Business Analytics Forum hosted by the Business Analytics and Statistics Department at the University of Tennessee on April 20, 2015 will feature a talk on social media network analysis using the free and open NodeXL add-in for the popular Excel spreadsheet.
You can read more about the department and some of their initiatives here: http://issuu.com/utcba/docs/archwayswinter2014-15.finalpdf.forw/29?e=0
Hello North Bay Area network analysis fans!
Join the NodeXL users meetup at the Napa Embassy Suites hotel (1075 California Boulevard, Napa, California, 94559, USA) on the 27th of February at 6pm.
Meet other network, social network, and social media network researchers and practitioners.
Hear about the latest and upcoming updates in the free and open NodeXL application.
Connect to the NodeXL network! Please RSVP using the form below:
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.
April 28 & 29, San Jose, 2015
Data in. Decisions Out
The Data Visualization Summit is taking place in San Jose, April 28 & 29, 2015.
The summit is located at the San Jose Convention Center, 150 West San Carlos Street, San Jose, CA 95113.
There will be a talk about the ways social network analysis can be applied to better understand the shape and structure of social media.
Using the free and open NodeXL, non-programmers can now easily import, analyze, visualize and share reports on social media networks.
At the Hospitality Technology’s Hotel Technology Forum in Puerto Rico. April 22, 2015 there will be a talk about applying social media network analysis to better understand how guests talk about hotels in social media.
The guest experience is often reflected in the social media they create while on the property and after.
Some social media can help elevate a brand and provide insights and new ways to deliver services.
Some social media can amplify service problems and erode a brand.
Social media network maps and reports can help businesses navigate the complex landscape of social media, identifying the key people, groups and topics in the discussions that are relevant to the business.
In this talk we will review the ways NodeXL can be used to generate maps and reports that can guide a social media engagement strategy.
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.
The IT Leader’s Guide: How to Map Your Brand’s Social Media Network
Speaker: Marc A. Smith, Director, Social Media Research Foundation
Social media matters – it matters to consumers – and that social chatter can matter to you if you understood how to interpret it. Learn to identify your key social media influencers and use that information to amplify your brand’s message. Uncover connections between sales and social media data, empower marketing to uncover new dining trends and brand champions, and even impact loss prevention efforts. This session will teach you how to apply social media network maps to your brand (and competitor’s). Restaurant executives, in particular those with a technology mind-set, will find great value in learning how to build, interpret and use social network maps. Participants will have an opportunity to map their own brand on social media using the free and open NodeXL (http://nodexl.codeplex.com) tool.
Bring a Windows laptop running a recent copy of Office to participate in the exercises!
This is an example NodeXL social media network map and report for the hashtags #MURTEC, #HotelTechForum, #RestES or htmagazine:
Maps and reports like these reveal the structure of an online conversation, revealing the key people, groups, and topics.
The “mayors” of this discussion are:
@htmagazine, @vivianfatule, @htmagazinetv, @colorvisionc9,
@auramusicrd, @team_techy, @paolamunnigh, @chasanmiguel,
@lissyvalerio, and @josiasortizg.
The most commonly used hashtags related to this topic are:
#htmagazine, #restes, #fromage, #fort, #hospitality,
#yoveocolorvision, #htrest, #viande, #antigaspi, #mobile
Maps and reports for a range of dining and hospitality topics will be presented at the MURTEC training session.
THIRD BIENNIAL MEETING OF THE WORLD BANK GROUP’S
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.