Video Sharing Network’ s Popularity Detection (Aparat)

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Mirzabagherbarzi Seyedeh Nika; Salehinezhad Mohammad Hossein; Rezaeian Kuchesfehan Fateme

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2022 | Issue:8

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Title

Video Sharing Network’ s Popularity Detection (Aparat)

Author(s)

Mirzabagherbarzi Seyedeh Nika | Salehinezhad Mohammad Hossein | Rezaeian Kuchesfehan Fateme

Keywords

Social Networks

Content Analysis

Factors

Channel

Abstract

Aparat has become one of the largest Iranian websites on the Internet which also has induced Social Network features. This article provides the Factors affecting the popularity of Social Networks and uses this information based on Aparat’ s attributes. A Content Analysis of 618 videos from 13 Aparat Channels was conducted. The main purpose is to find solutions or formulate that change each influence parameter to quantity knowledge and then make the connection between these parameters to get a final score for each Channel. This number is influenced by all the important Factors affecting the popularity of the Channel and that is the reason for its impotence. Moreover, it is used to rank Channels based on popularity.

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APA: Copy

Mirzabagherbarzi, Seyedeh Nika, Salehinezhad, Mohammad Hossein, & Rezaeian Kuchesfehan, Fateme. (2022). Video Sharing Network’ s Popularity Detection (Aparat). INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949621/en

Vancouver: Copy

Mirzabagherbarzi Seyedeh Nika, Salehinezhad Mohammad Hossein, Rezaeian Kuchesfehan Fateme. Video Sharing Network’ s Popularity Detection (Aparat). 2022. Available from: https://sid.ir/paper/949621/en

IEEE: Copy

Seyedeh Nika Mirzabagherbarzi, Mohammad Hossein Salehinezhad, and Fateme Rezaeian Kuchesfehan, “Video Sharing Network’ s Popularity Detection (Aparat),” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2022, [Online]. Available: https://sid.ir/paper/949621/en

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