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.
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.
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.
http://www.predictiveanalyticsworld.com/sanfrancisco/2015/agenda.php#day1-1120b
11:20am-12:05pm
Track 2: Social Data
Think Link: Connecting to the Power of Social Networks with no Programing with NodeXL
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.
Some network data sets are created or received in the form of a matrix.
A matrix can be directed or undirected. In this example, we will import a directed network.
First open a blank NodeXL template.
Next open the matrix workbook in the same instance of Excel (just drag it into the title bar of the current NodeXL Excel instance).
Here is a simple asymmetric matrix with weights for tie strengths.
I am delighted to return to South Africa where I will participate in the Mammoth BI conference in Cape Town, on November 17-18, 2014 at the Cape Town International Conference Centre, Convention Square, 1 Lower Long Street, Cape Town, 8001, Western Cape, South Africa.
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.
8:30 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:
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
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:
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 2014 Restaurant Executive Summit will be held on November 3 – 5, 2014 at the Ritz-Carlton in Ft. Lauderdale, Florida.
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
McDonalds
Chipotle
@olivegarden
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.
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.
I attended and participated in the October 2-3, 2014 Digital Strategies for Development Summit hosted by the Asian Institute of Management and held in Makati City, Philippines.
The event gathered 50 speakers from around the world and more than 300 participants to focus on the role of digital and social technologies for civic needs. The summit focused on bringing people from many communities into a discussion of how technology can be used for:
“…enabling a better society and an empowered community? How can various stakeholders, including Government, Private Sector and Civil Society gain more momentum for their core mandates by leveraging the use of digital technology enabled solutions? Can Digital Technology create a platform for better collaboration and cooperation amongst various stakeholders?”
I spoke about the role social network analysis can play in understanding the emerging world of social media and computer mediated collective action.
