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Scientometrics analysis: e-Research, e-Social Science, Digital Humanities 2000 - 2013. by @luiy. viz.oycib.org
311 adoption infographic for US cities based on their population and probability of adoption.
Team: Gregory Amenta, Will Kanyi, Jack o' Bryne, Subhrajit Das
Created for the Information Visualization MOOC course
Tools used: Sci-2, Adobe Illustrator, MS Excel
Some clusters overlap.
1. Cluster in red combine research on molecular pathogenesis and physiology of Alzheimer’s Disease (presenilins, amyloid pathology, oxidative stress, apoptosis neuroinflammation, secretases, neuron loss etc.), translational research and clinical interventions (amyloid, tau, animal model, cell culture technique, spectroscopy, pharmaceutical preparation, therapeutic intervention)
2. Pink cluster combines research on molecular pathogenesis and physiology of Alzheimer’s Disease (frontotemporal dementia, neurofibrillary tangle, ApoE) and genetic aspects of AD research. This cluster is connected to the red one.
3. Yellow cluster includes research on diagnosis, assessment, and disease monitoring (imaging and biological markers).
4. Green cluster includes research resources (grants, funding, laboratories, research personnel, training programs, data management etc.) and elements of care, support, and health economics of Alzheimer’s Disease (caregiver, home environment, cost assessment).
5. Dark blue cluster represent research on cognitive, behavioral and functional assessment of Alzheimer’s disease (cognitive impairment, memory loss, lifestyle, epidemiology), and health issues of patients (diabetes mellitus, hypertension, cardiovascular disease, risk, nutrition, metabolic).
6. Light blue is small and dispersed cluster with several aspects of dementia related to women (female, estrogen, progesterone, menopause) and health issues (stress, anxiety, obesity, depression). Both clusters overlap with yellow, green and red clusters.
Source: NIHRePORTER. Data provided by Dr. Li Shen, our client in the project ’30 years of Alzheimer’s disease research at NIA’, IVMOOC-2014.
A word burst analysis of data gathered from four journals from the Web of Science using three stemmed words. Visualization shows words occurring in abstracts between 1991 and 2012.
This network is so large it's really hard to see anything significant other than there's a lot of co-occurances happening. This is more of an eye-candy network as opposed to something more scientific. I used MEDLINE data for this. :/
_Graphic work for "Time line and burst detection" exercise
Decided the display format
Deleted all the ripetitive or not useful information
Decided hierarchy information
Color, grid and background image
**Version 03 (www.flickr.com/photos/mjstamper_ivmooc/8460988208/in/phot...) is the fixed version of this one**
About this Map
This map was created by searching through NSF data for titles that contain the term “global warming” on the Scholary Database (sdb.cns.iu.edu). The results shown here are organized by State and Award Amount (top) and State and Institutions within them receiving the awards (bottom).
How to Read this Map
This proportional symbol map shows 51 U.S. states and other jurisdictions using the Albers equal-area conic projection with Alaska, Puerto Rico, and Hawaii inset. Each dataset record is represented by a circle centered at its geolocation. The area, interior color, and exterior color of each circle may represent numeric attribute values. Minimum and maximum data values are given in the legend.
Information Visualization MOOC
Homework #1
15th Century Florentine family ties - wealth and power distribution.
IVMOOC course week 2 homework; heavily influenced by Diogo's work (go check it's great results: bit.ly/WCuN1G)
***Drat. Stupid fingers. I'll be changing "NFS" to "NSF" in the title and uploading again soon, but anyway...
2048 x 973px available to see details. View all sizes.
The map above shows only titles (from institutions) with "global warming" in them that received funding.
Searched for "global warming" in the title search box on Scholarly Database (sdb.cns.iu.edu) > downloaded search results > stripped out everything (including places without zipcodes) except for 'expected_total_amount', 'state', and 'zipcode' (pretty much what Ted did in one of the videos) > assigned latitude and longitude for zipcodes > visualized funding data by zipcode. Sci2 tool skipped over duplicated lat/long coordinates, hence some nodes having more than one line going to them...I think. :/
I'll clean up the lines in the next version, unless this is way off. University of Illinois Urbana-Champaign getting that many awards is pretty amazing. They must have been receiving awards since 1979...I'll have to go back and check dates for their first award and who has been getting them. Hmmm...
Bar graph came from entering amounts into Adobe Illustrator graphing tool.
My useful insight...if you want to do research on global warming and would like grants from the NSF, be affiliated with the University of Illinois at Urbana-Champaign.
Our team mapped the connections between HiveNYC members and community projects using various network perspectives (geospatial, bipartite, and temporal). The dataset was obtained from the Hive Fund Projects Database, which consisted of 54 projects and 47 members from 2011-2013.
Open Graph Of Live - IVMOOC Final Project. Red nodes have conflicting parents; red links are not widely supported.
View of the Open Tree of Life as a graph, with conflictive parenthood and non-commonly accepted taxonomy relationships
Word Co-Ocurrence Network. 2000-2013. Digital Humanities, e-Research, e-Social Science. by @luiy. viz.oycib.org