Social Network Analysis - The Basics
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Social Network Analysis - The Basics
Resources for SNA newbie
Curated by HelenTam
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#LAK13: Recipes in capturing and analyzing data - Using SNA on Canvas Discussions with NodeXL (for when it's not a SNAPP)

#LAK13: Recipes in capturing and analyzing data - Using SNA on Canvas Discussions with NodeXL (for when it's not a SNAPP) | Social Network Analysis - The Basics | Scoop.it
In this post I’ll cover three main areas: a very quick introduction into techniques/opportunities for analysing threaded networks using SNA; how I retrieved data from the Canvas platform for the #L...
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Research Conducted Using Data Obtained through Online Communities: Ethical Implications of Methodological Limitations

Research Conducted Using Data Obtained through Online Communities: Ethical Implications of Methodological Limitations | Social Network Analysis - The Basics | Scoop.it

An increasing number of public/private initiatives are exploring novel ways of conducting scientific research, including the use of social media and online collection of self-reported data.
Research relying on collection of self-reported data by self-selected participants has known methodological limitations, including selection bias, information bias, and confounding.
Such limitations may mean that results and conclusions of research using data obtained through online communities need to be interpreted with caution, as further replication is often required.
The findings of research, including their potential actionability, should be communicated to participants in a way that is understandable, accurate, complete, and not misleading.
The potential for sharing participants' data with third parties as well as the commercial uses of research findings should be disclosed to participants prior to consent.


Via bacigalupe, cometa23, eRelations
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SNAPP

SNAPP | Social Network Analysis - The Basics | Scoop.it
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Awesome tool for collecting relational data on Moodle.

The 2.0 Beta version gives statistics: Node id, #posts, degree, in-degree, out-degree, betweenness centrality, Eigenvector centrality.

Export options include: images (jpg/png), NetDraw (vna), Gephi Gefx and Dynamic Gefx (gefx).

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Home Page - Matthew O. Jackson

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A list of publications of Matthew O. Jackson - instructor of a MOOC course Social and Economic Networks.

You'll find useful readings on SNA from the list.

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A comparative study of social network analysis tools

A comparative study of social network analysistoolsDavid Combe, Christine Largeron, Előd Egyed-Zsigmondand Mathias GéryInternational Worksho
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Social Networks, Individuals and Small Worlds by Remko Helms

Comment: in this presentation, Remko Helms connects social networking analysis techniques with networked learning, in particular he analysis how particular characteristics of social networking affect networked learning and knowledge sharing. Some hightlights: slide 7 is a sociogram depicting the effects of knowledge drain because of employees retiringslide; slide 36 shows the difference between the familiar, formal organisation chart (tree) and the actual network of links people in the organisation maintain; slide 44 has some interesting, empirical conclusions: i) isolated individuals and subgroups are to be avoided as they miss out on the transfer of tacit knowledge, ii) employees should be selective about their learning relations, more isn't better, iii) mutual learning relations among experts and among novices should be stimulated; slide 45 has two questions for further research how do communities evolve over time and become successful, what is the role of the interaction between newbies and oldies in this?

Although the presentation focuses on companies and the employee networks therein, the reflections, conclusions and questions apply, mutatis mutandis, equally well to the personal networks people maintain for learning or to course-bound networks that arise spontaneously or are set up by learning institutions

(peter sloep, @pbsloep)


Via ukituki, eRelations, Peter B. Sloep
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Tutorial - Gephi

Gephi’s project aims to bring the perfect tool for visualizing and manipulating networks.

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SNA and changes in electoral preferences :: Social network analysis in practice

SNA and changes in electoral preferences :: Social network analysis in practice | Social Network Analysis - The Basics | Scoop.it

Via Jan Schmid
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Networks, Crowds, and Markets: A Book by David Easley and Jon Kleinberg

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Networks, Crowds, and Markets combines different scientific perspectives in its approach to understanding networks and behavior. Drawing on ideas from economics, sociology, computing and information science, and applied mathematics, it describes the emerging field of study that is growing at the interface of all these areas, addressing fundamental questions about how the social, economic, and technological worlds are connected.

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The Future Of Social Networks As Interpreted by 21 Social Media Practitioners | CMO.com

The 5th year of our social network analysis brought to light some interesting trends regarding Social Networking.
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Inferring Personality of Online Gamers by Fusing Multiple-View Predictions - Springer

Inferring Personality of Online Gamers by Fusing Multiple-View Predictions - Springer | Social Network Analysis - The Basics | Scoop.it

Reliable personality prediction can have direct impact on many adaptive systems, such as targeted advertising, interface personalization and content customization. We propose an algorithm to infer a user’s personality profile more reliably by fusing analytical predictions from multiple sources including behavioral traces, textual data, and social networking information. We applied and validated our approach using a real data set obtained from 1,040 World of Warcraft players. Besides behavioral and social networking information, we found that text analysis of character names yields the strongest personality cues.

 

Source: http://bit.ly/PYZryO

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