Typhoon Haiyan

Analysis Prepared for Humanity Road by ASU

Overview

• Category 5 “Super Typhoon”

• Made Landfall in Philippines on November 7,

2013

• Over 4000 fatalities confirmed so far

• Data used in this report was collected using

TweetTracker* from ASU. *http://tweettracker.fulton.asu.edu/

Dataset Statistics Property Value

No. Tweets 609,453

Avg. Tweet Length (characters) 83.97

No. Retweets 192,339 (31.6%)

No. Geotagged Tweets 303,301 (49.8%)

No. Unique Users 172,600

No. URLs 50,161

No. Unique Hashtags 25,123

No. Unique Mentioned Users 64,576

First Tweet Thu Nov 07 09:00:43 MST 2013

Last Tweet Sat Nov 09 10:13:38 MST 2013

Overall Trend Analysis General Trend of all tweets discussing the Typhoon.

Red vertical line indicates start of storm.

“Tacloban” Trend

“Unicef” Trend

Client Analysis

• Studied the software users employ to tweet.

• Compared mobile and non-mobile clients.

Mobile Client Trend

Keyword Analysis

• Word cloud of top words used in disaster.

• Larger words occur more often in the time period.

Tag cloud of entire dataset.

Tag cloud from the hour of landfall.

Geographic Analysis • Analyze location of geolocated tweets.

• Gives an understanding of where tweets are coming from.

24 Hours After Landfall 48 Hours After Landfall Landfall

Authors Fred Morstatter

Shamanth Kumar

Mark Karlsrud

Daniel Howe

Grant Marshall

Data Mining and Machine Learning Lab at ASU