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Epidemics on social networks

Since its first formulations almost a century ago, mathematical models for disease spreading contributed to understand, evaluate and control the epidemic processes [...] In this review, we will introduce the basic concepts of epidemiology, epidemic modeling and networks, to finally provide a brief description of the most relevant results in the field.

 

Epidemics on social networks
Marcelo N. Kuperman

http://arxiv.org/abs/1312.3838


Via Complexity Digest
Marco Valli's insight:

Basics of SIS/SIR models of spreading epidemics, and their relations to social networks.

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António F Fonseca's curator insight, January 9, 2:10 AM

A good review about epidemic models in social networks, SIS, SIR, etc ...

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Using Netvizz & Gephi to Analyze a Facebook Network

Using Netvizz & Gephi to Analyze a Facebook Network | SNA | Scoop.it
This post was originally featured on published on May 6th, 2010. Since the website will be relaunched and the post removed, I have relocated the tutorial to my personal page so that the Gephi commu...
Marco Valli's insight:

A "classic" operative introduction to Social Network Analysis and to Gephi: we all started from that! Just play around!

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Twitter Data Mining Round Up

Twitter Data Mining Round Up | SNA | Scoop.it
Since the release of Mining the Social Web, 2E in late October of last year, I have mostly focused on creating supplemental content that focused on Twitter data. This seemed like a natural starting...
Marco Valli's insight:

Terrific work out here! Mining the Social Web is still growing, taking its readers to know advanced tool and techniques in Data Mining and Social Network Analysis! Stay tuned...I suspect more and more is coming!

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Rescooped by Marco Valli from Social Network Analysis #sna
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Harvesting and Analyzing Tweets | School of Data - Evidence is Power

Harvesting and Analyzing Tweets | School of Data - Evidence is Power | SNA | Scoop.it
Evidence is Power

Via ukituki
Marco Valli's insight:

Feels like a nice and complete tutorial! I'm definitely taking a closer look to ScraperWiki, but I'd like to be able to do the analysis in R/Python...maybe one day!

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Premsankar Chakkingal's curator insight, February 10, 4:43 PM

Tutorial to harvest tweets from Twitter using ScraperWiki and how to analyse them using social network analysis and  Gephi. 

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Graph Viz 101: a blog post series on the visual exploration of graphs - Linkurious. See Graph Databases Easily

Graph Viz 101: a blog post series on the visual exploration of graphs - Linkurious. See Graph Databases Easily | SNA | Scoop.it
We are launching a series of posts to teach the basics of graph visualization, written by Sébastien Heymann in collaboration with Bénédicte Le Grand of Université de Paris 1. At Linkurious we are working on better software to help people visualize graphs easily. Of course writing software is a powerful way to improve our ability …
Marco Valli's insight:

Graph and network visualization with open tools, such as Gephi and Neo4j! Looks great!

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'SOCIAL' NETWORK ANALYSIS OF THE MEDIA ECOLOGY

'SOCIAL' NETWORK ANALYSIS OF THE MEDIA ECOLOGY | SNA | Scoop.it
Mining for Network Data and Content Analysis
Marco Valli's insight:

An impressive sidebar, full of #sna resources & tool ! Nice discovery!

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Rescooped by Marco Valli from e-Xploration
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Twitter Trends Help Researchers Forecast Viral #Memes | #SNA #datascience

Twitter Trends Help Researchers Forecast Viral #Memes | #SNA #datascience | SNA | Scoop.it

What makes a meme— an idea, a phrase, an image—go viral? Researchers, by mining public Twitter data, have found that a meme's “virality” is often evident from the start.

 


Via Claudia Mihai, luiy
Marco Valli's insight:

Social network analysis and mining of the social web, to investigate spreading of ideas, information, viruses. Now we've got all the tools. So just do it and have some fun!

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june holley's curator insight, January 23, 5:31 AM

Some important ideas here for people interested in change.

Premsankar Chakkingal's curator insight, January 30, 5:58 AM

Forecasting the Future Twitter Trends in hashtags

Christian Verstraete's curator insight, February 3, 1:48 AM

Twitter, what happens when things go viral?

Rescooped by Marco Valli from Social Network Analysis - Critique
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The Dark Corners of the Internet | #SNA #dataviz

The Dark Corners of the Internet | #SNA #dataviz | SNA | Scoop.it
The way information spreads through society has been the focus of intense study in recent years. This work has thrown up…

Via luiy, Steven McDermott
Marco Valli's insight:

A different view on information spread and diffusion on a network. A simple model, accounting for the key difference between "viruses" and "information", both from the sender and the receiver point of view.

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luiy's curator insight, October 28, 2013 2:15 AM

The way information spreads through society has been the focus of intense study in recent years. This work has thrown up some dramatic results; it explains why some ideas become viral while others do not, why certain individuals are more influential than others and how best to exploit the properties of a network to spread information most effectively.

 

But today, Chuang Liu at Hangzhou Normal University in China and a few pals have a surprise. They say that when information spreads, there are always blind spots in a network that never receive it. And these unreachable dark corners of the network can be numerous and sizeable.

 

Until now theorists have predicted that information can always spread until it saturates a network to the point where everybody has received it. These predictions are come from models based on our understanding of diseases and the way they percolate through a population. The basic assumption is that information spreads in the same way.

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Cytoscape: An Open Source Platform for Complex Network Analysis and Visualization

Cytoscape: An Open Source Platform for Complex Network Analysis and Visualization | SNA | Scoop.it
Cytoscape Official Web Site
Marco Valli's insight:

Definitely the next tool in my "closely look at" list...

