Network Visualization guest lecture at #DataVizQMSS at @Columbia / #SNA at PU...Denis Parra Santander
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- First version was a guest lecture about Network Visualization in the class "Data Visualization" taught by Dr. Sharon Hsiao in the QMSS program at Columbia University http://www.columbia.edu/~ih2240/dataviz/index.htm
- This updated version was delivered in our class on SNA at PUC Chile in the MPGI master program.
Each month, join us as we highlight and discuss hot topics ranging from the future of higher education to wearable technology, best productivity hacks and secrets to hiring top talent. Upload your SlideShares, and share your expertise with the world!
Not sure what to share on SlideShare?
SlideShares that inform, inspire and educate attract the most views. Beyond that, ideas for what you can upload are limitless. Weโve selected a few popular examples to get your creative juices flowing.
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A network is a collection of connections. Learn how to express an edge in NodeXL. If you can make a pie chart, you can now make a network chart in NodeXL,
2015 #MMeasure-Marc Smith-NodeXL Mapping social media using social network ma...Marc Smith
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NodeXL social media network analysis of Twitter reveals six common structures in Twitter networks.
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Network Visualization guest lecture at #DataVizQMSS at @Columbia / #SNA at PU...Denis Parra Santander
ย
- First version was a guest lecture about Network Visualization in the class "Data Visualization" taught by Dr. Sharon Hsiao in the QMSS program at Columbia University http://www.columbia.edu/~ih2240/dataviz/index.htm
- This updated version was delivered in our class on SNA at PUC Chile in the MPGI master program.
Each month, join us as we highlight and discuss hot topics ranging from the future of higher education to wearable technology, best productivity hacks and secrets to hiring top talent. Upload your SlideShares, and share your expertise with the world!
Not sure what to share on SlideShare?
SlideShares that inform, inspire and educate attract the most views. Beyond that, ideas for what you can upload are limitless. Weโve selected a few popular examples to get your creative juices flowing.
How to use social media network analysis for amplificationMarc Smith
ย
How can social media network analysis help you get your message out? Use network maps of social media to identify the most influential contributors based on their location within the network. Use content analysis to identify the topics, hashtags and URLs of greatest interest to the "mayors" of the hashtags that matter to you.
A network is a collection of connections. Learn how to express an edge in NodeXL. If you can make a pie chart, you can now make a network chart in NodeXL,
2015 #MMeasure-Marc Smith-NodeXL Mapping social media using social network ma...Marc Smith
ย
Networks are a powerful way to understand social media.
This talk reviews the ways the NodeXL application can be used to reveal the social media networks structures around topics.
2014 TheNextWeb-Mapping connections with NodeXLMarc Smith
ย
Slides from a talk at the 2014 TheNextWeb in Amsterdam.
NodeXL social media network analysis of Twitter reveals six common structures in Twitter networks.
Think Link: Network Insights with No Programming SkillsMarc Smith
ย
Networks are everywhere, but the tools for end users to access, analyze, visualize and share insights into connected structures have been absent. NodeXL, the network overview discovery and exploration add-in for Excel makes network analysis as easy as making a pie chart.
2013 NodeXL Social Media Network AnalysisMarc Smith
ย
Social media network analysis and visualization with NodeXL - the network overview discovery and exploration add-in for Excel. Map Twitter, Facebook, email, blogs, and the web with a point and click interface within the familiar spreadsheet.
Course description for Optimice class on organizational network analysis (ONA) - the application of social network analysis (SNA) to business organizations.
Slides for talk at ConTech 2011 the International Symposium on Convergence Technology (ConTech 2011) โ Smart & Humane World โ on November 3rd in Seoul, South Korea.
Date: 2011 November 3 (Thurs)
Place: COEX Grand Ballroom, Seoul, Korea
Organized by Advanced Institutes of Convergence Technologies (AICT), Seoul National University (SNU)
In Cooperation with Ministry of Knowledge Economy, Ministry of Education, Science and Technology, National Research Foundation of Korea, Graduate School of Convergence Science and Technology (GSCST)
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Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.๐คฏ
We will dig deeper into:
1. How to capture video testimonials that convert from your audience ๐ฅ
2. How to leverage your testimonials to boost your sales ๐ฒ
3. How you can capture more CRM data to understand your audience better through video testimonials. ๐
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Looking for professional printing services in Jaipur? Navpack n Print offers high-quality and affordable stationery printing for all your business needs. Stand out with custom stationery designs and fast turnaround times. Contact us today for a quote!
