June 13th, 2010 by Marc Smith · 11 Comments
Hello! Social media network maps reveal the key people, groups, and topics discussed in a public conversation.
Here is a sample map for the term “CustServ” (a discussion about providing better “customer service”):
- CustServ Twitter Connections for early January 2014
The visualization represents the connections among 1699 Twitter users over a 2-day, 21-hour, 48-minute period from Wednesday, 08 January 2014 at 02:53 UTC to Saturday, 11 January 2014 at 00:42 UTC.
If you would like to request a custom social media network map made with NodeXL for the topic, hashtag, URL, or username of your choice complete the form below. I will generate the maps as requests come in and email you a pointer to the results which I will post to the NodeXL Graph Gallery: See - https://nodexlgraphgallery.org/Pages/Default.aspx
In the sample map above for the term “CustServ” the visualization represents the connections among 1699 Twitter users over a 2-day, 21-hour, 48-minute period from Wednesday, 08 January 2014 at 02:53 UTC to Saturday, 11 January 2014 at 00:42 UTC.
The most central and possibly “influential” contributors to this discussion are:
Top URLs in the discussion were:
[Read more →]
Tags: Connected Action · Measuring social media · NodeXL · Social Media · Social network · Social Network Analysis · Twitter · Visualization
July 30th, 2014 by Marc Smith · No Comments
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.
consumergoods OR cgsm20
Tags: 2014 · Companies · Conference · Connected Action · Foundation · Measuring social media · Metrics · NodeXL · Presentation · Research · SNA · Social Interaction · Social Media Research Foundation · Social network · Social Network Analysis · Social Theories and concepts · Sociology · Talk · Talks · Technology · Visualization
July 23rd, 2014 by Marc Smith · No Comments
The NodeXL team seeks qualified full and part time software developers to contribute to the development of the NodeXL application and the NodeXL Graph Gallery web site.
NodeXL is sponsored by the Social Media Research Foundation and is a free and open way to get insights into connected structures like networks. NodeXL makes it easy to extract networks from many social media platforms, and automatically process the data into a network visualization and report. Using NodeXL researchers, scholars, analysts, marketing, PR and event professionals can all easily collect, store, analyze, visualize, and publish reports on social media networks.
We seek a skilled developer who can work in a distributed virtual team to maintain end extend the application.
Candidates should have the following skills:
Required: .NET development skills in C#.
Because most of the NodeXL software is written in C#.
Required: Basic system administrator skills. Amazon EC2 experience is a plus, but certainly not required.
We have three NodeXL EC2 servers that need to be kept up and running. This involves regular server monitoring, backups, Windows updates, increasing disk sizes when necessary, and so on.
Desired: Excel programming skills, preferably with Visual Studio Tools for Office (VSTO).
The NodeXL Excel Template uses VSTO. These skills might be hard to come by, though, and any C# programmer should be able to learn the Excel programming model without much difficulty.
Desired: MySQL programming and administrator skills.
The NodeXL Graph Server runs on MySQL. Bonus: Experience dealing with larger databases. The Graph Server database is approaching half a terabyte, and having someone who knows how to manage that would be a big plus.
The NodeXL Graph Gallery is implemented in ASP.Net.
Desired: SQL Server programming skills.
The NodeXL Graph Gallery back end runs on SQL Server.
Would be nice: Forum moderation experience.
Because people ask lots of questions on the NodeXL CodePlex Discussion board.
Interested? Email firstname.lastname@example.org to submit an application.
Tags: 2014 · NodeXL · Social Media Research Foundation · Technology · Visualization
June 8th, 2014 by Marc Smith · 1 Comment
I will speak on June 18th at the IIeX-NA 2014 event in Atlanta, Georgia. The Insight Innovation Exchange conference focuses on advances in market research.
My talk is about the ways social network analysis can reveal important patterns in social media.
