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Predicting the popularity of content is important for both the host and users of social media sites. The challenge of this problem comes from the inequality of the popularity of con- tent. Existing methods for popularity prediction are…

Social and Information Networks · Computer Science 2013-04-17 Peng Bao , Hua-Wei Shen , Junming Huang , Xueqi Cheng

Mobile edge caching enables content delivery directly within the radio access network, which effectively alleviates the backhaul burden and reduces round-trip latency. To fully exploit the edge resources, the most popular contents should be…

Networking and Internet Architecture · Computer Science 2017-09-19 Peng Yang , Ning Zhang , Shan Zhang , Li Yu , Junshan Zhang , Xuemin Shen

Predicting the popularity of social media content in real time requires approaches that efficiently operate at global scale. Popularity prediction is important for many applications, including detection of harmful viral content to enable…

Social and Information Networks · Computer Science 2021-12-23 Daniel Haimovich , Dima Karamshuk , Thomas J. Leeper , Evgeniy Riabenko , Milan Vojnovic

We introduce a model for predicting the diffusion of content information on social media. When propagation is usually modeled on discrete graph structures, we introduce here a continuous diffusion model, where nodes in a diffusion cascade…

Machine Learning · Computer Science 2014-02-04 Cédric Lagnier , Simon Bourigault , Sylvain Lamprier , Ludovic Denoyer , Patrick Gallinari

WeChat is a mobile messaging application that has 549 million active users as of Q1 2015, and "WeChat Moments" (WM) serves its social-networking function that allows users to post/share links of web pages. WM differs from the other social…

Computers and Society · Computer Science 2016-11-17 Zhuqi Li , Lin Chen , Yichong Bai , Kaigui Bian , Pan Zhou

Diffusion of innovation can be interpreted as a social spreading phenomena governed by the impact of media and social interactions. Although these mechanisms have been identified by quantitative theories, their role and relative importance…

Physics and Society · Physics 2014-10-24 Márton Karsai , Gerardo Iñiguez , Kimmo Kaski , János Kertész

Predicting cascade dynamics has important implications for understanding information propagation and launching viral marketing. Previous works mainly adopt a pair-wise manner, modeling the propagation probability between pairs of users…

Social and Information Networks · Computer Science 2015-01-23 Yongqing Wang , Hua-Wei Shen , Shenghua Liu , Xue-Qi Cheng

Predicting the future popularity of information in online social networks is a crucial yet challenging task, due to the complex spatiotemporal dynamics underlying information diffusion. Existing methods typically use structural or…

Social and Information Networks · Computer Science 2026-03-11 Yuchen Wang , Dongpeng Hou , Weikai Jing , Chao Gao , Xianghua Li , Yang Liu

Selfies have become increasingly fashionable in the social media era. People are willing to share their selfies in various social media platforms such as Facebook, Instagram and Flicker. The popularity of selfie have caught researchers'…

Social and Information Networks · Computer Science 2017-02-28 Tianlang Chen , Yuxiao Chen , Jiebo Luo

Most social network sites allow users to reshare a piece of information posted by a user. As time progresses, the cascade of reshares grows, eventually saturating after a certain time period. While previous studies have focused heavily on…

Social and Information Networks · Computer Science 2020-03-24 Soumajyoti Sarkar , Ruocheng Guo , Paulo Shakarian

The spread of information has become faster and wider than ever with the advent of social network platforms. The question raised in this study is whether information dissemination in social networks is random or follows a discernible…

Social and Information Networks · Computer Science 2026-03-30 Rozhin Mohammadikian , Parsa Bigdeli , Behrouz Askari , G. Reza Jafari

Widespread interest in the diffusion of information through social networks has produced a large number of Social Dynamics models. A majority of them use theoretical hypothesis to explain their diffusion mechanisms while the few empirically…

Physics and Society · Physics 2011-05-18 José Luis Iribarren , Esteban Moro

An information outbreak occurs on social media along with the COVID-19 pandemic and leads to infodemic. Predicting the popularity of online content, known as cascade prediction, allows for not only catching in advance hot information that…

Social and Information Networks · Computer Science 2021-08-13 Ninghan Chen , Xihui Chen , Zhiqiang Zhong , Jun Pang

Edge-caching is recognized as an efficient technique for future cellular networks to improve network capacity and user-perceived quality of experience. To enhance the performance of caching systems, designing an accurate content request…

Signal Processing · Electrical Eng. & Systems 2019-03-08 Sajad Mehrizi , Anestis Tsakmalis , Symeon Chatzinotas , Bjorn Ottersten

From many datasets gathered in online social networks, well defined community structures have been observed. A large number of users participate in these networks and the size of the resulting graphs poses computational challenges. There is…

Social and Information Networks · Computer Science 2014-01-15 Alexander V. Mantzaris

The dynamics of information dissemination in social networks is of paramount importance in processes such as rumors or fads propagation, spread of product innovations or "word-of-mouth" communications. Due to the difficulty in tracking a…

Physics and Society · Physics 2010-03-01 Jose Luis Iribarren , Esteban Moro

Predicting the popularity of online content has attracted much attention in the past few years. In news rooms, for instance, journalists and editors are keen to know, as soon as possible, the articles that will bring the most traffic into…

Information Retrieval · Computer Science 2018-07-18 Sofiane Abbar , Carlos Castillo , Antonio Sanfilippo

Nowadays, social medias such as Twitter, Memetracker and Blogs have become powerful tools to propagate information. They facilitate quick dissemination sequence of information such as news article, blog posts, user's interests and thoughts…

Social and Information Networks · Computer Science 2014-09-09 Saba Babakhani , Niloofar Mozaffari , Ali Hamzeh

How predictable is success in complex social systems? In spite of a recent profusion of prediction studies that exploit online social and information network data, this question remains unanswered, in part because it has not been adequately…

Social and Information Networks · Computer Science 2016-02-03 Travis Martin , Jake M. Hofman , Amit Sharma , Ashton Anderson , Duncan J. Watts

Internet social networks have become a ubiquitous application allowing people to easily share text, pictures, and audio and video files. Popular networks include WhatsApp, Facebook, Reddit and LinkedIn. We present an extensive study of the…

Computers and Society · Computer Science 2018-02-13 Avi Rosenfeld , Sigal Sina , David Sarne , Or Avidov , Sarit Kraus