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Getting and Processing Data from Twitter

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Getting and Processing Data from Twitter
Mathematics for Information Technology EA

COVER SHEET
2010 Fall Semester
Instructor: CLASTER William Class: Mathematics for Information Technology EA

Report: NodeXL Assignment

APM 1st year student 12410179 HOANG Nguyen Phong
Due Date: January 25, 2011 16:00

HOANG Nguyen Phong 12410179

Page 1

Mathematics for Information Technology EA

I.

Getting and Processing data from Twitter: Firstly, by “import tool” in NodeXL plug-in for Microsoft Excel, I searched for people whose tweets contains the key word “Julian Assange”, and ticked to all of three boxes “Follows”, “Replies-to”, and “Mentions relation” with the 100 people limitation so that I could get a stronger-connected graph. However, in some first searches, I could not get a reasonable graph as I expected due to 2 reasons. The first one is the limitation number was small, and I chose the box “I don’t have a twitter account” was another reason. And the graph was really weak-connected because there were only 4 or 5 edges and about over 90 single points. So I was not able to apply the “graph metrics” contents to consider these graphs. Then I registered to use twitter account to import more than 100 people data. This time I also used the key word “Julian Assange” but with the limitation up to 300 people. After that, I got 300 people whose tweets contain “Julian Assange”, and the graph was stronger-connected. Then I calculated all numbers by “Graph Metrics” tool, and removed some points which have zero degree in both of “in-degree” and “out-degree” in order that we can examine and deduce information more easily from the graph.

HOANG Nguyen Phong 12410179

Page 2

Mathematics for Information Technology EA

II.

Examining the graph: As for the Graph, under “Harel-Koren Fast Multiscale” algorithm and in “Layout Options” task, I chose the box “Move the graph’s smaller components into boxes at the bottom of the graph” with “Maximum size of the components to move” is 6, I got the below
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