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Studies Confirm the Power of Visuals in eLearning

Studies Confirm the Power of Visuals in eLearning | Network science education | Scoop.it
We are now in the age of visual information where visual content plays a role in every part of life. As 65 percent of the population are visual learn

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40 Maps That Explain The Internet

40 Maps That Explain The Internet | Network science education | Scoop.it

The internet increasingly pervades our lives, delivering information to us no matter where we are. It takes a complex system of cables, servers, towers, and other infrastructure, developed over decades, to allow us to stay in touch with our friends and family so effortlessly. Here are 40 maps that will help you better understand the internet — where it came from, how it works, and how it's used by people around the world.


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Edgar Mata's curator insight, August 21, 8:50 PM

Here are 40 maps that will help you better understand the internet

Deb Nystrom, REVELN's curator insight, August 22, 10:00 AM
Here's why the Internet works, "... because open standards allow every network to connect to every other network.  (So far...)   This is what makes it possible for anyone to create content, offer services, and sell products without requiring permission from a central authority.

It levels the playing field for everyone and it’s the reason why we have a rich diversity of applications and services that many of us enjoy today.

Source:  Internetsociety.org    ~  D 

Well Connected Mom's curator insight, August 22, 5:04 PM

Curious how the Internet started?  These maps of servers show the progression.

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The Making of “History of #Rock in 100 Songs” | #dataviz #sna #gephi

The Making of “History of #Rock in 100 Songs” | #dataviz #sna #gephi | Network science education | Scoop.it
[This is a guest post by Susie Liu*, about the visualization project “History of Rock in 100 Songs”]
 
 
Figure 1. History of Rock in 100 Songs screenshot, live site here
 
The world of Rock ‘n’ Roll has always been very confusing to me.

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luiy's curator insight, June 11, 3:39 AM

When I found the Guardian’s list of 100 songs representative of rock music, I was inspired to use skills from my day job, creating data visualizations, to learn more about Rock ‘n’ Roll. With John as a domain expert to sanity check my work and a quick Google search of music APIs, we were ready to begin.

 

The original Guardian dataset only had the song title, artist, and release year of the song. I looked up more band information, such as its members and lifetime, using Last.fm and more song information, such as length and energy, using Echo Nest.

 

Exploring the data began with asking questions. I started simple. How do these songs appear over time? How do the timelines of the bands overlap with each other? I begin all of my visual brainstorming on paper like in Figure 2. It allows me to quickly see ideas. Plus, there is no hesitation to nix bad ideas because I’ve only invested a few minutes in the concept.

 

- See more at: http://visualoop.com/21745/the-making-of-history-of-rock-in-100-songs#sthash.9JUvGyoV.dpuf

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Video: Beehive study highlights how leaderless complex systems manage to get ... - Phys.Org

Video: Beehive study highlights how leaderless complex systems manage to get ... - Phys.Org | Network science education | Scoop.it
Video: Beehive study highlights how leaderless complex systems manage to get ...
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Cluster your Twitter Data with #R and #k-means | #datascience

Cluster your Twitter Data with #R and #k-means | #datascience | Network science education | Scoop.it
Hello everbody! Today I want to show you how you can get deeper insights into your Twitter followers with the help of R
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The art and science of systems change

The art and science of systems change | Network science education | Scoop.it
“To make underlying systems more sustainable, it takes both tools and compassion, says SecondMuse's Joe Hsueh”
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Eli Levine's curator insight, May 25, 8:20 AM

I've always said, it's a question of including as many aspects of a society as possible and getting them on board to bring about the changes that are needed within an organization or society.  There's then the issue of competition against mutually exclusive ideas and beliefs that isn't addressed in this article.  Inevitably, one set of ideas triumphs over another set of ideas as a result of their perceived (but not necessarily actual) superiority relative to the other idea.

 

But, again, the root of success seems to be interconnectivity with the appropriate nodes of the network.

 

Enjoy!

 

Think about it.

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Mathematics - Free E-Books

Mathematics - Free E-Books | Network science education | Scoop.it
“Mathematics - list of freely downloadable books at E-Books Directory”
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Adrian Pope's curator insight, May 4, 7:35 AM

Some books related to mathematics for teaching.

