382 citations · 1.2k across the 41 of their papers we have counts for
22 papers · 1 filter
Can A User Anticipate What Her Followers Want?
Abir De, Adish Singla, Utkarsh Upadhyay +1
Whenever a social media user decides to share a story, she is typically pleased to receive likes, comments, shares, or, more generally, feedback from her followers. As a result, sh…
Non-submodular Function Maximization subject to a Matroid Constraint, with Applications
Khashayar Gatmiry, Manuel Gomez-Rodriguez
The standard greedy algorithm has been recently shown to enjoy approximation guarantees for constrained non-submodular nondecreasing set function maximization. While these recent r…
Steering Social Activity: A Stochastic Optimal Control Point Of View
Ali Zarezade, Abir De, Utkarsh Upadhyay +2
User engagement in online social networking depends critically on the level of social activity in the corresponding platform--the number of online actions, such as posts, shares or…
On the Complexity of Opinions and Online Discussions
Utkarsh Upadhyay, Abir De, Aasish Pappu +1
In an increasingly polarized world, demagogues who reduce complexity down to simple arguments based on emotion are gaining in popularity. Are opinions and online discussions fallin…
Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation
Jooyeon Kim, Behzad Tabibian, Alice Oh +2
Online social networking sites are experimenting with the following crowd-powered procedure to reduce the spread of fake news and misinformation: whenever a user is exposed to a st…
Harnessing Natural Experiments to Quantify the Causal Effect of Badges
Tomasz Kusmierczyk, Manuel Gomez-Rodriguez
A wide variety of online platforms use digital badges to encourage users to take certain types of desirable actions. However, despite their growing popularity, their causal effect…
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks
Nan Du, Yingyu Liang, Maria-Florina Balcan +3
A typical viral marketing model identifies influential users in a social network to maximize a single product adoption assuming unlimited user attention, campaign budgets, and time…
Uncovering the Spatiotemporal Patterns of Collective Social Activity
Martin Jankowiak, Manuel Gomez-Rodriguez
Social media users and microbloggers post about a wide variety of (off-line) collective social activities as they participate in them, ranging from concerts and sporting events to…
Uncovering the Dynamics of Crowdlearning and the Value of Knowledge
Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez
Learning from the crowd has become increasingly popular in the Web and social media. There is a wide variety of crowdlearning sites in which, on the one hand, users learn from the…
Distilling Information Reliability and Source Trustworthiness from Digital Traces
Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar +3
Online knowledge repositories typically rely on their users or dedicated editors to evaluate the reliability of their content. These evaluations can be viewed as noisy measurements…
Smart broadcasting: Do you want to be seen?
Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar +2
Many users in online social networks are constantly trying to gain attention from their followers by broadcasting posts to them. These broadcasters are likely to gain greater atten…
On the Efficiency of the Information Networks in Social Media
Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera +2
Social media sites are information marketplaces, where users produce and consume a wide variety of information and ideas. In these sites, users typically choose their information s…
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez Rodriguez +3
Information diffusion in online social networks is affected by the underlying network topology, but it also has the power to change it. Online users are constantly creating new lin…
Learning and Forecasting Opinion Dynamics in Social Networks
Abir De, Isabel Valera, Niloy Ganguly +2
Social media and social networking sites have become a global pinboard for exposition and discussion of news, topics, and ideas, where social media users often update their opinion…
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades
Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Nan Du +3
When a piece of malicious information becomes rampant in an information diffusion network, can we identify the source node that originally introduced the piece into the network and…
Modeling Adoption and Usage of Competing Products
Isabel Valera, Manuel Gomez-Rodriguez
The emergence and wide-spread use of online social networks has led to a dramatic increase on the availability of social activity data. Importantly, this data can be exploited to i…
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song +1
Information spreads across social and technological networks, but often the network structures are hidden from us and we only observe the traces left by the diffusion processes, ca…
Quantifying Information Overload in Social Media and its Impact on Social Contagions
Manuel Gomez Rodriguez, Krishna Gummadi, Bernhard Schoelkopf
Information overload has become an ubiquitous problem in modern society. Social media users and microbloggers receive an endless flow of information, often at a rate far higher tha…
Scalable Influence Estimation in Continuous-Time Diffusion Networks
Nan Du, Le Song, Manuel Gomez Rodriguez +1
If a piece of information is released from a media site, can it spread, in 1 month, to a million web pages? This influence estimation problem is very challenging since both the tim…
Modeling Information Propagation with Survival Theory
Manuel Gomez Rodriguez, Jure Leskovec, Bernhard Schoelkopf
Networks provide a skeleton for the spread of contagions, like, information, ideas, behaviors and diseases. Many times networks over which contagions diffuse are unobserved and nee…
Structure and Dynamics of Information Pathways in Online Media
Manuel Gomez Rodriguez, Jure Leskovec, Bernhard Schölkopf
Diffusion of information, spread of rumors and infectious diseases are all instances of stochastic processes that occur over the edges of an underlying network. Many times networks…
Uncovering the Temporal Dynamics of Diffusion Networks
Manuel Gomez Rodriguez, David Balduzzi, Bernhard Schölkopf
Time plays an essential role in the diffusion of information, influence and disease over networks. In many cases we only observe when a node copies information, makes a decision or…