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:
At the Hospitality Technology’s Hotel Technology Forumin 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.
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.
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.