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Rescooped by Jean-Michel Livowsky from Influence et contagion
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How Videos Go #Viral part | / #metrics #SNA #contagion

How Videos Go #Viral part | / #metrics #SNA #contagion | Intelligence | Scoop.it

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luiy's curator insight, September 26, 2014 9:38 AM

This is a big post with a lot of variables and data. So let’s recap on what we’re saying overall. How do viral videos spread socially?

We can see there are 2 broad patterns of content diffusion. One model we call “spike” – the sudden ‘explosion’ of sharing activity – and the other we call “growth”, where popularity is a slower and steadier grower.  The metrics we’ve discussed, such as velocity, variability and social currency, provide a way to identify which kind of virality you’re looking:

 

 

http://www.facegroup.com/blog/how-videos-go-viral.html

Rescooped by Jean-Michel Livowsky from e-Xploration
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Israel, Gaza, #War & Data | #SNA #socialmedia

Israel, Gaza, #War & Data | #SNA #socialmedia | Intelligence | Scoop.it
social networks and the art of personalizing propaganda

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luiy's curator insight, August 9, 2014 6:11 AM

It’s hard to shake away the utterly depressing feeling that comes with news coverage these days. IDF and Hamas are at it again, a vicious cycle of violence, but this time it feels much more intense. While war rages on the ground in Gaza and across Israeli skies, there’s an all-out information war unraveling in social networked spaces.

 

Not only is there much more media produced, but it is coming at us at a faster pace, from many more sources. As we construct our online profiles based on what we already know, what we’re interested in, and what we’re recommended, social networks are perfectly designed to reinforce our existing beliefs. Personalized spaces, optimized for engagement, prioritize content that is likely to generate more traffic; the more we click, share, like, the higher engagement tracked on the service. Content that makes us uncomfortable, is filtered out.

Rescooped by Jean-Michel Livowsky from e-Xploration
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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.

Rescooped by Jean-Michel Livowsky from e-Xploration
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Oycib ::: Collective Intelligence. "Kaan". Network Visualisation.

Oycib ::: Collective Intelligence. "Kaan". Network Visualisation. | Intelligence | Scoop.it

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luiy's curator insight, May 2, 2013 8:52 AM

Beginning with the origins, Oycib means in Mayan language "the place of honey". In this projet, Oycib is an e-Research infrastructure for the Collective Intelligence Analysis.

 

With Oycib infrastructure we propose an analysis model, based in the digital practices and collaboration profiles for the development of Social Learning and the Context Awareness in the Collective Intelligence process.

 

The infrastructure design and the profiles proposed here, are based on historical studies about social organization glyphs in Mayan culture made by Montgomery (2002) and Calvin (2012).

 

Initially we worked with four collaboration profiles: the "Itzaat", the "Pitziil", the "Ayuxul" and the "Sajal" (profiles), but we can find others depending of the organization context. Thus, it's important to mention that each profile is found based on the e-Xploración model and they are the qualitative and quantitative interpretation of the collaborative practices. In this way, we propose methods based on Social Network Analysis for the learning and knowledge management.

 

Thus, the network in Oycib is called "Kaan" (sky or network in Mayan Lenguage). In the "Kaan" we present the visualization of the subjects and objects, such as persons, forums, blogs, files, groups and all the interactions among them. Additionally, each profile and their interactions is presented.

 

... you can interact with "Kaan" here.

 

http://viz.oycib.org/net_all_3/network/index.html

Rescooped by Jean-Michel Livowsky from e-Xploration
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2014 #Ebola Outbreak: Worldwide Air Transportation and Relative Import #Risk | #dataviz

2014 #Ebola Outbreak: Worldwide Air Transportation and Relative Import #Risk | #dataviz | Intelligence | Scoop.it

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luiy's curator insight, August 10, 2014 4:04 PM
The Nodes: Nodes in the network represent the largest 1227 airports in the worldwide air-transportation network (WAN) comprising approx. 95% of the entire global air traffic. The dataset used in our computational models contains more than 4000 airports, a total passenger flux of more than 3 billion passengers/year. Node size quantifies the capacity (size) of an airport. Colors correspond to geographical regions. Hover over a node for an additional info pop-up.
Rescooped by Jean-Michel Livowsky from e-Xploration
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Visualizing Categorical Data as Flows with Alluvial Diagrams | #dataviz #methods #tools

Visualizing Categorical Data as Flows with Alluvial Diagrams | #dataviz #methods #tools | Intelligence | Scoop.it

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luiy's curator insight, June 7, 2014 12:04 PM

Alluvial diagrams are a type of flow diagram that  have traditionally been used to visually show changes in network structures over time. Density Design has included Alluvial Diagrams in their RAW online visualization tool and explored its use to show “relations between dimensions of categorical data.”

 

RAW is such a wonderfully easy tool to use that I wanted to explore the Alluvial diagram functionality with a few different data sets to see how the visualizations would come out.

 

Rescooped by Jean-Michel Livowsky from e-Xploration
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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