June 1, 2015: Consumer Goods Sales and Marketing Summit in New York City

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There will be a NodeXL social media network analysis training session at the Consumer Goods Sales and Marketing Summit in New York City on June 1, 2015.

 

April 29-30: Innovation Enterprise – Social Media & Web Analytics Innovation – Simplify Digital Analytics

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The Social Media and Web Analytics Innovation conference is taking place on April 29 and 30th in San Francisco.

There will be a talk about the ways social network analysis can be applied to social media.

Using the free and open NodeXL application, it become as easy as making a pie chart to make a network chart and report.

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

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THIRD BIENNIAL MEETING OF THE WORLD BANK GROUP’S

INTERNATIONAL CORRUPTION HUNTERS ALLIANCE (ICHA)

ENDING IMPUNITY FOR CORRUPTION

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.