CHARTING COLLECTIONS OF CONNECTIONS IN SOCIAL MEDIA:
CREATING MAPS AND MEASURES WITH NODEXL
Susan Griffin (Chair), Marc Smith
lennyism OR insightnovation OR #IIeX Twitter NodeXL SNA Map and Report for Monday, 09 June 2014
The graph represents a network of 611 Twitter users whose tweets in the requested date range contained “lennyism OR insightnovation OR #IIeX”, or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 09 June 2014 at 00:24 UTC.
The requested date range was from Tuesday, 01 April 2014 at 00:00 UTC through Sunday, 08 June 2014 at 23:59 UTC.
The tweets in the network were tweeted over the 67-day, 4-hour, 35-minute period from Tuesday, 01 April 2014 at 00:26 UTC to Saturday, 07 June 2014 at 05:01 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 is directed.
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:
Top URLs in Tweet in Entire Graph:
Tags: 2014 · Conference · Foundation · Industry · Measuring social media · Metrics · NodeXL · Presentation · Research · SMRF · SNA · Social Media · Social Media Research Foundation · Social network · Social Network Analysis · Social Theories and concepts · Talks · Technology · Visualization
June 8th, 2014 by Marc Smith · No Comments
NetGloW ’14: Bridging Theory and Method: American, European, and Russian Studies
June 27-29, St Petersburg, Russia
I will remotely participate in the conference “Networks in the Global World 2014. Bridging Theory and Methods: American, European and Russian Studies” taking place in St Petersburg, Russia, June 27-29 2014. The 2 day, single-track conference will also have pre-conference workshops including a day devoted to using the NodeXL social media network analysis application. The primary organizing institution and host is the Centre for German and European Studies, Bielefeld University and the St Petersburg State University.
This will be the 2nd Networks in the Global World conference (for information on the 1st one held in 2012 see http://www.ngw.spbu.ru). This conference series brings together researchers exploring cutting edge networks research from around the globe. In 2014 the focus is on linking theory and methods that integrate information, communication, semantic and cultural networks.
The primary goal of the NetGloW conference series is to bring together networks researchers from around the globe, to unite the efforts of various scientific disciplines in response to the key challenges faced by network studies today, and to exchange local research results – thus allowing an analysis of global processes. It is also crucial for us to support junior researchers’ orientation in the complex landscape of network science, and to encourage applications of network analysis by practitioners.
The idea of the 2014 event is to discuss the key current issues and problems of linking theoretical and methodological developments in network analysis.
The structure of the conference: June 27th – workshops and seminar for practitioners; June 28th & 29th – presentations.
Confirmed invited speakers:
- Jana Diesner, University of Illinois at Urbana-Champaign, USA
- Loet Leydesdorff, University of Amsterdam, Netherlands
- Tom Valente, University of Southern California, USA
- Dimitris Christopoulos, MODUL University Vienna, Austria
- Mario Diani, University of Trento, Italy
- Peter Groenewegen, VU University Amsterdam, Netherlands
- Wouter de Nooy, University of Amsterdam, Netherlands
- Johanne Saint-Charles, University of Quebec at Montreal, Canada
- Marc Smith, Connected Action Consulting Group, USA
The sessions of the conference will include the following:
- Networks in Science, Technology, and Innovation: Traditional Approaches and Operationalization of New Theories
- Words and Networks
- Network Perspectives on Knowledge, Communication and Culture
- Making Sense of Big Network Data: Testing Hypotheses on New Data
- Social Movements and Collective Action as the Network Phenomena
- Network Analysis of Political and Policy-making Domains
The conference will host workshops on the following network analysis software: ConText, Pajek, NodeXL, UCINet, RSiena.
The conference will include seminar Network analysis: How can it be used by globally operating practitioners?
Host: Center for German and European Studies (St. Petersburg State University – Bielefeld University).
Working language: English.
Abstracts (200 words) will be published as a part of conference programme. Full papers (2500 words) should be submitted prior to the event. Selected full papers will be published in peer-reviewed journal(s).
Free accommodation will be provided for MA and PhD students who submitted the best abstracts.
Fee: Participation in the conference is free of charge.
Further information about the conference and registration form can be found at www.ngw.spbu.ru or requested via e-mail: email@example.com.
