June 5, 2015: Personal Democracy Forum – Talk on taking pictures of virtual crowds

15JunJune 15, 2015 By admin

I spoke at the Personal Democracy Forum on June 5, 2015 on the topic of taking pictures of virtual crowds.

Slides:

2015 pdf-marc smith-node xl-social media sna from Marc Smith

Video:

You can request a sample NodeXL social media map and report from http://connectedaction.net

Here is a map of the #PDF15 hashtag: https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=47170

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:
@mlsif
@mediasmartguy
@digiphile
@stone_rik
@marc_smith
@rasiej
@mitgc_cm
@civichall
@slaughteram
@dantebarry

Top Hashtags in Tweet in Entire Graph:
#pdf15
#ian1
#asmsg
#bynr
#civictech
#aga3
#artknb
#t4us
#amwriting
#authorsummit2015

April 22, 2015 – Hospitality Technology’s Hotel Technology Forum NodeXL Workshop in Puerto Rico

04FebMay 7, 2015 By Marc Smith

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.

March 30-31, 2015 – Predictive Analytics World San Francisco – Think Link: Connecting to the Power of Social Networks with no Programing with NodeXL

04FebMay 7, 2015 By Marc Smith

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.

September 26, 2014: Sydney #Disrupt – Talking about social media networks

07SepMay 7, 2015 By Marc Smith

I will be speaking at the University of Sydney on September 26th, 2014 as part of the 2014 Sydney Disrupt conference.

This year’s theme is “Living Disruption”.

Speakers include:

A keynote by Maria Ogneva, on community building for employee and customer engagement
A keynote by Tom Hajdu, CEO of Disrupter, on disruptive innovations in the entertainment industry
Mya Dellow presenting her perspective on the educational value of the online gaming platform Minecraft.
Academy Award winner Mark Sagar demonstrating BabyX, a photo-realistic, intelligent infant avatar.
A panel of experts discussing the potentials and risk of gamification.
Marc Smith from the Social Media Research Foundation will provide practical knowledge about analyzing social media data in straight forward ways with freely available tools.
Ripple Effect Group team leading a wearable technologies design workshop.

Here is a recent map of the connections among people who tweeted “#disrupt“:

Here is a video review of the 2013 #Disrupt event.

I will also lead a workshop on using NodeXL, in a hands-on training on 25th September 2014 from 9am to 12pm in the Link Building (J13), Room 417.

The workshop is sponsored by the Digital Disruption Research Group (DDRG), in collaboration with the Complex Systems Research Group at the Faculty of Engineering & IT.

Talk September 12th: Retail & Consumer Goods Analytics Summit, San Diego – The Impact of Social Media on Data & Analytics

30JulMay 7, 2015 By Marc Smith

RIS News, the leading media organization for retail executives, and Consumer Goods Technology, the leading source for the consumer goods sector, have partnered to launch the 2014 Retail and Consumer Goods Analytics Summit. The conference hashtag is #RCAS2014.

I will speak on September 12th at the event. I present the Closing Keynote from 2:30 – 3:10pm on Friday. My talk is titled:

The Impact of Social Media on Data & Analytics

Speaker: Marc Smith, Director, Social Media Research Foundation

People talk about the products and services the use, love or hate all the time in social media. These conversations can be better understood through perspective of social network analysis. Network theory views the world as a web of connected people. Network analysis builds measures and visualizations of collections of connections to reveal the key people, groups and issues in these conversations. Using social media network maps and reports the confusing landscape of tweets and posts comes into focus. Information visualizations of the virtual crowds of people gathered around every brand, product, event, or service highlights the range of variation in the shape of these crowds. Six different patterns have been identified so far, allowing social media managers to recognize the nature of the brand network they have and the nature of the network they want to have. Network measures are useful as KPIs for tracking not just the size and volume of a social media stream, but also the shape and structure of the pattern of connections. The six patterns: divided, unified, fragmented, clustered, and in and out hub and spoke, are a useful guide to strategic engagement in social media.

These are social media network maps and reports for the terms risnewsinsights and “consumergoods OR cgsm2014 OR cgtmagazine“:

risnewsinsights Twitter…

consumergoods OR cgsm20

May 15, 2014: Keynote at Sam and Irene Black School of Business at Penn State University

07MayMay 7, 2015 By Marc Smith

I will speak at the Sam and Irene Black School of Business at Penn State University on Thursday, May 15, 2014.

I will talk about the themes Thinking across Boundaries, Learning by Doing, and Innovating through Collaboration in the context of the work of the Social Media Research Foundation to deliver an end-user friendly, free and open tool for social media network analysis.

The NodeXL project from the Social Media Research Foundation has crossed many boundaries, notably bridging the divide between the social sciences and the computer sciences.

We have learned a great deal as the NodeXL development team has released hundreds of updates to the application, guided by the feedback of our growing user community.

