Dynamic and Static Influence Models on Starbucks Networks

Author

Kim, Minkyoung ; Zhang, Byoung-Tak ; Lee, June-Sup

Author_Institution

Interdiscipl. Program in Cognitive Sci., Seoul Nat. Univ., Seoul, South Korea

fYear

2009

fDate

20-22 July 2009

Firstpage

344

Lastpage

347

Abstract

In this paper, we consider Starbucks stores in Korea, which have been spread most rapidly in the world, as an exemplary social network. We define two kinds of influence models and analyze the diffusive power of each node in a network. One is Dynamic Influence Model for time-varying diffusion analysis and the other is Static Influence Model for cumulative spreading power analysis. The physical features of the most influential stores of the simulation results show that our social influence models are convincing.

Keywords

social sciences; Korea; Starbucks networks; Starbucks stores; cumulative spreading power analysis; dynamic influence models; social influence models; social network; static influence models; time-varing diffusion analysis; Cognitive science; Communication channels; Computer science; Diffusion processes; History; Joining processes; Power engineering and energy; Social network services; Technological innovation; Telecommunications; Diffusion of Innovation; Influence Model; Social Network Analysis; Starbucks Network;

fLanguage

English

Publisher

ieee

Conference_Titel

Social Network Analysis and Mining, 2009. ASONAM '09. International Conference on Advances in

Conference_Location

Athens

Print_ISBN

978-0-7695-3689-7

Type

conf

DOI

10.1109/ASONAM.2009.50

Filename

5231839