Tags: 2014 · Conference · Foundation · Measuring social media · NodeXL · Presentation · Research · SMRF · Social Interaction · Social Media · Social Media Research Foundation · Social network · Social Network Analysis · Social Theories and concepts · Sociology · Talk · Talks · University · Visualization · Workshop
June 8th, 2014 by Marc Smith · 5 Comments
A new book edited by Wendy Kellogg and Judy Olson is now available. Ways of Knowing in HCI is a collection of chapters on the subject of methods and theories that frame Human Computer Interaction studies.
I co-authored a chapter in the book with Professor Derek Hansen from Brigham Young University on the role social network analysis can play in Human Computer Interaction.
- A social network consisting of Twitter users (nodes) who have Tweeted the word “global warming” connected to one another based on Follow, Reply, or Mention relationships (edges). Nodes are assigned different colors based on clusters. Hubs with many followers are indicated by size.
The chapter outline:
A Brief History of Social Network Analysis
Social Network Analysis and Human-Computer Interaction
Goals of Social Network Analysis for HCI Researchers and Practitioners
1) Inform the design and implementation of new CSCW systems
2) Understand and improve current CSCW systems
3) Evaluate impact of CSCW system on social relationships
4) Design novel CSCW systems and features using SNA methods
5) Answer fundamental social science questions
Social Network Analysis Questions
Questions about Individual Social Actors
Questions about Overall Network Structure
Questions about Network Dynamics and Flows
Performing Social Network Analysis
Identify Goals & Research Questions
Sources of Network Data
Types of Social Networks
Representing Network Data
Three ways of representing network data
How to Analyze and Visualize Data
Network Analysis Tools
Commonly Used Network Analysis and Visualization Tools
Node-Specific Metrics: Focusing on the Trees
Common Centrality Metrics
Aggregate Network Metrics: Focusing on the Forest
Common Aggregate Network Metrics
Network Clusters & Motifs: Focusing on the Thickets
Network Dynamics and Information Flow
What Constitutes Good Work
Tags: 2014 · Book · Data Mining · Foundation · Measuring social media · NodeXL · Research · SMRF · Social Interaction · Social Media · Social Media Research Foundation · Social network · Social Network Analysis · Social Theories and concepts · Sociology · Visualization
June 6th, 2014 by Marc Smith · 11 Comments
NodeXL has new updates to its importers for Twitter users and lists.
We have released an updated version of NodeXL that simplifies and merges the previously separate User and List importers.
The new, streamlined importer treats an individual user as a list of one.
Lists can be defined by pointing to an existing Twitter List or simply entering a list of delimited user names into the text box.
The updated importer now collects many more tweets per person and parses these messages to generate reply and mention edges.
You can now define a group of Twitter users and find out how much they reply and mention one another.
You can even pull in the followers of each person, to see if they reply or mention people they also follow.
But ever since June 11, 2013, Twitter has made access to the “follows” edge data very difficult (its just very slow). Designed and implemented prior to the update that restricted access to the follower network, the original NodeXL Twitter list importers relied mostly on queries that are now impractically slow for all but the smallest lists of users who have small collections of followers.
The update to these User and List importer is partially an adaptation to these changes. The importer shifts away from the follower network to focus on the communication interaction data in the content of Tweets. Since Twitter offers more generous access to Tweets than to information about who follows who, we are obliged to make better use of what they do offer.
The results are insightful! Here is a map of the connections among the members of the United States Congress.
Tags: 2014 · Network data providers (spigots) · NodeXL · Social network
June 5th, 2014 by Marc Smith · No Comments
I participated in a webinar hosted by the Prospect Research Institute. We discussed the ways that NodeXL can simplify the task of collecting social media and social network data. The tool generates easy to understand reports that highlight insights into connected structures.
The slides associated with the talk can be found here:
Analyzing Social Media Networks with NodeXL: Insights from a Connected World
Tags: 2014 · Foundation · Measuring social media · Metrics · NodeXL · Presentation · Session · SMRF · SNA · Social Interaction · Social Media · Social Media Research Foundation · Social network · Social Network Analysis · Social Theories and concepts · Sociology · Talk · Talks · Training · Video · Visualization · Workshop
May 7th, 2014 by Marc Smith · No Comments
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.
