中文
相关论文

相关论文: Measurement and Analysis of an Online Content Voti…

200 篇论文

The social Web is transforming the way information is created and distributed. Blog authoring tools enable users to publish content, while sites such as Digg and Del.icio.us are used to distribute content to a wider audience. With content…

计算机与社会 · 计算机科学 2008-12-18 Kristina Lerman , Aram Galstyan

The new social media sites -- blogs, wikis, Flickr and Digg, among others -- underscore the transformation of the Web to a participatory medium in which users are actively creating, evaluating and distributing information. Digg is a social…

人机交互 · 计算机科学 2007-05-23 Kristina Lerman

The social news aggregator Digg allows users to submit and moderate stories by voting on (digging) them. As is true of most social sites, user participation on Digg is non-uniformly distributed, with few users contributing a…

计算机与社会 · 计算机科学 2016-11-18 Kristina Lerman

Online social media provide multiple ways to find interesting content. One important method is highlighting content recommended by user's friends. We examine this process on one such site, the news aggregator Digg. With a stochastic model…

计算机与社会 · 计算机科学 2012-02-02 Tad Hogg , Kristina Lerman

The rise of the social media sites, such as blogs, wikis, Digg and Flickr among others, underscores the transformation of the Web to a participatory medium in which users are collaboratively creating, evaluating and distributing…

计算机与社会 · 计算机科学 2012-07-03 Kristina Lerman

We present a method for accurately predicting the long time popularity of online content from early measurements of user access. Using two content sharing portals, Youtube and Digg, we show that by modeling the accrual of views and votes on…

计算机与社会 · 计算机科学 2008-11-06 Gabor Szabo , Bernardo A. Huberman

Popularity of content in social media is unequally distributed, with some items receiving a disproportionate share of attention from users. Predicting which newly-submitted items will become popular is critically important for both…

计算机与社会 · 计算机科学 2010-04-30 Kristina Lerman , Tad Hogg

Social networks have emerged as a critical factor in information dissemination, search, marketing, expertise and influence discovery, and potentially an important tool for mobilizing people. Social media has made social networks ubiquitous,…

计算机与社会 · 计算机科学 2010-03-16 Kristina Lerman , Rumi Ghosh

How does information flow in online social networks? How does the structure and size of the information cascade evolve in time? How can we efficiently mine the information contained in cascade dynamics? We approach these questions…

社会与信息网络 · 计算机科学 2010-11-18 Rumi Ghosh , Kristina Lerman

Social networks have emerged as a critical factor in information dissemination, search, marketing, expertise and influence discovery, and potentially an important tool for mobilizing people. Social media has made social networks ubiquitous,…

社会与信息网络 · 计算机科学 2013-08-14 Kristina Lerman , Rumi Ghosh , Tawan Surachawala

Who are the influential people in an online social network? The answer to this question depends not only on the structure of the network, but also on details of the dynamic processes occurring on it. We classify these processes as…

计算机与社会 · 计算机科学 2010-05-27 Rumi Ghosh , Kristina Lerman

The key feature of online social networks (OSN) is the ability of users to become active, make friends and interact via comments, videos or messages with those around them. This social interaction is typically perceived as critical to the…

社会与信息网络 · 计算机科学 2013-04-11 Christian Doerr , Norbert Blenn , Siyu Tang , Piet Van Mieghem

We describe a general stochastic processes-based approach to modeling user-contributory web sites, where users create, rate and share content. These models describe aggregate measures of activity and how they arise from simple models of…

计算机与社会 · 计算机科学 2009-10-06 Tad Hogg , Kristina Lerman

We performed statistical analysis on data from the Digg.com website, which enables its users to express their opinion on news stories by taking part in forum-like discussions as well as directly evaluate previous posts and stories by…

Popularity of content in social media is unequally distributed, with some items receiving a disproportionate share of attention from users. Predicting which newly-submitted items will become popular is critically important for both hosts of…

计算机与社会 · 计算机科学 2010-10-04 Kristina Lerman , Tad Hogg

Online systems where users purchase or collect items of some kind can be effectively represented by temporal bipartite networks where both nodes and links are added with time. We use this representation to predict which items might become…

社会与信息网络 · 计算机科学 2013-11-08 An Zeng , Stanislao Gualdi , Matus Medo , Yi-Cheng Zhang

Social networks are a prominent feature of many social media sites, a new generation of Web sites that allow users to create and share content. Sites such as Digg, Flickr, and Del.icio.us allow users to designate others as "friends" or…

计算机与社会 · 计算机科学 2007-10-31 Kristina Lerman

Media seems to have become more partisan, often providing a biased coverage of news catering to the interest of specific groups. It is therefore essential to identify credible information content that provides an objective narrative of an…

人工智能 · 计算机科学 2017-05-16 Subhabrata Mukherjee , Gerhard Weikum

As the rate of content production grows, we must make a staggering number of daily decisions about what information is worth acting on. For any flourishing online social media system, users can barely keep up with the new content shared by…

社会与信息网络 · 计算机科学 2016-11-18 Nathan O. Hodas , Kristina Lerman

Social media has fundamentally transformed how people access information and form social connections, with content expression playing a critical role in driving information diffusion. While prior research has focused largely on network…

社会与信息网络 · 计算机科学 2026-03-13 Ziqing Qian , Jiaying Lei , Shengqi Dang , Nan Cao
‹ 上一页 1 2 3 10 下一页 ›