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Putting the SPARK into Virtual Training.pptxCynthia Clay
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Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
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Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
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"๐ฉ๐ฌ๐ฎ๐ผ๐ต ๐พ๐ฐ๐ป๐ฏ ๐ป๐ฑ ๐ฐ๐บ ๐ฏ๐จ๐ณ๐ญ ๐ซ๐ถ๐ต๐ฌ"
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โข Korean Vietnam Partnership - Fair with LG
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"๐๐ฏ๐๐ซ๐ฒ ๐๐ฏ๐๐ง๐ญ ๐ข๐ฌ ๐ ๐ฌ๐ญ๐จ๐ซ๐ฒ, ๐ ๐ฌ๐ฉ๐๐๐ข๐๐ฅ ๐ฃ๐จ๐ฎ๐ซ๐ง๐๐ฒ. ๐๐ ๐๐ฅ๐ฐ๐๐ฒ๐ฌ ๐๐๐ฅ๐ข๐๐ฏ๐ ๐ญ๐ก๐๐ญ ๐ฌ๐ก๐จ๐ซ๐ญ๐ฅ๐ฒ ๐ฒ๐จ๐ฎ ๐ฐ๐ข๐ฅ๐ฅ ๐๐ ๐ ๐ฉ๐๐ซ๐ญ ๐จ๐ ๐จ๐ฎ๐ซ ๐ฌ๐ญ๐จ๐ซ๐ข๐๐ฌ."
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This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
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Analyzing social media networks with NodeXL - Chapter-07 Images
1. 1Copyright ยฉ 2011, Elsevier Inc. All rights Reserved
Chapter 7
Clustering and Grouping
Analyzing Social Media Networks with NodeXL
Insights from a Connected World
2. 2Copyright ยฉ 2011, Elsevier Inc. All rights Reserved
FIGURE 7.1
Chapter7
A network of three densely connected clusters, each shown inside a
dashed circle. Ties between clusters are rare and less dense.
3. 3Copyright ยฉ 2011, Elsevier Inc. All rights Reserved
FIGURE 7.2
Chapter7
Unfiltered 2007 U.S. Senate co-voting network showing all 48 senators
connected to each other. Other columns in the NodeXL Edges worksheet
show the number of times each pair of senators voted the same and their
percentage agreement. A weak tie (Akaka and Allard) and a strong tie
(Akaka and Baucus) are highlighted. โRawโ visualizations like this require
refinement to display useful insights.
4. 4Copyright ยฉ 2011, Elsevier Inc. All rights Reserved
FIGURE 7.3
Chapter7
The NodeXL Autofill Columns window with Edge Visibility Options set to
โGreater Than 0.65โ and Edge Opacity Options set to a range of 0.65 (edge
opacity 10) to โThe largest number in the columnโ (edge opacity 100).
5. 5Copyright ยฉ 2011, Elsevier Inc. All rights Reserved
FIGURE 7.4
Chapter7
The 2007 U.S. Senate co-voting network graph after using Autofill Columns
(see Fig. 7.3), setting Vertex Shape to Label, and Edge Color to (128, 128,
192). The Fruchterman-Reingold Layout visually creates two clear groups
with a few boundary spanners in the middle after enough iterations.
6. 6Copyright ยฉ 2011, Elsevier Inc. All rights Reserved
FIGURE 7.5
Chapter7
NodeXL Layout Options window used to increase the repulsive force
between vertices, helping spread out vertices to reduce overlap.
7. 7Copyright ยฉ 2011, Elsevier Inc. All rights Reserved
FIGURE 7.6
Chapter7
The 2007 U.S. Senate co-voting network after applying the Find Clusters
feature and choosing to view the Graph Element โ Clusters from the
NodeXL ribbon. Each of the three automatically identified clusters is given a
name, color, and shape on the Clusters worksheet.
8. 8Copyright ยฉ 2011, Elsevier Inc. All rights Reserved
FIGURE 7.7
Chapter7
The NodeXL Cluster Vertices worksheet that maps each vertex into exactly
one cluster. For example, Collins is the only member of Cluster C14,
whereas Specter, Smith, and the others are members of Cluster C143.
9. 9Copyright ยฉ 2011, Elsevier Inc. All rights Reserved
FIGURE 7.8
Chapter7
The Cluster Vertices worksheet used to manually map each vertex
(senators) to a cluster (political party).
10. 10Copyright ยฉ 2011, Elsevier Inc. All rights Reserved
FIGURE 7.9
Chapter7
The NodeXL Clusters worksheet showing the four unique clusters and their
associated colors and shapes: Democrats (D) in blue, Republicans (R) in
red, and Independents (I) and Independent Democrats (ID) in dark orange.
11. 11Copyright ยฉ 2011, Elsevier Inc. All rights Reserved
FIGURE 7.10
Chapter7
Les Misรฉrables character co-appearance network with automatically
identified clusters represented by unique color and shape combinations.
12. 12Copyright ยฉ 2011, Elsevier Inc. All rights Reserved
FIGURE 7.11
Chapter7
Lobbying Coalition network
connecting organizations
(vertices) that have jointly
filed comments on U.S.
Federal Communications
Commission policies
(edges). Vertex size
represents number of filings
and color represents
eigenvector centrality (pink
higher). Darker edges
connect organizations with
many joint filings. Vertices
were originally positioned
using Fruchterman-
Reingold and
handpositioned to respect
clusters identified by
NodeXLโs Find Clusters
algorithm.