مقاله انگلیسی رایگان در مورد مکانیسم انتشار اطلاعات عمومی – الزویر 2018

 

مشخصات مقاله
ترجمه عنوان مقاله Retweet: مکانیسم انتشار اطلاعات عمومی – یک مقاله پژوهشی
عنوان انگلیسی مقاله Retweet: A popular information diffusion mechanism – A survey paper
انتشار مقاله سال 2018
تعداد صفحات مقاله انگلیسی 15 صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس نمیباشد
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
شناسه ISSN 2468-6964
رشته های مرتبط مهندسی فناوری اطلاعات
گرایش های مرتبط اینترنت و شبکه های گسترده، مدیریت سیستم های اطلاعاتی، سامانه های شبکه ای
نوع ارائه مقاله
ژورنال
مجله رسانه ها و شبکه های اجتماعی آنلاین – Online Social Networks and Media
دانشگاه Department of Computer Science, Ryerson University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
کلمات کلیدی ویژگی ها، Retweet، مدل پیش بینی، رفتار کاربر
کلمات کلیدی انگلیسی Features، Retweet، Prediction model، User behavior
شناسه دیجیتال – doi
https://doi.org/10.1016/j.osnem.2018.04.001
کد محصول E11223
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
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

بخشی از متن 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.

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