TITLE

Analysis of an Implicit Informal Learning Network within YouTube's Video Network

AUTHOR(S)
Mtafya, Ambele Robert; Dongjun Huang
PUB. DATE
August 2013
SOURCE
International Journal of Digital Content Technology & its Applic;Aug2013, Vol. 7 Issue 12, p56
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The emergence of web 2.0 technologies together with advances in mobile computing has made online socialization and collaboration a reality. Through Social Network sites now people can use various available social media tools to establish new ties and maintain the existing ones. One of the benefits seen is in how individualized learning or informal learning can easily be achieved. Human develop through learning, formally for some time but informally all the time. The questions they ask when they want to informally learn something are how, what, where, who and why. YouTube Query analysis of those keywords reveals that "how" leads by 66% followed by "what" 19%.Basing on this intuition we extract and analyze the implicit informal learning network of YouTube content. The degree distribution of original video network and the constructed inverse network were analyzed for the best fit. In both cases lognormal distribution emerged as a much suitable fit than the commonly assumed power law. Analysis of the important actor/item point out the utilization of YouTube's digital content as source of informal learning
ACCESSION #
98897484

 

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