1. CSE5544 Final Project Interactive Visualization Tool(s) for IEEE Vis Publication Exploration and Analysis
Team Name: Publication Miner
Team Members: Xiaonan Ji & Tong Zhao
May 1st 2017

2. Motivation
Dataset: Visualization Publication Data Collection - 2,752 IEEE Visualization (IEEE VIS) publications from
Problem & Significance
Potential audiences: academics and students working in the Visualization domain.
Provide a rapid overview of the IEEE Vis research community and facilitate the cognition of its development over the past 25 years.
Facilitate exploration, analysis, and knowledge discovery regarding:
Specific research topics and publications
Relationships among multiple research topics and publications
Leverage impactful publications, and advise the audiences in developing research scopes to address existing gaps or challenges.

3. What did we do
Two visualizations addressing the VisPubData from different perspectives.
Map projection of publication content similarity
Interactive exploration & analysis
Citation/Reference network
Interactive exploration & analysis

4. Visualization 1 Map projection of publication content similarity
Interactive exploration & analysis

5. Objective & Prototype
Innovation
Gap?
Filled Gap
Potential future work
Mature area
Unexplored Area
New area
Important Publication & its highlighted citations/references
Clustering ->Topic?
Year 1
Year 2
Year 3
Generate interactive map projections (2D scatter plot) by placing 2,752 publications based on their text features derived from title, abstract, and keywords.
Questions to answer
How different research topics are developed over the 25 years?
How a research topic is explored/fulfilled by relevant publications?
What are the most impactful milestone publications? What are the citations and references?
What patterns can be identified? What kinds of new potentials can be identified?

6. Workflow of Implementation
Dataset
(.csv)
(Effective) Text Feature Development with NLP
Title
Dimensionality Reduction
Tokenization, POS Tagging & Chunking
Extraction of Noun Phrases (NPs)
Stemming (Porter Stemmer)
1-gram
Count
Abstract
Python
1 & 2-gram
Tf-idf
Truncated SVD
Keywords
t-SNE
Examine publication affinity and clustering with their positions in the 2D map.
Adjust resolution with zoom-in and zoom-out.
Identify important publications with their sizes.
Search publications of interests via DOI or text matching.
Click and select a publication for its references/citations.
Mouseover a publication to see instant information i.e. title and keywords.
Examine the evolution with year selection/filtering.
2D Map Projection D3
User Interaction
Sizing
Coloring
#Citations
Type
Year

7. Highlights To facilitate the cognition, exploration, and discovery:
NLP for effective text feature development and dimensionality reduction
Map projection accommodating 2,752 publication dots. Publication distribution and clustering (research topic) in the 2D space are based on their similarity/relationship in the text feature space. Three modes can be selected: title, abstract, and keywords.
Adjustable resolution with zoom-in and zoom-out features to examine clusters and publications on a customizable level.
Highlight of important publications (milestones) that have many citations.
Instant information display of a mouseover-ed publication.
Locate publications of interests by searching with a DOI or user keyword(s).
Suggest related publications (references and citations) of a user selected publication.
Selection/filter of publication years to examine the evolution through the past 25 years.

8. Analysis & Findings
We were able to identify many dominant research topics, including volume rendering, flow visualization, vector/tensor visualization, multi-dimensional visualization, graph visualization, user interaction and interface, visual data mining, etc.
While InfoVis, SciVis, and VAST have different focuses, there exist overlaps among them, for instance, user interaction and interface, multi-dimensional visualization…
Some research topics have met different patterns of evolution through the past years:
“Volume rendering“ - stable growth during the past years.
"Visualization of text document" - "slack" development: initial attention in 1995, but many following studies were not published until 2000s or after 2010.
“Graph visualization" - began to draw larger attentions around 2000, the issue of "clutter graph" in 2004, and many related solutions like "parallel coordinate“ and "focus and context” were applied to this scope after then.
Many milestone publications that were published in early years (1990s) continue to impact many recent studies, as reflected by the continuous increment of citations.
Some research trends and potential opportunities can be identified, as an example, the cognitive exploration of an dataset is drawing increasing attends in the recent years.

9. Visualization 2 Citation/Reference network
Interactive exploration & analysis

10. Thank you! 