December 8 – 10, 2014, World Bank, Washington DC: INTERNATIONAL CORRUPTION HUNTERS ALLIANCE (ICHA) – Network analysis for detecting fraud


2014-Stolen Assets Recovery Initiative-WorldBank-Logo



December 8 – 10, 2014, World Bank, Washington DC

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.

November 6 and 7, 2014: University of Nebraska-Lincoln (UNL) symposium on The Future of Big Data in Lincoln, Nebraska



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.

Agenda: Thursday, November 6

8:30 a.m. Welcome

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

Physics/Engineering/Social Sciences/Libraries

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

Three phases of social media network success for marketing

The social media landscape is complex.  Social media network analysis makes it easier to understand and navigate social media.

Using the NodeXL social media network analysis add-in for Excel from the Social Media Research Foundation, I have made a large collection of network visualizations and reports, many of which can be seen in the NodeXL Graph Gallery.

Now that I have seen many social media network maps I observe that marketers are often interested in building “broadcast” network patterns.  This is one of the six basic social media network patterns documented in the recent Pew Research Internet Project report about Mapping Twitter Topic Networks.

There are at least three phases of possible success for a social media marketing effort: phase 1, you get an audience of people who will retweet what you post.  Phase 2, some of your audience gets its own audience for the content they repost from you.  Phase 3, a dense web of relationships emerges, a community of relationships.  This is a desirable phase because it sustains the conversation event when new messages from the brand account are not created.

20141018-Three pahses of social media network success