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Agent-based modeling approach for the influence maximization problem

Title	Agent-based modeling approach for the influence maximization problem
Author	Danış, Dilek Günneç
Publication Date:	2018
Publication Place	- Afyon Kocatepe University
Subject	Targeted marketing, Social networks, Smallworld, Influence maximization, Agent-based modeling, Netlogo, Targeted marketing, Socialnetworks, Smallworld, Influencemaximization, Agent-based modeling
Type	Periodical
Language	Turkish
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	2149-3367
Record ID	c4a2fe6f-254c-4bd0-92ed-18cb4e81bc3a
Library Location	Industrial Engineering
Date	2018
Sample Text	Determining the people (target group) to whom a new product will be primarily offered to the market is an important but difficult problem to solve for market share estimation. In this article, a simulation study with agent-based modeling has been developed for this problem. The effects of characteristic features such as the importance of the people selected in the target group on the social network, persuasion skills, new product adaptation of others, and the target cluster size on the spread of the product are examined. Solutions for 12 different scenarios depending on these characteristics are evaluated., Identifyingfirstusers(target set) of a newproductentering a market is critical in forecastingthe market share, but also it is ahard-to-solve problem.Inthispaper, wedevelop an agent-basedmodelingapproachas a simulationmethod. Westudycharacteristicfeatures of thetarget set, such as theirimportanceoverthesocial network andpersuasionskills, togetherwiththe size of the set andthenewproductadoptionoftherestofthenetwork,tounderstandtheireffectsonproductspread. Weevaluatesolutions of12 scenarioswithnumericalexperimentsbased on thesecharacteristics.
Cilt	18

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Özyeğin University

Agent-based modeling approach for the influence maximization problem

Author Danış, Dilek Günneç

Publication Date 2018

Publication Place - Afyon Kocatepe University

Subject Targeted marketing, Social networks, Smallworld, Influence maximization, Agent-based modeling, Netlogo, Targeted marketing, Socialnetworks, Smallworld, Influencemaximization, Agent-based modeling

Type Periodical

Language Turkish

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 2149-3367

Record ID c4a2fe6f-254c-4bd0-92ed-18cb4e81bc3a

Library Location Industrial Engineering

Date 2018

Sample Text Determining the people (target group) to whom a new product will be primarily offered to the market is an important but difficult problem to solve for market share estimation. In this article, a simulation study with agent-based modeling has been developed for this problem. The effects of characteristic features such as the importance of the people selected in the target group on the social network, persuasion skills, new product adaptation of others, and the target cluster size on the spread of the product are examined. Solutions for 12 different scenarios depending on these characteristics are evaluated., Identifyingfirstusers(target set) of a newproductentering a market is critical in forecastingthe market share, but also it is ahard-to-solve problem.Inthispaper, wedevelop an agent-basedmodelingapproachas a simulationmethod. Westudycharacteristicfeatures of thetarget set, such as theirimportanceoverthesocial network andpersuasionskills, togetherwiththe size of the set andthenewproductadoptionoftherestofthenetwork,tounderstandtheireffectsonproductspread. Weevaluatesolutions of12 scenarioswithnumericalexperimentsbased on thesecharacteristics.

Cilt 18