The graph represents a network of 4,405 Twitter users whose tweets in the requested range contained “#pdf15 OR #wegov OR pdmteam OR @techpresident OR “personal democracy” OR Mlsif”, tweeted over the 42-day, 2-hour, 38-minute period from Saturday, 02 May 2015 at 21:24 UTC to Sunday, 14 June 2015 at 00:02 UTC.
Top 10 Vertices, Ranked by Betweenness Centrality:
Top Hashtags in Tweet in Entire Graph:
This problem is caused by a lack of trust. Excel documents may contain harmful code (“malware”) and the solution Microsoft created was the idea of “Trusted Locations”. Only folders that have been identified as “trusted locations” will allow you to open Excel files that run embedded code, which are needed by NodeXL to run.
Below are the steps needed to make a folder a trusted location. Once you have done that, NodeXL files stored in that folder will no longer display this error when they are opened.
Step 1: Open Excel Options from the File Menu in Excel
Select: Excel File Menu>Options
The Excel Options dialog. Select “Trust Center”.
Step 2: Choose the Trust Center tab on the menu on the left
The Excel Trust Center dialog. Select “Trust Center Settings”.
Step 3: Add a new trusted location where you will store your NodeXL files
Step 4. The Excel Trusted Locations dialog. Select “Add new location…”.
The Excel Trusted Location dialog. Enter the path to your NodeXL directory here.
Select the “Subfolders of this location are also trusted”. Select OK to every dialog.
It is not recommended that the download directory for your browser be granted Trusted location status. This will require NodeXL users to download files and then copy or move them to a Trusted Location in order to open and use the complete NodeXL functionality in the file.
There will be a one day crash course on all things “big data” at the upcoming San Francisco Predictive Analytics World conference on Monday, March 30th, 2015. Get the Big Data big picture with a day of introduction to the major concepts, methods, challenges, and best practices related to leveraging large volumes of information.
There will be a session on social media network analysis using NodeXL at the conference as well.
Networks are collections of connections — they are everywhere once you start to look. Learn how to collect, analyze, visualize, and publish insights into connected populations. Using the free and open NodeXL addin for Excel, anyone who can make a pie chart can now make a network chart. Create insights into social media, collaboration, organizations, markets, and other connected structures with just a few clicks. Easily publish reports with visualizations and content analysis. Apply social network analysis to your own brands, email, discussions or web sites.
I will speak about the value of a network perspective for the discovery of fraud and corruption in financial data at the December 9th session of the World Bank’s upcoming meeting of the Stolen Asset Recovery Initiative.
“The World Bank Group’s International Corruption Hunters Alliance (ICHA) brings together heads and senior officials of corruption investigating bodies and prosecuting authorities, anti-corruption experts, academics, and representatives of international organizations from over 130 countries. The 2014 meeting of the Alliance will focus on fighting corruption – and the vast illicit outflows generated by corruption – by sharing know-how and experiences in the use of both traditional and alternative corruption fighting approaches.”
All financial transactions create a network as one person transfers money from one account to another. A list of transactions creates a web of connections with an emergent shape or pattern. Within these patterns are key positions occupied by people with special power in the network. Mapping these transaction networks can reveal the hidden traces of financial crime.
I will speak at the University of Nebraska-Lincoln (UNL) at a symposium on The Future of Big Data in Lincoln, Nebraska, on November 6 and 7, 2014.
The event will feature presentations from academia, government, and the private sector, and workshops/lectures on topics related to big data. This event is open to the public.
Students and postdoctoral researchers are welcome to attend. The event should bring together people working in the computational sciences, federal agencies, and industry experts specializing in data management, analytics, and the future of information.
8:45 a.m. Tim Hesterberg, Google 9:30 a.m. Valinda Scarbro Kennedy, IBM Academic Initiative, Relationship Manager 10:15 a.m. Break 10:45 a.m. Jeffrey Gerard, The Climate Corporation 11:30 a.m. Jerry Roell, John Deere 12:15 p.m. Lunch; Tsengdar Lee, Project Manager, NASA 1:30 p.m. Two Concurrent Sessions:
Ag & Natural Resources
1:30 p.m. Adina Howe, Argonne National Lab Soil Microbiome 2:15 p.m. Natalia De Leon, Wisconsin 3:00 p.m. Heuermann Reception Lecture on Future of Agriculture 3:30 p.m. Heuermann Lecture on Future of Agriculture
1:30 p.m. Carl Lundstedt, UNL/CERN 2:15 p.m. Heidi Imker, Ullinois (Libraries) 3:00 p.m. Break 3:30 p.m. Marc Smith, Social Media Research Foundation
5:00–7:00 p.m. Poster Session and Reception
Friday, November 7
8:30 a.m. Adam Glynn, Emory University, and Konstantin Kashin, Harvard; Big Data and Social Sciences 9:15 a.m. Jennifer Thoegersen, UNL Data Curation Librarian 10:00 a.m. Panel with representatives from federal agencies to discuss funding opportunities:
Philip E. Bourne, Ph.D., Associate Director for Data Science, NIH
Ian Foster, Ph.D., Director of the Computation Institute & Argonne Distinguished Fellow, Argonne National Lab
George Strawn (Director, Networking and Information Technology Research & Development; NITRD)
12:00 p.m. Lunch and Keynote Speaker (Animal Sciences)
1:00 p.m. Todd Mockler, Danforth Center 1:45 p.m. Henry Neeman, HPC, University of Oklahoma 2:30 p.m. Adjourn
The theme of the event is “How to Feed Consumers with a #Digital @ppetite”
I will speak about the ways that restaurants and dining experiences are discussed in social media. I will show network maps that visualize the relationships among people who talk about restaurants created with the free and open NodeXL social media network analysis and visualization application.
Here are some recent NodeXL social media network maps for mentions of major chain restaurants featured in the NodeXL Graph Gallery: DunkinDonuts
These maps illustrate the shape of the crowd that gathers around the names of major chain restaurants. A few Twitter user accounts occupy key positions in these network crowds, these are the influential voices that are repeated widely by others.
Closer inspection (click through for details) reveals smaller groups or clusters which form as a smaller set of people interact with one another more than with the larger population. These groups have distinct topics of interest which are summarized in the content report associated with each visualization.
The network and content report can reveal the topics of interest to various groups in the discussion as well as the key people within each group.