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Thoughts on SNA and online learning

Thoughts on SNA and online learning | Intelligence | Scoop.it
Following the previous post... The structural paradigm of  Social Network Analysis (SNA) with its constitutive theory and methods, began to emerge around the 1930s, applied and influenced by a broa...

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Milena Bobeva's curator insight, March 1, 2014 4:10 AM

Social Network Analysis should be a  paradigm for researching, designing, and evaluating not only online learning, but  the wider phenomenon of Education 3.0

luiy's curator insight, March 1, 2014 7:21 PM

The connections within nodes in a network facilitate exchange of “resources”  which can be influenced by the quantity and quality of the linkages and interactions. Looking at online educational networks through a SNA lens is a way to establish wether the ways in which individuals connect with a particular environment may influence their access to information and knowledge. As Rita Kop states “the Web is portrayed as a democratic network on which peer to peer interaction might lead to a creative explosion and participative culture of activity” (Kop, 2012 p3) but how is this potential being exploited in education? What are the processes beyond this interaction and how can they be used to facilitate students access to information, knowledge and ideas?

 

The potential of social media in forming networks, extending students knowledge and translating this into academic achievement is impacted by a multitude of elements such as individuals’ attitudes (Morrison, 2002), University environment and socialisation processes (Yu et al., 2010). Other mechanisms influencing this process may be the particular educational practices and experiences, the success of connections, the dynamics in which participants negotiate the structure of the network and exchange practices and many others which can not be controlled.

 

This analysis can be enriched by Bordieau’s concept of “social capital”, which introduces a set of dynamics between the social dimension, the identity dimension (habitus) and the individual’s practice. In this system of reciprocal influences it is interesting to look at the transformation processes and effects of elements such as “weak ties”, “brokers”, “latent connections” and “structural holes” in the information flow within a network.

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Google Online Takedown Requests Browser I #dataviz #bigdata

Google Online Takedown Requests Browser I #dataviz #bigdata | Intelligence | Scoop.it
An interactive visual Google Online Takedown Requests browser by Frontwise!

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luiy's curator insight, November 19, 2013 10:06 AM
ABOUT THIS BROWSER

This browser visualizes trends and patterns in Google online takedown requests from copyright owners and governments. It provides a monthly overview of requests and targeted domains or products, ordered by time and volume. Colors indicate if requests were justified, and the degree of copyright infringement of the targets. Extended information about requests and targets can be revealed by hovering or clicking items

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#BigData Investment Map 2014 | #dataviz #SNA via @furukama

#BigData Investment Map 2014 | #dataviz #SNA via @furukama | Intelligence | Scoop.it

by BENEDIKT KOEHLER on 1. FEBRUAR 2014


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luiy's curator insight, February 2, 2014 8:42 AM

Here’s an updated version of our Big Data Investment Map. I’ve collected information about ca. 50 of the most important Big Data startups via the Crunchbase API. The funding rounds were used to create a weighted directed network with investments being the edges between the nodes (investors and/or startups). If there were multiple companies or persons participating in a funding round, I split the sum between all investors.