2.1k citations · 6.9k across the 67 of their papers we have counts for
25 papers · 1 filter
Deciding what to display: maximizing the information value of social media
Sandra Servia-Rodríguez, Bernardo A. Huberman, Sitaram Asur
In information-rich environments, the competition for users' attention leads to a flood of content from which people often find hard to sort out the most relevant and useful pieces…
Detecting Flow Anomalies in Distributed Systems
Freddy Chong Tat Chua, Ee-Peng Lim, Bernardo A. Huberman
Deep within the networks of distributed systems, one often finds anomalies that affect their efficiency and performance. These anomalies are difficult to detect because the distrib…
Semantic Stability in Social Tagging Streams
Claudia Wagner, Philipp Singer, Markus Strohmaier +1
One potential disadvantage of social tagging systems is that due to the lack of a centralized vocabulary, a crowd of users may never manage to reach a consensus on the description…
How Random are Online Social Interactions?
Chunyan Wang, Bernardo A. Huberman
The massive amounts of data that social media generates has facilitated the study of online human behavior on a scale unimaginable a few years ago. At the same time, the much discu…
A Market for Unbiased Private Data: Paying Individuals According to their Privacy Attitudes
Christina Aperjis, Bernardo A. Huberman
Since there is, in principle, no reason why third parties should not pay individuals for the use of their data, we introduce a realistic market that would allow these payments to b…
From User Comments to On-line Conversations
Chunyan Wang, Mao Ye, Bernardo A. Huberman
We present an analysis of user conversations in on-line social media and their evolution over time. We propose a dynamic model that accurately predicts the growth dynamics and stru…
The Pulse of News in Social Media: Forecasting Popularity
Roja Bandari, Sitaram Asur, Bernardo A. Huberman
News articles are extremely time sensitive by nature. There is also intense competition among news items to propagate as widely as possible. Hence, the task of predicting the popul…
Artificial Inflation: The True Story of Trends in Sina Weibo
Louis Yu, Sitaram Asur, Bernardo A. Huberman
There has been a tremendous rise in the growth of online social networks all over the world in recent years. This has facilitated users to generate a large amount of real-time cont…
To Switch or Not To Switch: Understanding Social Influence in Recommender Systems
Haiyi Zhu, Bernardo A. Huberman, Yarun Luon
We designed and ran an experiment to test how often people's choices are reversed by others' recommendations when facing different levels of confirmation and conformity pressures.…
What Trends in Chinese Social Media
Louis Yu, Sitaram Asur, Bernardo A. Huberman
There has been a tremendous rise in the growth of online social networks all over the world in recent times. While some networks like Twitter and Facebook have been well documented…
Collective Attention and the Dynamics of Group Deals
Mao Ye, Chunyan Wang, Christina Aperjis +2
We present a study of the group purchasing behavior of daily deals in Groupon and LivingSocial and introduce a predictive dynamic model of collective attention for group buying beh…
Trends in Social Media : Persistence and Decay
Sitaram Asur, Bernardo A. Huberman, Gabor Szabo +1
Social media generates a prodigious wealth of real-time content at an incessant rate. From all the content that people create and share, only a few topics manage to attract enough…
Social Attention and the Provider's Dilemma
Christina Aperjis, Bernardo A. Huberman
While attracting attention is one of the prime goals of content providers, the conversion of that attention into revenue is by no means obvious. Given that most users expect to con…
Human Speed-Accuracy Tradeoffs in Search
Christina Aperjis, Bernardo A. Huberman, Fang Wu
When foraging for information, users face a tradeoff between the accuracy and value of the acquired information and the time spent collecting it, a problem which also surfaces when…
Influence and Passivity in Social Media
Daniel M. Romero, Wojciech Galuba, Sitaram Asur +1
The ever-increasing amount of information flowing through Social Media forces the members of these networks to compete for attention and influence by relying on other people to spr…
Predicting the Future with Social Media
Sitaram Asur, Bernardo A. Huberman
In recent years, social media has become ubiquitous and important for social networking and content sharing. And yet, the content that is generated from these websites remains larg…
Harvesting Collective Intelligence: Temporal Behavior in Yahoo Answers
Christina Aperjis, Bernardo A. Huberman, Fang Wu
When harvesting collective intelligence, a user wishes to maximize the accuracy and value of the acquired information without spending too much time collecting it. We empirically s…
Feedback loops of attention in peer production
Fang Wu, Dennis M. Wilkinson, Bernardo A. Huberman
A significant percentage of online content is now published and consumed via the mechanism of crowdsourcing. While any user can contribute to these forums, a disproportionately lar…
Persistence and Success in the Attention Economy
Fang Wu, Bernardo A. Huberman
A hallmark of the attention economy is the competition for the attention of others. Thus people persistently upload content to social media sites, hoping for the highly unlikely ou…
Social networks that matter: Twitter under the microscope
Bernardo A. Huberman, Daniel M. Romero, Fang Wu
Scholars, advertisers and political activists see massive online social networks as a representation of social interactions that can be used to study the propagation of ideas, soci…
Predicting the popularity of online content
Gabor Szabo, Bernardo A. Huberman
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…
Public Discourse in the Web Does Not Exhibit Group Polarization
Fang Wu, Bernardo A. Huberman
We performed a massive study of the dynamics of group deliberation among several websites containing millions of opinions on topics ranging from books to media. Contrary to the com…
Popularity, Novelty and Attention
Fang Wu, Bernardo A. Huberman
We analyze the role that popularity and novelty play in attracting the attention of users to dynamic websites. We do so by determining the performance of three different strategies…
Novelty and Collective Attention
Fang Wu, Bernardo A. Huberman
The subject of collective attention is central to an information age where millions of people are inundated with daily messages. It is thus of interest to understand how attention…