Adrian Pope's curator insight, May 4, 7:36 AM

mathematics for teaching text available

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Online Professional Learning Communities Connect Teachers to High-Impact Collaborative Learning - Microsoft in Education blog

Online Professional Learning Communities Connect Teachers to High-Impact Collaborative Learning - Microsoft in Education blog | Network science education | Scoop.it
“Office 365 for Education - helpful technical information gathered by the U.S. Education Cloud Specialist Team Unit, consisting of Solution Specialists and Cloud Architects. The posts pertain to Office 365 for Education, Live@edu, and other education cloud topics.”
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The remarkable self-organization of ants

The remarkable self-organization of ants | Network science education | Scoop.it
Knowing the rules behind ant-made structures could help scientists understand how other complex systems emerge in nature
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The Science of Going Viral - The Chronicle of Higher Education

The Science of Going Viral - The Chronicle of Higher Education | Network science education | Scoop.it
Mr. Fowler's team identified the “central” group through an old social-science concept known as the “friendship paradox.” The Twitter version of it goes like this: Take a random person on the social network, and count his or her ...
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#A.I.L - artists in laboratories, episode 58: Burak Arikan - we make money not art | #dataviz #art

#A.I.L - artists in laboratories, episode 58: Burak Arikan - we make money not art | #dataviz #art | Network science education | Scoop.it

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luiy's curator insight, March 26, 3:14 AM

This week i will be talking about beautiful but also politically-revealing data mapping with Burak Arikan, a New York and Istanbul based artist working with complex networks. Burak runs social, economic, and political issues through an abstract machinery, which generates network maps and algorithmic interfaces and draws up predictions that render inherent power relationships visible, thus discussable. Arikan's software, prints, installations, and performances have been featured in numerous exhibitions internationally. Arikan is the founder of Graph Commons, a platform dedicated to providing "network intelligence" for everyone.

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The city as network - Social Physics | #dataviz #UrbanFlows

The city as network - Social Physics | #dataviz #UrbanFlows | Network science education | Scoop.it
Traditionally, cities have been viewed as the sum of their locations – the buildings, monuments, squares and parks that spring to mind when we think of ‘New York’, ‘London’ or ‘Paris’. In The new science of cities (Amazon US| Amazon UK), Michael Batty argues that a more productive approach is to think of cities in terms of …

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Eli Levine's curator insight, March 23, 9:55 AM

And there you have it.

 

The blue prints for understanding empirically a city, a society, a nation.

Think about it.

sandra alvaro's curator insight, March 24, 5:48 AM

Flows are not just the connectors between these important locations. Rather, the locations become important because – at least in part – they’re at the intersections.

Pierre Levy's curator insight, March 24, 6:24 AM

By the way, geographs knew this a long time ago.

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Ancient food webs developed modern structure soon after mass extinction

Ancient food webs developed modern structure soon after mass extinction | Network science education | Scoop.it
Researchers from the Santa Fe Institute and the Smithsonian Institution have pieced together a highly detailed picture of feeding relationships among 700 mammal, bird, reptile, fish, insect, and plant species from a 48 million year old lake and forest ecosystem.

Their analysis of fossilized remains from the Messel deposit near Frankfurt, Germany, provides the most compelling evidence to date that ancient food webs were organized much like modern food webs. Their paper describing the research appears online and open access this week in Proceedings of the Royal Society B: Biological Sciences.


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Eli Levine's curator insight, March 20, 3:37 PM

There is, indeed, not much that is new in this world.

 

One would think that humans would learn to live in relative harmony with nature.


However, I do not think that the brain types of those with real political power (everyone from public to private elites), as well as the brain types of the people in the general pool of society are capable of doing this at this time.

 

Therefore, we are going to kill ourselves off in mass droves.

 

And we probably won't learn our lessons, in spite of the damage that we're going to inflict on ourselves.

 

Think about it.

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The Strength of the Strongest Ties in Collaborative Problem Solving

The Strength of the Strongest Ties in Collaborative Problem Solving | Network science education | Scoop.it
“ Complex problem solving in science, engineering, and business has become a highly collaborative endeavor. Teams of scientists or engineers collaborate on projects using their social networks to gather new ideas and feedback. Here we bridge the literature on team performance and information networks by studying teams' problem solving abilities as a function of both their within-team networks and their members' extended networks. We show that, while an assigned team's performance is strongly correlated with its networks of expressive and instrumental ties, only the strongest ties in both networks have an effect on performance. Both networks of strong ties explain more of the variance than other factors, such as measured or self-evaluated technical competencies, or the personalities of the team members. In fact, the inclusion of the network of strong ties renders these factors non-significant in the statistical analysis. Our results have consequences for the organization of teams of scientists, engineers, and other knowledge workers tackling today's most complex problems.”
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The Most Intricate Grid System in the Universe

The Most Intricate Grid System in the Universe | Network science education | Scoop.it

Imagine taking a map of a city, shredding it into 7,400 pieces, then putting it back together. The first logical step would be to align all of the different functions: landmarks, subway systems and bus routes, residential areas, public arenas, libraries, sports and arts centers.

President Obama calls "the next great American project" one which involves mapping the brain to understand the origins of cognition, perception, and other enigmatic brain activities, which may lead to more effective treatments for conditions such as autism or mood disorders, and could also help veterans suffering from brain injuries.


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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 | Network science education | Scoop.it

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luiy's curator insight, June 7, 9:04 AM

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.

