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Rescooped by june holley from Influence et contagion!

Structural #Patterns of the Occupy Movement on Facebook | #socialchange #SNA

Structural #Patterns of the Occupy Movement on Facebook | #socialchange #SNA | networks and network weaving |

In this work we study a peculiar example of social organization on Facebook: the Occupy Movement -- i.e., an international protest movement against social and economic inequality organized online at a city level. We consider 179 US Facebook public pages during the time period between September 2011 and February 2013. The dataset includes 618K active users and 753K posts that received about 5.2M likes and 1.1M comments. By labeling user according to their interaction patterns on pages -- e.g., a user is considered to be polarized if she has at least the 95% of her likes on a specific page -- we find that activities are not locally coordinated by geographically close pages, but are driven by pages linked to major US cities that act as hubs within the various groups. Such a pattern is verified even by extracting the backbone structure -- i.e., filtering statistically relevant weight heterogeneities -- for both the pages-reshares and the pages-common users networks.


Structural Patterns of the Occupy Movement on Facebook
Michela Del Vicario, Qian Zhang, Alessandro Bessi, Fabiana Zollo, Antonio Scala, Guido Caldarelli, Walter Quattrociocchi

Via Complexity Digest, luiy
luiy's curator insight, January 30, 3:51 AM
Data Description The dataset represents a complete screenshot of the Occupy Movement in the period immediately following the outbreak of the protest on September 17th, 2011 in the Zuccotti Park of New York. The dataset covers all the posts until the end of February 2013, at the time when all the major protests were no more active. After the Zuccotti occupation, in fact, an October full of similar occupational events followed, leading to an international protest movement that extended itself until the end of 2012, when the movement was principally an online collective protest.
Rescooped by june holley from Influence et contagion!

How a Social Network Analysis ( #SNA ) can help #leadership development programs | #health

How a Social Network Analysis ( #SNA ) can help #leadership development programs | #health | networks and network weaving |
Submitted by Deborah Meehan on Tue, 04/29/2014 - 15:17 Over the past several months the Leadership Learning Community has had the opportunity to partner with the Health Foundation for Western and Central New York to conduct a Social Network Analysis of their Health Leadership Fellows ...

Via luiy
luiy's curator insight, May 1, 2014 8:10 PM

How we went about the project: 


LLC contracted with Ken Vance Borland, Executive Director of the Conservation Planning Institute because of his experience with SNA software and mapping.  He also understands the ‘so what’ of producing maps which is to help people in the network learn how to use the information provided in the maps to make their network stronger.  Together we developed a survey that went out to the first four cohorts. An advisory group of Health Leadership Fellows tested the survey, gave us feedback on the questions and helped mobilize other fellows from their cohort to complete the survey. 


The fellows taking the survey were provided the names of everyone taking the survey and asked to check names of other fellows with whom they had developed a new relationship, shared resources and information and collaborated with on health related projects.   In addition, survey respondents were asked a number of demographic questions about where they worked, their cohort, the issues they focused on in their work, and their professions.  These questions made it possible not only to produce maps of who was collaborating but to also see how people were connected across their regions or their cohorts.  To get good and reliable data from an SNA it’s important to have at least a 75% participation rate.  The Health Leadership Fellows program has a very impressive 89% response rate.