Experiments on Data Preprocessing of Persian Blog Networks

TL;DR

This paper presents a framework for preprocessing and analyzing Persian blog network data, addressing challenges posed by large, diverse web data, and demonstrates its application through a case study.

Contribution

It introduces a novel framework tailored for Persian weblog data preprocessing and analysis, filling a gap in non-English social network research.

Findings

Effective preprocessing steps for Persian blog data

Insights gained from analyzing the Persian weblog network

Framework applicability demonstrated through case study

Abstract

Social networks analysis and exploring is important for researchers, sociologists, academics, and various businesses due to their information potential. Because of the large volume, diversity, and the data growth rate in web 2.0, some challenges have been made in these data analysis. Based on definitions, weblogs are a form of social networking. So far, the majority of studies and researches in the field of weblog networks analysis and exploring their stored data have been based on international data sets. In this paper, a framework for preprocessing and data analysis in weblog networks is presented and the results of applying it on a Persian weblog network, as a case study, are expressed.