Title of article
Random walk modeling for retrieving information on semantic networking
Author/Authors
Abarghouei Nejad ، Meghdad Department of computational cognitive modeling - Institute of cognitive science study , Memariani ، Azizollah Department of Computer and Electrical Engineering - kharazmi university , Hatami ، Javad Department of Psychology - Institute for Cognitive Sciences Studies - University of Tehran , Asadpour ، Masoud Department of Electrical and Computer Engineering - University of Tehran
From page
55
To page
70
Abstract
In this article, the famous random walk model is exploited as a model of stochastic processes to retrieve some specific words which are used in social media by users. By spreading activation on semantic networking, this model can predict the probability of the words’ activation, including all probabilities in different steps. In fact, the trend of probability in different steps is shown and the result of two different weights, when the steps tend to infinity is compared. In addition, it is shown that the results of the random walk model are aligned with the experimental psychological tests, showing that, as a model for semantic memory, it is a suitable model for retrieving in social media.
Keywords
Semantic networking , retrieval system , random walk model , spreading activation , social media
Journal title
Mathematics Interdisciplinary Research
Journal title
Mathematics Interdisciplinary Research
Record number
2510852
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