User Personality Mining in Social Network Case Study: Iranian Facebook User’s Profile
سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 803
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شناسه ملی سند علمی:
RSTCONF01_515
تاریخ نمایه سازی: 30 آبان 1394
چکیده مقاله:
Social network’s is place that all people widely represent themselves. According to the growth of Internet and rapid developing of social network and its impact on social behavior, it seems essential to decomposition and analysis the data driven from them. User interaction in social network is a good measure of person behavior in real life. We begin to study relationship between Iranian Facebook users and their personality traits. We assume that there is a relation between personality traits that’s driven from the Big Five personality questions and information of Facebook user’s. On the other hand, our work tries to answer this question Can Iranian Facebook profiles predict characteristic traits? The purpose of this study was to identify and examine the relationship between personality and criteria obtained from social network. Since some preliminary research in this area was needed, at first we take a brief look at related work and glimpse regard to Big five personality test. Then we explain our method for collecting data and normalizing them to find the linear regression. One of the important issues we faced that is which feature of the Facebook related to the personality traits. Finally we find a model to predict one aspect of personality test with criteria picked up from Facebook. Agreeableness is the aspect that related to the some information gained from profiles
کلیدواژه ها:
نویسندگان
AliReza Jafari
Dep. of Electronic and Computer Engineering, Institute for higher Education Pouyandegan Danesh Chalous, Iran,
Jamshid Bagherzadeh
Dep. of Electrical Engineering and Computer Science, Urmia University Urmia, Iran,
Reza Tavoli
Dep. Of Mathematics, Islamic Azad University, Chalous Branch Chalous, Iran,
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