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Predicting the Popularity of Social Curation
2015The amount and variety of social media content such as status, images, movies, and music are increasing rapidly. Accordingly, the social curation service is emerging as a new way to connect, select, and organize information on a massive scale. One noticeable feature of social curation services is that they are loosely supervised: the content that users
Binh Thanh Kieu +2 more
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Prediction of Social Image Popularity Dynamics
2019This paper introduces the new challenge of forecasting the engagement score reached by social images over time. The task to be addressed is hence the estimation, in advance, of the engagement score dynamic over a period of time (e.g., 30 days) by exploiting visual and social features. To this aim, we propose a benchmark dataset that consists of \(\sim \
Ortis A., Farinella G. M., Battiato S.
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Predicting lifespans of popular tweets in microblog
Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval, 2012In microblog like Twitter, popular tweets are usually retweeted by many users. For different tweets, their lifespans (i.e., how long they will stay popular) vary. This paper presents a simple yet effective approach to predict the lifespans of popular tweets based on their static characteristics and dynamic retweeting patterns. For a potentially popular
Shoubin Kong +3 more
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Lifetime popularity prediction for online videos
2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2014The popularity of online content is unequally distributed. It has been observed that the top 20% most popular content account for about 80% of the network traffic. Inspired by the above observation, dynamic broadcast is designed to delivery popular content over broadcast networks to reduce the load of broadband network.
Zhiyi Tan 0003 +3 more
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Characterization and Prediction of Popular Projects on GitHub
2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), 2019GitHub is a large and popular open source project platform, which hosts various open source projects. Despite the prevalence of GitHub platform, not every project has gained high popularity. Identification of popular projects on GitHub can help developers choose proper projects to follow or contribute to, as well as provide guidance in building a ...
Junxiao Han +4 more
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A prediction criterion for selecting popular destinations
2011 IEEE GLOBECOM Workshops (GC Wkshps), 2011Inter-domain traffic engineering is being increasingly integrated in network management systems. Yet, scalability issues of traffic engineering may limit its applicability to large networks due to excessive computational costs and overhead of routing changes.
Alexandre Fonte +2 more
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Analyzing and predicting news popularity on Twitter
International Journal of Information Management, 2015HighlightsThe spreading of news published by popular news agencies is more time sensitive than general retweets.Retweets of the news burst in few seconds, while general retweets burst in a relatively long time.No previous works focus on the specific type of tweets (news) and news agencies.We study the mechanism behind how news is spreading on news ...
Bo Wu 0010, Haiying Shen
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A multimodality approach to predicting the popularity of sneakers
2015 IEEE International Conference on Consumer Electronics - Taiwan, 2015We present a computational approach for predicting the popularity score of sneakers through the analysis of growing amount of online data. Sneakers are described in several aspects based on which a popularity prediction model is constructed. In particular, we utilize the multiple kernel learning technique with customized kernels to analyze multimodal ...
Mei-Chen Yeh, Shao-Ting Yang
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Popularity Prediction of Burst Event in Microblogging
2014Every day, thousands of burst events are generated in microblogging first, and then affect the public opinion to a large degree. Thus, it is quite necessary to find out “how hot the burst event will be in the future”. In this paper, we propose a prediction model which combines the analysis of event content and users’ interest to predict the volume of ...
Xiaoming Zhang 0001 +3 more
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Real-Time Popularity Prediction on Instagram
2017Social network services have become a part of modern daily life. Despite explosive growth of social media, people only pay attention to a small fraction of them. Therefore, predicting the popularity of a post in social network becomes an important service and can benefit a series of important applications, such as advertisement delivery, load balancing
Deming Chu +4 more
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