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Network Visualization and social network analysis

Network Visualization and social network analysis | SNA | Scoop.it
Use social network centrality measures, like degree, betweenness and closeness centrality, and kCores, Distance and Shortest path in your network visualization
Marco Valli's insight:

Maybe worth a closer look...

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The Kevin Bacon Game for Sports: Connect Any Two Athletes That Played in the NBA, NFL, or MLB

The Kevin Bacon Game for Sports: Connect Any Two Athletes That Played in the NBA, NFL, or MLB | SNA | Scoop.it
This tool is currently experiencing heavy traffic and may be slow to load. Please bookmark and come back later if the search form is not auto-completing for you.
Marco Valli's insight:

"[...] “Twelve Degrees of Separation” is not quite as catchy as six, but it's still impressive that any two athletes who played for any of 6,000 teams over 140 years can be covered in just a dozen steps [...]"

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David Riesman and the Lonely Crowd of Social Media

David Riesman and the Lonely Crowd of Social Media | SNA | Scoop.it
What can a more-than-60-year-old book tell us about Twitter and Facebook?
Marco Valli's insight:

...another worth reading book?!

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Rescooped by Marco Valli from Digital-News on Scoop.it today
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The Story Behind a Radical New Idea: A Social Network for Academia

The Story Behind a Radical New Idea: A Social Network for Academia | SNA | Scoop.it
Richard Price's Academia.edu has grown exponentially to 4.8 million academic users, many of whom return each month. A former professor writes about its potential.

Via Thomas Faltin
Marco Valli's insight:

I'm not quite sure of the advantages of this social network to the scientific/academia community, but a couple of hints about business in general are quite embraceable, namely "Deal directly with customers and give them lots of additional stuff to buy when they become your customer" and "If it is easy and fun, people will use it"!

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Mapping Twitter Topic Networks: From Polarized Crowds to Community Clusters

Mapping Twitter Topic Networks: From Polarized Crowds to Community Clusters | SNA | Scoop.it
People connect to form groups on Twitter for a variety of purposes. The networks they create have identifiable contours that are shaped by the topic being discussed, the information and influencers driving the conversation, and the social network structures of the participants.
Marco Valli's insight:

A deep analysis of Twitter crowds and conversations, from their building blocks! Interesting! 

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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) | SNA | Scoop.it
Introductory materials, handouts and R scripts for network analysis and visualization.
Marco Valli's insight:

Wow! Every tool you want for Social Network Analysis! Maybe I'll be posting all of them separately, with some notes! 

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SP1: Exploratory Network Analysis with Gephi

ICWSM 2011 Tutorial Sebastien Heymann and Julian Bilcke Gephi is an interactive visualization and exploration software for all kinds of networks and relation...
Marco Valli's insight:

Not just the same-old-story tutorial! A lot of call-to-action inside! Have fun!

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Rescooped by Marco Valli from e-Xploration
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Interpreting the networks of online conversation | #SNA #CollectiveIntelligence

Online conversations (and even offline ones) are, deep down, networks. But how to visualize network data so that they make sense to non-network scientists? Pres

Via luiy
Marco Valli's insight:

As the title suggests...interesting approach! The analysis is clear...I just wonder "how can this be of any help"?

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[1401.4140] Statistics of co-occurring keywords on Twitter

Marco Valli's insight:

Worth a complete reading! A little bit technical, but if you are interested in doing that, you can't dodge the math!

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CornellX: INFO2040x: Networks, Crowds and Markets | edX

CornellX: INFO2040x: Networks, Crowds and Markets | edX | SNA | Scoop.it
Marco Valli's insight:

Just can't help waiting!

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Rescooped by Marco Valli from Papers
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Epidemics on social networks

Since its first formulations almost a century ago, mathematical models for disease spreading contributed to understand, evaluate and control the epidemic processes [...] In this review, we will introduce the basic concepts of epidemiology, epidemic modeling and networks, to finally provide a brief description of the most relevant results in the field.

 

Epidemics on social networks
Marcelo N. Kuperman

http://arxiv.org/abs/1312.3838


Via Complexity Digest
Marco Valli's insight:

Basics of SIS/SIR models of spreading epidemics, and their relations to social networks.

more...
António F Fonseca's curator insight, January 9, 2:10 AM

A good review about epidemic models in social networks, SIS, SIR, etc ...

Scooped by Marco Valli
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Mining the Social Web

Mining the Social Web | SNA | Scoop.it
Transforming Curiosity into Insight
Marco Valli's insight:

A blog, a journey, a challenge. Let's get started!

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What your Facebook friends list reveals about your love life

What your Facebook friends list reveals about your love life | SNA | Scoop.it
Facebook can isolate your spouse or partner based on your network of friends.
Marco Valli's insight:

This is SNA, indeed. I'll definitely have that paper read.

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Social Network Analysis | Data : big, social, o...

Social Network Analysis | Data : big, social, o... | SNA | Scoop.it
Social Network Analysis is a free online class taught by Lada Adamic of University of Michigan (Social Network Analysis | @scoopit http://t.co/YGKYi2FXTZ)...
Marco Valli's insight:

I can't recommend this online course strongly enough! You'll learn fundamentals of Social Network Analysis, how to use Gephi for network visualization and to understand basic social mechanisms (such as virus spread) with Netlogo. Clear and challenging offer by Lada Adamic and University of Michigan.

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The Innovation of Loneliness

What is the connection between Social Networks and Being Lonely? Inspired and Based on the wonderful book by Sherry Turkle - Alone Together. Script, Design &...
Marco Valli's insight:

Interesting reflections...I'll definitely give a shot to the book "Alone together" by Sherry Turkle!

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