Lifespan and popularity measurement of online content on social networks

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2011-07-10 DOI:10.1109/ISI.2011.5984118

Beiming Sun, V. Ng

{"title":"Lifespan and popularity measurement of online content on social networks","authors":"Beiming Sun, V. Ng","doi":"10.1109/ISI.2011.5984118","DOIUrl":null,"url":null,"abstract":"With rapid development and increased popularity of social networks, more interests have been made in obtaining information from such social networking websites. Analysis on the popularity of online contents is one of the hottest interests which has triggered intensive research. Our research focuses on measuring the popularity of online posts within specified topics, such as “drug abuse”, as it can be used to detect the crime and discover potential drug abusers. We measure the lifespan and the popularity of drug related posts in order to know the level of influence they made. Identifying popular posts online can help us reveal the trend, and also detect the latent danger and may prevent future crime. In this paper, the Comment Arrival Model is proposed to identify the lifespan and the comment frequency pattern of posts, which are considered the main factors to define post popularity. And we present 4 general models to measure the popularity of posts which can be applied in different social network platforms. We also did experiments and evaluated the performance of models in two popular social networks in Hong Kong, HK Discussion and Twitter.","PeriodicalId":220165,"journal":{"name":"Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISI.2011.5984118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 9

Abstract

With rapid development and increased popularity of social networks, more interests have been made in obtaining information from such social networking websites. Analysis on the popularity of online contents is one of the hottest interests which has triggered intensive research. Our research focuses on measuring the popularity of online posts within specified topics, such as “drug abuse”, as it can be used to detect the crime and discover potential drug abusers. We measure the lifespan and the popularity of drug related posts in order to know the level of influence they made. Identifying popular posts online can help us reveal the trend, and also detect the latent danger and may prevent future crime. In this paper, the Comment Arrival Model is proposed to identify the lifespan and the comment frequency pattern of posts, which are considered the main factors to define post popularity. And we present 4 general models to measure the popularity of posts which can be applied in different social network platforms. We also did experiments and evaluated the performance of models in two popular social networks in Hong Kong, HK Discussion and Twitter.

查看原文本刊更多论文

社交网络上在线内容的寿命和受欢迎程度测量

随着社交网络的快速发展和日益普及，人们对从社交网站获取信息越来越感兴趣。分析网络内容的受欢迎程度是目前研究的热点之一。我们的研究重点是衡量特定主题下的网络帖子的受欢迎程度，比如“滥用药物”，因为它可以用来检测犯罪和发现潜在的滥用药物者。我们测量了与毒品相关的帖子的寿命和受欢迎程度，以了解它们的影响程度。识别网上的热门帖子可以帮助我们揭示趋势，也可以发现潜在的危险，并可能防止未来的犯罪。本文提出了评论到达模型来识别帖子的寿命和评论频率模式，这是定义帖子流行度的主要因素。并提出了4个通用模型来衡量帖子的受欢迎程度，这些模型可以应用于不同的社交网络平台。我们还在香港两个流行的社交网络HK Discussion和Twitter上做了实验并评估了模型的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics

自引率

0.00%

发文量