یک مقاله پژوهشی در مورد مکانیسم انتشار اطلاعات عمومی
ترجمه نشده

یک مقاله پژوهشی در مورد مکانیسم انتشار اطلاعات عمومی

عنوان فارسی مقاله: Retweet: مکانیسم انتشار اطلاعات عمومی - یک مقاله پژوهشی
عنوان انگلیسی مقاله: Retweet: A popular information diffusion mechanism - A survey paper
مجله/کنفرانس: رسانه ها و شبکه های اجتماعی آنلاین - Online Social Networks and Media
رشته های تحصیلی مرتبط: مهندسی فناوری اطلاعات
گرایش های تحصیلی مرتبط: اینترنت و شبکه های گسترده، مدیریت سیستم های اطلاعاتی، سامانه های شبکه ای
کلمات کلیدی فارسی: ویژگی ها، Retweet، مدل پیش بینی، رفتار کاربر
کلمات کلیدی انگلیسی: Features، Retweet، Prediction model، User behavior
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.osnem.2018.04.001
دانشگاه: Department of Computer Science, Ryerson University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2018
شناسه ISSN: 2468-6964
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 15
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
کد محصول: E11223
فهرست انگلیسی مطالب

Abstract


1- Introduction


2- Categorization of research papers


3- Analysis of retweeting behavior


4- Retweet prediction


5- Retweet for information diffusion


6- Discussion and challenges


7- Conclusion


References

نمونه متن انگلیسی مقاله

Abstract


Retweeting or reposting a message is considered as an easily available information diffusion mechanism provided by Twitter or any other social network sites. By finding out why a user retweets a tweet, or predicting whether a tweet will be retweeted by a user, we can not only understand user's behavior or interest better, but also understand how information is diffused on the online social network. In this survey paper, we have explored various research works related to retweet prediction and retweeting behavior analysis, investigated the underlying reasons for spreading information in forms of retweets, and discussed the challenges of retweet related research. The purpose of the paper is to provide an overview of researches in retweet prediction area, which can be used as an introductory guide for future researchers in this field.


Introduction


Human beings tend to be social in nature. Being social not only means to live in a society but also means to exchange views and information with the members of the society. Traditional social network represents a society in a specific geographical location, or serving a specific purpose (e.g., common interest). But the boon of the Internet helps us form society including people from all over the world and serving all kinds of purposes. In simple words, online social network is the network of people formed over the Internet. It carries a great amount of data which reflect its users’ interest, behavior, and activities. It has the ability to spread information all around the world in the least amount of time. The data collected from these social networks have the potential to make effective contribution in many different areas of research, such as marketing, business analysis, human psychology analysis, etc. Among them, one important area is to study their use as a mechanism for information diffusion. Twitter is one of the most popular and widely used online social network sites. Twitter allows its users to create profile, publish messages, and share information with others. On Twitter, users’ posts are known as tweets which are not more than 140 characters long. These tweets may contain URLs, hashtags (keywords followed by "#" symbol used to categorize the tweet), mentions (other users’ usernames followed by "@" symbol), and emoticons. Users can also include photos and videos in their tweets.

  • اشتراک گذاری در

دیدگاه خود را بنویسید:

تاکنون دیدگاهی برای این نوشته ارسال نشده است

یک مقاله پژوهشی در مورد مکانیسم انتشار اطلاعات عمومی
نوشته های مرتبط
مقالات جدید
لوگوی رسانه های برخط

logo-samandehi

پیوندها