• Publications
  • Influence
Measurement and analysis of online social networks
TLDR
Online social networking sites like Orkut, YouTube, and Flickr are among the most popular sites on the Internet. Expand
Measuring User Influence in Twitter: The Million Follower Fallacy
TLDR
In this paper, using a large amount of data collected from Twitter, we present an in-depth comparison of three measures of influence. Expand
On the evolution of user interaction in Facebook
TLDR
We study the evolution of activity between users in the Facebook social network to capture this notion. Expand
Fairness Constraints: Mechanisms for Fair Classification
TLDR
Algorithmic decision making processes are increasingly becoming automated and data-driven in both online (e.g., spam filtering, product personalization) and offline settings. Expand
A measurement-driven analysis of information propagation in the flickr social network
TLDR
We collect and analyze large-scale traces of information dissemination in the Flickr social network. Contrary to viral marketing ``intuition,'' we find that (a) popular photos do not spread widely throughout the network, (b) even popular photos spread slowly through the networks, and (c) information exchanged between friends is likely to account for over 50 of all favorite-markings, but with a significant delay at each hop. Expand
Measurement, modeling, and analysis of a peer-to-peer file-sharing workload
TLDR
We show how the immutability of Kazaa's multimedia objects leads clients to fetch objects at most once; in contrast, a World-Wide Web client may fetch a popular page (e.g., CNN or Google) thousands of times. Expand
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
TLDR
In this paper, we introduce a new notion of unfairness, disparate mistreatment, which is defined in terms of misclassification rates. Expand
The impact of DHT routing geometry on resilience and proximity
TLDR
The various proposed DHT routing algorithms embody several different underlying routing geometries. Expand
King: estimating latency between arbitrary internet end hosts
TLDR
We present King, a tool that accurately and quickly estimates the latency between arbitrary Internet end hosts by using recursive DNS queries in a novel way. Expand
Towards Trusted Cloud Computing
TLDR
We propose the design of a trusted cloud computing platform (TCCP). Expand
...
1
2
3
4
5
...