 

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Lincoln #Logarithms: Finding Meaning in Sermons | #dataviz #sna #DH

Lincoln #Logarithms: Finding Meaning in Sermons | #dataviz #sna #DH | Network science education | Scoop.it

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luiy's curator insight, June 2, 1:26 AM

The content and the tools


We explored the power and possibility of four digital tools—MALLET, Voyant, Paper Machines, andViewshare.  MALLET, Paper Machines, and Voyant all examine text.  They show how words are arranged in texts, their frequency, and their proximity. Voyant and Paper Machines also allow users to make visualizations of word patterns. Viewshare allows users to create timelines, maps, and charts of bodies of material. In this project, we wanted to experiment with understanding what these tools, which are in part created to reveal, could and could not show us in a small, but rich corpus.  What we have produced is an exploration of the possibilities and the constraints of these tools as applied to this collection.

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The #CollectiveIntelligence Handbook | #openaccess

The #CollectiveIntelligence Handbook | #openaccess | Network science education | Scoop.it

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luiy's curator insight, May 24, 4:40 AM

Collective intelligence has existed at least as long as humans have, because families, armies, countries, and companies have all--at least sometimes--acted collectively in ways that seem intelligent. But in the last decade or so a new kind of collective intelligence has emerged: groups of people and computers, connected by the Internet, collectively doing intelligent things. In order to understand the possibilities and constraints of these new kinds of intelligence, a new interdisciplinary field is emerging.

 

This book will introduce readers to many disciplinary perspectives on behavior that is bothcollective and intelligent.  By collective, we mean groups of individual actors, including, for example, people, computational agents, and organizations.  By intelligent, we mean that the collective behavior of the group exhibits characteristics such as, for example, perception, learning, judgment, or problem solving.

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SFI Bulletin is LIVE: Spring 2014 issue asks how life got complex

SFI Bulletin is LIVE: Spring 2014 issue asks how life got complex | Network science education | Scoop.it
““How Life Got Complex,” asks why, and how, many biological systems on Earth have evolved to be ever-more complex. http://t.co/dR92Q1SjhX”;
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3 Places To Get Free Full-Text Scientific Studies - Edudemic

3 Places To Get Free Full-Text Scientific Studies - Edudemic | Network science education | Scoop.it
“These days, when you’re asking your students to do research (on just about any topic), it is likely going to be online research, at least at the start. Most materials are easily available online these days, saving students the time and hassle of heading to the library to schlep home with 100 heavy books in …”
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Publication in Nature showcases most comprehensive wiring diagram of the mammalian brain to date | e! Science News

Researchers from the Allen Institute for Brain Science have published the first comprehensive, large-scale data set on how the brain of a mammal is wired, providing a groundbreaking data resource and fresh insights into how the nervous system processes information. Their landmark paper in this week's issue of the journal Nature both describes the publicly available Allen Mouse Brain Connectivity Atlas, and demonstrates the exciting knowledge that can be gleaned from this valuable resource.
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Diary Of An Under 30 CEO: Mixing Business With Pleasure - Ventures Africa

Diary Of An Under 30 CEO: Mixing Business With Pleasure - Ventures Africa | Network science education | Scoop.it
Diary Of An Under 30 CEO: Mixing Business With Pleasure Ventures Africa One of Africa's emerging Cheetahs is 23 years old serial entrepreneur -Douglas Hoernle, the founder of Rethink Education, an online education startup that allows children to...
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Contributions and challenges for network models in cognitive neuroscience

Contributions and challenges for network models in cognitive neuroscience | Network science education | Scoop.it

The confluence of new approaches in recording patterns of brain connectivity and quantitative analytic tools from network science has opened new avenues toward understanding the organization and function of brain networks. Descriptive network models of brain structural and functional connectivity have made several important contributions; for example, in the mapping of putative network hubs and network communities. Building on the importance of anatomical and functional interactions, network models have provided insight into the basic structures and mechanisms that enable integrative neural processes. Network models have also been instrumental in understanding the role of structural brain networks in generating spatially and temporally organized brain activity. Despite these contributions, network models are subject to limitations in methodology and interpretation, and they face many challenges as brain connectivity data sets continue to increase in detail and complexity.

 

Contributions and challenges for network models in cognitive neuroscience
• Olaf Sporns
Nature Neuroscience (2014) http://dx.doi.org/10.1038/nn.3690


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Choosing a Chart

Choosing a Chart | Network science education | Scoop.it

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Intro materials: network analysis software (UCINET, NodeXL, Gephi, Statnet, ERGM, RSiena)

Intro materials: network analysis software (UCINET, NodeXL, Gephi, Statnet, ERGM, RSiena) | Network science education | Scoop.it
Introductory materials, handouts and R scripts for network analysis and visualization.

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