Simulating context-driven activity cascades in online social networks on the google exacycle platform

Author

Sathanur, A.V. ; Miao Sui ; Jandhyala, V. ; Tyka, M.D. ; Deflaux, N.A.

Author_Institution

Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA

fYear

2014

fDate

5-8 Oct. 2014

Firstpage

1388

Lastpage

1391

Abstract

In this work a micro-scale generative model for simulating context-driven information cascades in online social networks is presented and analyzed. Activity cascades on online social networks are explained by the dynamic variation in the spectral radius of the sociologically derived local influence matrix. A stochastic discrete-event agent-based simulator working with synthesized graph topologies, that emulates people´s behavior on online social networks is used in conjunction with time-varying local models to generate macro-level activity cascades.

Keywords

discrete event simulation; graph theory; matrix algebra; social networking (online); Google Exacycle platform; context-driven activity cascade; context-driven information cascades; graph topology; local influence matrix; macro-level activity cascades; microscale generative model; online social networks; stochastic discrete-event agent-based simulator; time-varying local models; Context modeling; Equations; Mathematical model; Modulation; Monte Carlo methods; Social network services; Stochastic processes; Activity Cascades; Agent-based Models; Generative Models; Social Media; Spectral Radius; Stochastic Processes; Virality;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on

Conference_Location

San Diego, CA

Type

conf

DOI

10.1109/SMC.2014.6974108

Filename

6974108