Skip navigation
Skip navigation

Uncovering Diffusion in Academic Publications using Model-Driven and Model-Free Approaches

Kim, Minkyoung; Newth, David; Christen, Peter

Description

Information spreads across heterogeneous social systems, and the underlying network structures are hard to collect or define. The goal of this paper is to estimate macro-level information diffusion using time-series activity sequences of heterogeneous populations without the need to know detailed network structures. We propose a consistent way of understanding dynamic influence among populations with both model-driven and model-free approaches. As a real-word example, we focus on computer...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Conference paper
URI: http://hdl.handle.net/1885/67274
Source: Uncovering Diffusion in Academic Publications using Model-Driven and Model-Free Approaches
DOI: 10.1109/BDCloud.2014.107

Download

File Description SizeFormat Image
01_Kim_Uncovering_Diffusion_in_2014.pdf349.21 kBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  12 November 2018/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator