Random Walk Modeling for Retrieving Information on Semantic Networking

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Abarghouei Nejad Meghdad; MEMARIANI AZIZOLLAH; HATAMI JAVAD; Asadpour Masoud

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Journal: Mathematics Interdisciplinary Research Year:2020 | Volume:5 | Issue:1 Page(s): 55-70

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Title

Random Walk Modeling for Retrieving Information on Semantic Networking

Author(s)

Abarghouei Nejad Meghdad | MEMARIANI AZIZOLLAH | HATAMI JAVAD | Asadpour Masoud

Keywords

Semantic networking

retrieval system

random walk model

spreading activation

social media

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.

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APA: Copy

Abarghouei Nejad, Meghdad, MEMARIANI, AZIZOLLAH, HATAMI, JAVAD, & Asadpour, Masoud. (2020). Random Walk Modeling for Retrieving Information on Semantic Networking. MATHEMATICS INTERDISCIPLINARY RESEARCH, 5(1), 55-70. SID. https://sid.ir/paper/748094/en

Vancouver: Copy

Abarghouei Nejad Meghdad, MEMARIANI AZIZOLLAH, HATAMI JAVAD, Asadpour Masoud. Random Walk Modeling for Retrieving Information on Semantic Networking. MATHEMATICS INTERDISCIPLINARY RESEARCH[Internet]. 2020;5(1):55-70. Available from: https://sid.ir/paper/748094/en

IEEE: Copy

Meghdad Abarghouei Nejad, AZIZOLLAH MEMARIANI, JAVAD HATAMI, and Masoud Asadpour, “Random Walk Modeling for Retrieving Information on Semantic Networking,” MATHEMATICS INTERDISCIPLINARY RESEARCH, vol. 5, no. 1, pp. 55–70, 2020, [Online]. Available: https://sid.ir/paper/748094/en

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