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NodeXL Graph for dhsi2015
Featured NodeXL Network:
Digital Humanities Summer Institute 2015
View an interactive version of this graph (experimental)

This is the network of connections among 1,189 Twitter users whose recent tweets contained "#dhsi2015", tweeted over the 8-day, 21-hour, 24-minute period from Wednesday, 03 June 2015 at 19:18 UTC to Friday, 12 June 2015 at 16:42 UTC. The top 10 vertices, ranked by betweenness centrality are @georgeonline, @profwernimont, @myownvelouria, @dorothyk98, @dhinstitute, @ctschroeder, @profrehn, @jimmc_grath, @angeldnieves, and @sgahistory.

Have a look at the Digital Humanities Summer Institute 2015 Twitter network in the NodeXL Graph Gallery. Learn more about the Digital Humanities Summer Institute.
NodeXL Updates
More Downloads, Papers, and Courses
Featured NodeXL Video
Marc Smith | Network Mapping the Ecosystem
Featured Video

Dr. Marc Smith, director of the Social Media Research Foundation, recently spoke in New York City at the 2015 Personal Democracy Forum (#PDF15) at NYU. He argued for the need to visually map online communities and presented examples of pictures of online crowds created with the free and open NodeXL tool.

Watch the speech

Featured Academic Collaborator
#BigDataProblems: How To Navigate Hashtag Analytics in the Global Village
Featured Academic Collaborator

Jessica Percy-Campbell (@jessunit), MA Student at Concordia University, in Montreal presented a paper at the Canadian Sociology Association conference called "#BigDataProblems: How to Navigate Hashtag Analytics in the Global Village" which featured NodeXL and COSMOS.

Featured Academic Collaborator

Read the abstract

Featured NodeXL Paper
Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data
Featured paper
Dr. Juan Liu and colleagues from Palo Alto Research Center use NodeXL as a graph analysis tool to detect suspicious activities in healthcare networks.

Abstract
Detection of fraud, waste, and abuse (FWA) is an important yet difficult problem. In this paper, we describe a system to detect suspicious activities in large healthcare claims datasets. Each healthcare dataset is viewed as a heterogeneous network of patients, doctors, pharmacies, and other entities. These networks can be large, with millions of patients, hundreds of thousands of doctors, and tens of thousands of pharmacies, for example. Graph analysis techniques are developed to find suspicious individuals, suspicious relationships between individuals, unusual changes over time, unusual geospatial dispersion, and anomalous networks within the overall graph structure. The system has been deployed on multiple sites and data sets, both government and commercial, to facilitate the work of FWA investigation analysts.

Read the article

Featured NodeXL Slide Deck
Network Mapping the Social Media Ecosystem with NodeXL
Featured slide deck

Marc Smith, director of the Social Media Research Foundation shares the slides of his presentation at the Personal Democracy Forum (#PDF15) on slideshare.

View the slides

Featured NodeXL Tweet
@walterpike
Featured NodeXL Tweet

Follow @NodeXL and share your social media research experience with NodeXL.

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NodeXL Book
New NodeXL Book in Progress
A completely new volume is in the works collecting chapters on network research using NodeXL. We continue to seek chapter submissions: have a class, article, or research process you want to share, consider writing a chapter for the next NodeXL book!
Upcoming NodeXL Events
Conferences and Workshops
  • ENGAGE! 2015 in Ft. Lauderdale, Florida. September 9-11, 2015

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BOOKS:
ANALYZING SOCIAL MEDIA NETWORKS WITH NODEXL: INSIGHTS FROM A CONNECTED WORLD
COMMUNITIES IN CYBERSPACE
Recent
Publications
New Articles in the Encyclopedia of Social Network Analysis & Mining:
Combining Online Maps with Text Analysis
Mapping Online Social Media Networks
NodeXL: Simple Network Analysis for Social Media
Social Media Monitoring Tools and Services Report 2014 from Ideya
NodeXL listing