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Artificial Neural Network Research in Online Social Networks

Artificial Neural Network Research in Online Social Networks

Steven Walczak
Copyright: © 2018 |Volume: 10 |Issue: 4 |Pages: 15
ISSN: 1942-9010|EISSN: 1942-9029|EISBN13: 9781522543930|DOI: 10.4018/IJVCSN.2018100101
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MLA

Walczak, Steven. "Artificial Neural Network Research in Online Social Networks." IJVCSN vol.10, no.4 2018: pp.1-15. http://doi.org/10.4018/IJVCSN.2018100101

APA

Walczak, S. (2018). Artificial Neural Network Research in Online Social Networks. International Journal of Virtual Communities and Social Networking (IJVCSN), 10(4), 1-15. http://doi.org/10.4018/IJVCSN.2018100101

Chicago

Walczak, Steven. "Artificial Neural Network Research in Online Social Networks," International Journal of Virtual Communities and Social Networking (IJVCSN) 10, no.4: 1-15. http://doi.org/10.4018/IJVCSN.2018100101

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Abstract

Artificial neural networks are a machine learning method ideal for solving classification and prediction problems using Big Data. Online social networks and virtual communities provide a plethora of data. Artificial neural networks have been used to determine the emotional meaning of virtual community posts, determine age and sex of users, classify types of messages, and make recommendations for additional content. This article reviews and examines the utilization of artificial neural networks in online social network and virtual community research. An artificial neural network to predict the maintenance of online social network “friends” is developed to demonstrate the applicability of artificial neural networks for virtual community research.

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