Simulating the information diffusion process in complex networks using push and pull strategies

This data was imported from DBLP:

Authors: Król, D., Budka, M. and Musial, K.

http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6979351

Journal: ENIC

Pages: 1-8

Publisher: IEEE Computer Society

ISBN: 978-1-4799-6914-2

DOI: 10.1109/ENIC.2014.22

This data was imported from Scopus:

Authors: Król, D., Budka, M. and Musial, K.

Journal: Proceedings - 2014 European Network Intelligence Conference, ENIC 2014

Pages: 1-8

ISBN: 9781479969142

DOI: 10.1109/ENIC.2014.22

© 2014 IEEE. Simulation of information diffusion has recently attracted considerable interest from both academia and industry. One of the main reasons for this is the continuously expanding online world where sharing information is a 'one click' activity. This poses new research challenges related to explaining how the information spreads within and across a variety of online communities. The main goal of this study is to investigate how the information diffusion process can be simulated. The contribution of this paper is two - fold. First, we propose a new generic diffusion - based algorithm that is applicable in a wide range of scenarios. The algorithm is based on a social propagation mechanism, which embraces two most widely employed models: the independent cascade model and the linear threshold model. The second contribution of this research is a systematic empirical assessment of how proposed diffusion simulation strategies are associated with scope and speed of spread over a range of network structures and diffusion parameters.

This source preferred by Marcin Budka

This data was imported from Web of Science (Lite):

Authors: Krol, D., Budka, M., Musial, K. and IEEE

Journal: 2014 EUROPEAN NETWORK INTELLIGENCE CONFERENCE (ENIC)

Pages: 1-8

DOI: 10.1109/ENIC.2014.22

The data on this page was last updated at 17:31 on November 21, 2017.