Network Analysis of MSI Student projects and keywords

Zhe (Jo) Pu Chutimon Sindhuprama

Introduction: Motivation

  SI students find partners for their class projects

  Annual campus-wide GROCS competition

  Students would like to initiate study groups or social activities

Methodology

  Data Collection

  Data Cleaning

  Analyze the Networks

  Developing Application

Data Collection and Cleaning

Network Analysis

  Students – Group Projects

  Students – Undergraduate Backgrounds

  Students - Interests

Students – Group Projects

Students – Group Projects [contʼ]

Specializations Gender

Students – Group Projects [contʼ]

Students – Undergraduate Backgrounds

Students – Undergraduate Backgrounds [contʼ]

Specializations

Students – Undergraduate Backgrounds [contʼ]

Students – Undergraduate Backgrounds [contʼ]

Students – Interests

Students – Interests [contʼ]

Specializations Gender

Students – Interests [contʼ]

Students – Interests [contʼ]

Application

Built with Prefuse in Java

Step 1: data retrieval from the MySQL database

Step 2: graph construction with data fetched on the fly

Step 3: the definitions for the look and feel of the graph

Step 4: UI elements that allows interaction and exploration with the network

Application -- features

•  Ego-graph with two tiers of vertices

1. Who has collaborated with this person in the past; 2. Roughly how many times two students have collaborated before; 3. What tags this person and his/her past teammates use to describe themselves; and 4. Who also shared a same tag to this person and his/her collaborators.

•  Aggregation by specialization

The shrinking effect

Application – features (contʼd)

•  Loading random graph as support of browsing

•  View recent graphs as support of browsing With a pre-defined maximum capacity of recently viewed graphs

Application -- demo

Thank you very much!Questions?