Tags: 2014 · Collective Action · Foundation · Measuring social media · NodeXL · Presentation · Research · SMRF · SNA · Social Interaction · Social Media · Social Media Research Foundation · Social Network Analysis · Social Theories and concepts · Sociology · Talks · Visualization
April 15th, 2014 by Marc Smith · 15 Comments
There are at least six different types of social media network structures present in systems like Twitter and other services in which people are able to reply to one another.
Each of the six patterns is generated by the behavior of the individuals in the population.
In many cases the pattern you are is not the pattern you want to be.
This table describes each of the six patterns in terms of the difference between that pattern and the other five patterns.
Go down the rows until you find the pattern that most closely matches the network you currently have. Then work across the columns until you find the pattern that you want to become.
At the intersection is a color and a few ways to change and measure the transition from where you are to where you want to be.
A red square indicates an undesirable transition (who wants to become a divided discussion?). A yellow square is a low probability and difficult transition (it is hard to go from divided to unified). A blue square is a challenge but possible while a green square is a fairly easy transition to make.
Using this guide, you can plan a strategy for your social media engagement.
This slide is part of a larger slide deck about using social media network analysis to guide engagement. Look for slide 71.
Tags: 2014 · Measuring social media · Metrics · Research · Social Interaction · Social Media · Social Network Analysis · Social Theories and concepts · Sociology
April 14th, 2014 by Marc Smith · 1 Comment
The NodeXL team has just released a new version of the application.
Version 320 of NodeXL has some important changes.
All existing users of NodeXL
* UNINSTALL *
all existing copies of the application from their systems
prior to installing this version.
Benefits: NodeXL will now provide automated updates. Everyday NodeXL will check for updated code and patch itself automatically.
This is the LAST update for NodeXL that will require user involvement. We will push new features out to users as they are available and they will just show up in user’s applications.
Some additional features of the latest update:
- Imported Twitter networks now have an “in-reply-to tweet ID” column. This is a useful data element for building “paths” that capture how information flows through a network.
- When you lay out each of the graph’s groups in its own box, you can now select how the boxes are laid out. Go to NodeXL>Graph>Layout>Layout Options in the Excel ribbon. (Thanks to Cody Dunne for this feature.)
- The Check for Updates item has been removed from the Excel ribbon. NodeXL now automatically checks for updates once a day. Once this release is installed, NodeXL will automatically update itself when a new release is available. You will no longer have to manually download and install new releases. This release and those that follow will all be referred to as “NodeXL Excel Template 2014.” New releases will continue to have version numbers, but the numbers will be less important in light of the new auto-update feature.
- If you use third-party graph data importers, such as the Social Network Importer for NodeXL, note that the folder where the importers are stored has changed. See “Using third-party graph data importers in NodeXL Excel Template 2014” at http://nodexl.codeplex.com/discussions/522826.
- If you use third-party graph data importers, such as the Social Network Importer for NodeXL, note that the folder where the importers are stored must be specified in the NodeXL>Data>Import>Import Options dialog:
- If you use the NodeXL Network Server, an advanced command-line program that downloads a network from Twitter and stores the network on disk in several file formats, note that the program is no longer a part of NodeXL Excel Template. See “Using the NodeXL Network Server command-line program with NodeXL Excel Template 2014” at http://nodexl.codeplex.com/discussions/522830.
- When a Twitter network is imported, the hashtags in the “Hashtags in Tweet” (or “Hashtags in Latest Tweet”) column are now all in lower case. Previously, identical strings with different case letters would be counted differently. This is no longer the case and the result is that terms that had been divided are now unified. These terms will now have higher values and there will be more diversity in the top ten list.
Thanks for using NodeXL and stay tuned for additional updates!
Tags: 2014 · Network data providers (spigots) · NodeXL · SMRF · SNA · Social Media · Social Media Research Foundation · Social network · Visualization