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What is Twitter, a social network or a news media?
TLDR
This work is the first quantitative study on the entire Twittersphere and information diffusion on it and finds a non-power-law follower distribution, a short effective diameter, and low reciprocity, which all mark a deviation from known characteristics of human social networks. Expand
I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
TLDR
This paper analyzed YouTube, the world's largest UGC VoD system, and provided an in-depth study of the popularity life-cycle of videos, the intrinsic statistical properties of requests and their relationship with video age, and the level of content aliasing or of illegal content in the system. Expand
Analysis of topological characteristics of huge online social networking services
TLDR
Cyworld, MySpace, and orkut, each with more than 10 million users, are compared and it is shown that they deviate from close-knit online social networks which show a similar degree correlation pattern to real-life social networks. Expand
Analyzing the Video Popularity Characteristics of Large-Scale User Generated Content Systems
TLDR
This paper empirically shows how UGC services are fundamentally different from traditional VoD services, and analyzes the intrinsic statistical properties of UGC popularity distributions, which discuss opportunities to leverage the latent demand for niche videos (or the so-called "the Long Tail" potential). Expand
Didn't you see my message?: predicting attentiveness to mobile instant messages
TLDR
It is identified that simple features extracted from the phone, such as the user's interaction with the notification center, the screen activity, the proximity sensor, and the ringer mode, are strong predictors of how quickly the user will attend to the messages. Expand
Comparison of online social relations in volume vs interaction: a case study of cyworld
TLDR
The first attempt to compare the explicit friend relationship network and implicit activity network is compared and it is reported that the in-degree and out-degree distributions are close to each other and the social interaction through the guestbook is highly reciprocated. Expand
Fragile online relationship: a first look at unfollow dynamics in twitter
TLDR
This work collects daily snapshots of the online relationships of 1.2 million Korean-speaking users for 51 days as well as all of their tweets to discover the major factors, including the reciprocity of the relationships, the duration of a relationship, the followees' informativeness, and the overlap of the relationship, which affect the decision to unfollow. Expand
The wisdom of the few: a collaborative filtering approach based on expert opinions from the web
TLDR
This work presents a novel method for recommending items to users based on expert opinions, which is a variation of traditional collaborative filtering: rather than applying a nearest neighbor algorithm to the user-rating data, predictions are computed using a set of expert neighbors from an independent dataset, whose opinions are weighted according to their similarity to the users. Expand
What is Gab: A Bastion of Free Speech or an Alt-Right Echo Chamber
TLDR
Gab is predominantly used for the dissemination and discussion of news and world events, and that it attracts alt-right users, conspiracy theorists, and other trolls, and the prevalence of hate speech is found to be much higher than Twitter, but lower than 4chan's Politically Incorrect board. Expand
From Cells to Streets: Estimating Mobile Paths with Cellular-Side Data
TLDR
The technique is to devise path segmentation, de-noising, and inference procedures to estimate the device stationary location, as well as its mobility path between stationary positions, and it is shown that mobility path accuracy improves with its length and speed, and counter to the intuition, accuracy appears to improve in suburban areas. Expand
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