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  • Influence
Measurement and analysis of online social networks
TLDR
This paper examines data gathered from four popular online social networks: Flickr, YouTube, LiveJournal, and Orkut, and reports that the indegree of user nodes tends to match the outdegree; the networks contain a densely connected core of high-degree nodes; and that this core links small groups of strongly clustered, low-degree node at the fringes of the network. Expand
On the evolution of user interaction in Facebook
TLDR
It is found that links in the activity network tend to come and go rapidly over time, and the strength of ties exhibits a general decreasing trend of activity as the social network link ages. Expand
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
TLDR
This paper shows that by extending the distant supervision to a more diverse set of noisy labels, the models can learn richer representations and obtain state-of-the-art performance on 8 benchmark datasets within emotion, sentiment and sarcasm detection using a single pretrained model. Expand
A measurement-driven analysis of information propagation in the flickr social network
TLDR
Analysis of large-scale traces of information dissemination in the Flickr social network finds that even popular photos do not spread widely throughout the network, and the role of word-of-mouth exchanges between friends in the overall propagation of information in the network is questioned. Expand
You are who you know: inferring user profiles in online social networks
TLDR
It is found that users with common attributes are more likely to be friends and often form dense communities, and a method of inferring user attributes that is inspired by previous approaches to detecting communities in social networks is proposed. Expand
Understanding the Demographics of Twitter Users
TLDR
This paper develops techniques that allow it to compare the Twitter population to the U.S. population along three axes (geography, gender, and race/ethnicity), and finds that theTwitter population is a highly non-uniform sample of the population. Expand
Growth of the flickr social network
TLDR
It is found that links tend to be created by users who already have many links, that users tend to respond to incoming links by creating links back to the source, and that users link to other users who are already close in the network. Expand
Analyzing facebook privacy settings: user expectations vs. reality
TLDR
A survey is deployed to 200 Facebook users recruited via Amazon Mechanical Turk, finding that 36% of content remains shared with the default privacy settings, and overall, privacy settings match users' expectations only 37% of the time, and when incorrect, almost always expose content to more users than expected. Expand
Measuring personalization of web search
TLDR
A methodology for measuring personalization in Web search results is developed and it is found that, on average, 11.7% of results show differences due to personalization, but that this varies widely by search query and by result ranking. Expand
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