@inproceedings{ae16808374e946f5b948a6cf0a482f5b,
title = "Understanding twitter data with tweetxplorer",
abstract = "In the era of big data it is increasingly difficult for an analyst to extract meaningful knowledge from a sea of information. We present TweetXplorer, a system for analysts with little information about an event to gain knowledge through the use of effective visualization techniques. Using tweets collected during Hurricane Sandy as an example, we will lead the reader through a workow that exhibits the functionality of the system.",
keywords = "Big data, Geospatial analysis, Retweet network, Twitter visualization",
author = "Fred Morstatter and Shamanth Kumar and Huan Liu and Ross Maciejewski",
note = "Publisher Copyright: Copyright {\textcopyright} 2013 ACM.; 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013 ; Conference date: 11-08-2013 Through 14-08-2013",
year = "2013",
month = aug,
day = "11",
doi = "10.1145/2487575.2487703",
language = "English (US)",
series = "Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining",
publisher = "Association for Computing Machinery",
pages = "1482--1485",
editor = "Rajesh Parekh and Jingrui He and Inderjit, {Dhillon S.} and Paul Bradley and Yehuda Koren and Rayid Ghani and Senator, {Ted E.} and Grossman, {Robert L.} and Ramasamy Uthurusamy",
booktitle = "KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining",
}