The word-of-mouth diffusion has been regarded as an important mechanism to advertise a new idea, image, technology, or product in online social networks (OSNs). This paper studies the prediction of popular and viral image diffusion in Pinterest. We first characterize an image cascade from two perspectives: (i) volume - how large the cascade is, i.e., total number of users reached, and (ii) structural virality - how many users in the cascade are responsible for attracting other users. Our model predicts whether an image will be (a) popular in terms of the volume of its cascade, or (b) viral in terms of the structural virality. Our analysis reveals that a popular image is not necessarily viral, and vice versa. This motivates us to investigate...
Online social network (OSN) is quickly becoming a promising field of interest for big data analytics...
We survey the recent literature on theoretical models of diffusion in social networks and the applic...
The term ‘viral’ is used to describe a phenomenon that tends to be shared by those who encounter it....
The word-of-mouth diffusion has been regarded as an important mechanism to advertise a new idea, ima...
Predicting why and how certain content goes viral is attractive for many applications, such as viral...
Viral products and ideas are intuitively understood to grow through a person-to-person diffusion pro...
Hundreds of thousands of photographs are uploaded to the internet every minute through various socia...
Predicting the popularity of an image on social networks based solely on its visual content is a dif...
From Flickr to Facebook to Pinterest, pictures are increas-ingly becoming a core content type in soc...
Content popularity prediction has been extensively studied due to its importance and interest for bo...
Predicting the popularity of online content is an important task for content recommendation, social ...
Social networks are ubiquitous in the modern world for propagating and acquiring information. Thus, ...
The increase in the popularity of social media has shattered the gap between the physical and virtua...
We survey the recent literature on theoretical models of diffusion in social networks and the applic...
We investigate the predictability of successful memes using their early spreading patterns in the un...
Online social network (OSN) is quickly becoming a promising field of interest for big data analytics...
We survey the recent literature on theoretical models of diffusion in social networks and the applic...
The term ‘viral’ is used to describe a phenomenon that tends to be shared by those who encounter it....
The word-of-mouth diffusion has been regarded as an important mechanism to advertise a new idea, ima...
Predicting why and how certain content goes viral is attractive for many applications, such as viral...
Viral products and ideas are intuitively understood to grow through a person-to-person diffusion pro...
Hundreds of thousands of photographs are uploaded to the internet every minute through various socia...
Predicting the popularity of an image on social networks based solely on its visual content is a dif...
From Flickr to Facebook to Pinterest, pictures are increas-ingly becoming a core content type in soc...
Content popularity prediction has been extensively studied due to its importance and interest for bo...
Predicting the popularity of online content is an important task for content recommendation, social ...
Social networks are ubiquitous in the modern world for propagating and acquiring information. Thus, ...
The increase in the popularity of social media has shattered the gap between the physical and virtua...
We survey the recent literature on theoretical models of diffusion in social networks and the applic...
We investigate the predictability of successful memes using their early spreading patterns in the un...
Online social network (OSN) is quickly becoming a promising field of interest for big data analytics...
We survey the recent literature on theoretical models of diffusion in social networks and the applic...
The term ‘viral’ is used to describe a phenomenon that tends to be shared by those who encounter it....