018

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2018-December
ISSN (Print)0743-1546

Conference

Conference57th IEEE Conference on Decision and Control, CDC 2018
CountryUnited States
CityMiami
Period12/17/1812/19/18

Fingerprint

Threshold Model
Propagation
Social Networks
Scenarios
Recommendations
Veins
Random process
Experimentation
Efficacy
Approximation Algorithms
Approximation algorithms
Random processes
NP-complete problem
Model
Computational complexity
Influence
Market
Evaluate
Community

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Cite this

Mazumder, A., & Sen, A. (2019). Influence Propagation in Competitive Scenario: Winning with Least Amount of Investment in Separated Threshold Model. In 2018 IEEE Conference on Decision and Control, CDC 2018 (pp. 5221-5226). [8618661] (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2018.8618661

Influence Propagation in Competitive Scenario : Winning with Least Amount of Investment in Separated Threshold Model. / Mazumder, Anisha; Sen, Arunabha.

2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 5221-5226 8618661 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mazumder, A & Sen, A 2019, Influence Propagation in Competitive Scenario: Winning with Least Amount of Investment in Separated Threshold Model. in 2018 IEEE Conference on Decision and Control, CDC 2018., 8618661, Proceedings of the IEEE Conference on Decision and Control, vol. 2018-December, Institute of Electrical and Electronics Engineers Inc., pp. 5221-5226, 57th IEEE Conference on Decision and Control, CDC 2018, Miami, United States, 12/17/18. https://doi.org/10.1109/CDC.2018.8618661
Mazumder A, Sen A. Influence Propagation in Competitive Scenario: Winning with Least Amount of Investment in Separated Threshold Model. In 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 5221-5226. 8618661. (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2018.8618661
Mazumder, Anisha ; Sen, Arunabha. / Influence Propagation in Competitive Scenario : Winning with Least Amount of Investment in Separated Threshold Model. 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 5221-5226 (Proceedings of the IEEE Conference on Decision and Control).
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