Social Complexity 10: Social Network Science

In this module we will be taking a very high-level view to social network analysis, we talk about how connectivity creates a certain type of space, or what we call a topology that stretches and distorts our traditional conception of linear space. We discuss how reasoning about the general forces that are acting on the network can help us in providing some overall context to our analysis. We then go on to talk about some of the primary considerations to a social network's overall makeup and...

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From: Complexity Academy

Related topics : social network analysis density / analysis of social networking

Two Mode Networks and One Mode Networks

This video defines, discusses, and works through an example of the difference between 2-mode and 1-mode matrices in social network analysis... and how to move from 2 modes to 1. Shot for the University of Maine at Augusta undergraduate social networks course.

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From: James Cook

Related topics : social network analysis courses

From Two Mode Networks to One Mode Networks for Comparison and Explanation

This video for the undergraduate social network analysis course at the University of Maine at Augusta considers a number of ways in which 2-mode matrices can be converted to 1-mode matrices as a way of comparing node characteristics. To provide a concrete example, real-life 2-mode information from the Maine State Legislature is included. Why would we want to work with 2-mode information? The explanation of variation in an outcome of importance is one good reason.

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From: James Cook

Related topics : social network analysis courses

Marc Smith, Social Media Research Foundation NodeXL Project

Marc Smith, co-founder and director of the NodeXL project, explains social network analysis to students at the University of Nebraska at Omaha. The UNO Social Media Lab and Social Media Metrics course collaborate on research projects.

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From: Jeremy Harris Lipschultz

Related topics : research social media / network analysis social media / social media metrics / social media courses / analysis social networks

Channa Mereya / Fix you - Mashup | That Harmonica Guy

I have currently enrolled in a social network analysis course and this video is one of my assignments. The aim? To understand how a piece of information propagates on social media. The goal? To get as many views/engagements possible in a week.

If you like it, please 'like' it on YouTube.

If you really really like it, please 'share' it with others.

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From: That Harmonica Guy

Related topics : social network analysis courses / network analysis social media

Uncovering Meaning in Twitter Networks Using NodeXL Pro

This walkthrough video demonstrates one variety of user-friendly social media data mining -- how to uncover meaning in Twitter search networks using the software package NodeXL Pro. Three applications: NodeXL's ready-made Top Ten function, working with word pairs in the text of Tweets to generate semantic networks, and characterizing hashtag overlaps for a more concentrated account of meaning in network form. I work with the example of the hashtag #Paris. Created for the undergraduate social...

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From: James Cook

Related topics : social network analysis courses / network analysis social media

ESADE - Data Analytics - Social Network Visualization with Gephi

This is the additional group work of Stefan Emprechtinger, Michael Wild, Max Meyer, Sebastiaan Steukers, and Paul Nuscheler for the course Data Analytics at ESADE. The video elaborates on social network analysis, Gephi with all its tools & functionalities, and on a targeted social media marketing campaign that focuses on the spreading of beliefs and information by influential members.

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From: MrPeacelovehappiness

Related topics : analysis of social network data / social media marketing campaign / network analysis social media / social media analytics tools

Garbage In, Garbage Out: Making Your UCINET Networks Make Sense

GIGO is the generation-old acronym for the phrase "Garbage In, Garbage Out," which means that your analytical program will produce nonsense output if you provide nonsense input. In this brief video for the undergraduate social networks course of the University of Maine at Augusta (visi http://uma.edu on the web), we consider how GIGO applies to working with UCINET social network analysis software. Some common ways that we inadvertently generate "garbage" results are considered. Data checking...

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From: James Cook

Related topics : social network analysis software ucinet / analysis of social networking

Installing and Working Around the Oddities of UCINET Software

In this video for the undergraduate social networks course of the University of Maine at Augusta -- http://uma.edu -- I walk through the process for installing UCINET social network analysis software and working around some of the oddities of UCINET software. These include: anti-virus software warnings, changes in software versions between the documentation that comes with UCINET and the version you will be using, the consequences of security settings you may have on your computer for...

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From: James Cook

Related topics : social network analysis software ucinet

Propagation of Rumour Through a Social Network

We focus on the study of rumour, a social phenomenon that is characterized by the spread of information throughout a social network. The pattern of the spread is just as important to characterizing a rumour as the information itself. In offline settings, rumours are typically spread in peer-to-peer fashion or through small groups because most individuals do not have the ability to expose it to many of their friends at the same time. Online social networks, conversely, allow individuals to make...

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From: Microsoft Research

Related topics : social network information / analysis of social networking