The Social Media Research Foundation team has innovated at multiple levels: organizationally we are a modern, virtual, distributed group of collaborators. Technically, we have focused our project on ease of use and automation rather than scale and sophistication, our users are not programmers. We have implemented many innovative network analysis and visualization techniques because we have been driven by a need to serve a diverse user population. The contributors to the project are themselves from a diverse range of disciplinary backgrounds, making it easier to shape the tool for the broadest audience.

May 7-9, 2014 – SQLPASS – San Jose – Social media network maps in Excel with NodeXL

10MarMay 7, 2015 By Marc Smith

I will present a talk at the 2014 SQL PASS Business Analytics Conference in San Jose on May 8th.

The talk will focus on free and open tools for creating network maps and reports that can illuminate the landscape of social media.

The graph represents a network of 633 Twitter users whose tweets in the requested date range contained “sqlpass”, or who were replied to or mentioned in those tweets. The tweets in the network were tweeted over the 15-day, 2-hour, 48-minute period from Tuesday, 25 February 2014 at 00:26 UTC to Wednesday, 12 March 2014 at 03:15 UTC.

There is an edge for each “replies-to” relationship in a tweet, an edge for each “mentions” relationship in a tweet, and a self-loop edge for each tweet that is not a “replies-to” or “mentions”.

The graph’s vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm. The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

The edge colors are based on edge weight values. The edge widths are based on edge weight values. The edge opacities are based on edge weight values. The vertex sizes are based on followers values. The vertex opacities are based on followers values.

Top 10 Vertices, Ranked by Betweenness Centrality:
@sqlpass
@laertesqldba
@nikoneugebauer
@karlakay22
@jenstirrup
@retracement
@grrl_geek
@sqlrockstar
@markvsql
@sqlservermag

Top URLs in Tweet in Entire Graph:
http://www.sqlpass.org/ss2014launch/Webinars.aspx
http://www.sqlpass.org/summit/2014/Speakers/CallForSpeakers.aspx
http://sqlsaturday.com/287/schedule.aspx
http://bi.sqlpass.org/
https://attendee.gotowebinar.com/register/5759204879042322946
https://attendee.gotowebinar.com/register/2383471085904007682
http://paper.li/PASSAppDev/1391708680
https://attendee.gotowebinar.com/register/3165768110532010497
https://attendee.gotowebinar.com/register/2196441958679840002
http://www.linkedin.com/slink?code=bNfBsHy

Top Hashtags in Tweet in Entire Graph:
#sqlpass
#sqlserver
#sql
#sqlsatexeter
#sqlpass_de
#sqlsaturday
#sqlsatvienna
#sqlsatportugal
#msbi
#sqlsatmadison

May 1-2, 2014 Talk at Social Media & Web Analytics Summit in San Francisco

09MarMay 7, 2015 By Marc Smith

I will speak at The Social Media & Web Analytics Summit on May 2nd.

Hosted by The Innovation Enterprise, the event provides 30+ industry case studies and over 20 hours of networking opportunities across 2 days.

The summit will cover the important topics relevant to business today:

Measuring, Evaluating & Predicting the Social Consumer
What Consumers Say vs. What They Do
Multi-Platform Consumer Engagement
Journey to Social Media ROI
Multi-Variate Experiments on the Web
Scientifically Measuring the Wealth of your Website

You can follow the event on Twitter with the hashtag: #IESocialWeb.

#IESocialWeb Twitter NodeXL SNA Map and Report for Friday, 14 March 2014 at 00:30 UTC

View an interactive version of this graph (experimental)

Continue reading →

April 24-25, 2014: TheNextWeb – Amsterdam – NodeXL talk about mapping social media networks

09MarMay 7, 2015 By Marc Smith

I spoke at TheNextWeb 2014 in Amsterdam on April 25th.

Here is a map of the connections among the people who recently tweeted the terms: tnwconference OR #TNWEurope OR thenextweb

This is a highly fragmented “Brand” network pattern with several prominent Broadcast hub and spoke structures centered around the most central participants: @thenextweb, @ow, @epro, @nicolasfordham, @gcouros, @malchord, @martinsfp, @plagia3, @k5launch, @taxion2.

I spoke about how anyone who can make a pie chart can now make these network maps and reports.

Interested in a map for a topic important to you? Request a free sample NodeXL social media network map and report.

March 17, 2014 Predictive Analytics World – San Francisco: Think Link! Network Insights with No Programming Skills

05MarMay 7, 2015 By Marc Smith

I will present a workshop at Predictive Analytics World in San Francisco on March 17, 2014.

Track 1: Social Media Analysis
Think Link! Network Insights with No Programming Skills

Networks are everywhere but collecting, analyzing, visualizing, and gaining insights into connected structures can require advanced technical skills. This session presents a free, easy-to-use tool for network analysis that builds on the familiar Excel spreadsheet called NodeXL. If you can make a pie chart, you can get insights into networks. The tool makes it easy to collect data from a range of social media (Twitter, Facebook, YouTube, etc.). Quickly create visualizations and reports on the shape of connected groups. Identify the key people, groups and topics in a community. Network analysis can reveal the hidden structures in streams of interactions.

Lecture

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