03 تیر 1403

امین محمودی (مستعفی)

مرتبه علمی: استادیار
نشانی:
تحصیلات: دکترای تخصصی / علوم کامپیوتر
تلفن:
دانشکده: دانشکده علوم ریاضی و آمار

مشخصات پژوهش

عنوان
New time-based model to identify the influential users in online social networks
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
user weight, OSN, Time interval
سال
2018
مجله Data Technologies and Applications
پژوهشگران امین محمودی (مستعفی)

چکیده

Users are the key players in an online social network (OSN), so the behavior of the OSN is strongly related to their behavior. User weight refers to the influence of the users on the OSN. The purpose of this paper is to propose a method to identify the user weight based on a new metric for defining the time intervals. Design/methodology/approach The behavior of an OSN changes over time, thus the user weight in the OSN is different in each time frame. Therefore, a good metric for estimating the user weight in an OSN depends on the accuracy of the metric used to define the time interval. New metric for defining the time intervals is based on the standard deviation and identifies that the user weight is based on a simple exponential smoothing model.