well-formed.eigenfactor.org : Visualizing information flow in science
http://well-formed.eigenfactor.org/

Interactive visualizations based on the Eigenfactor™ Metrics and hierarchical clustering to explore emerging patterns in citation networks. A cooperation between the Eigenfactor Project (data analysis) and Moritz Stefaner (visualization).

Interactive visualizations based on the Eigenfactor™ Metrics and hierarchical clustering to explore emerging patterns in citation networks.

Links to some sites that may help us make the world better

100 social network per gente che vuole cambiare il mondo

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Identify - Firefox entension | Madgex Lab - http://lab.madgex.com/identify/

dentify is a Firefox extension that combines identities across various social network/media sites and provides you with a profile about an individual. Simply navigate to the profile page or a blog of an individual you are interested in and on Windows press Alt i or on the Mac press Ctrl i.

Growing your social network

What follows are ten successful network growing techniques and the 12 inspiring stories of the people who made them happen.

News of Twitter's low user retention rate is hardly shocking, and those of us who've stuck with it aren't likely to miss those who don't.

"But eventually, for most of us anyway, it dawns on us that Twitter is a lot more than a worldwide stream of trivial, self-promotional text bombs. And when that happens, we begin to see the beauty in Twitter's simple, terse messaging system. Used in conjunction with a good client app like TweetDeck, Twitter becomes an active massively multi-user conversation to rival any other social medium. " Depends on the kind of conversation you want, I guess; I'm still mainly in the "don't get it" camp.

The point of Twitter? Or just another twit?

Pretty much on point.

Good list.

looks like an interesting categorization

danah maps three models of social networks: 1. Sociological "personal" networks 2. Behavioral social networks 3. Publicly articulated social networks

Have Facebook, Myspace, YouTube and LinkedIn accounts and want to feature them all on your website? Social Follow has created one happy place for all your social profiles to hang out and get along. Social Following is the action of following someone through all of their social accounts. The Social Follow button gives people an easy way to Social Follow you through all your social accounts, either personally or for your business. Take the tour or create your free account by clicking the "Get it Now!" button. Then create and customize your button. It's a simple 3 step process.

crea un bottone dove sono linkati tutti gli account di social networking

Create a Follow Me Button | All social networks in one button

from BScullin

some links to education sites

A listing of social networks used in educational environments or for educational purposes. Please add to this list (alphabetical by category and within categories).

Visualizing Millions of Iran Tweets - computational history of news using twitter

At its peak, a search for "Iran" on Twitter generated over 100,000 tweets per day and over 8,000 tweets per hour. The plot just below shows the growth in volume of information in the number of tweets per hour. How does an Internet junkie, news organization, or political operative monitor rapidly evolving real-time events, from the crucial details to the bigger picture? More importantly, how can a data stream be turned into real-time action, reaching the people who need it, when they need it, and in a form they can easily digest?

Article describes effort aimed at more sophistcicated analysis of twitter trends. Author is co-founder of Infoharmoni - startup building knowledge interfaces for real-time data sets.

How to algorithmically discover and deploy novel social structures is perhaps the billion, or trillion, dollar question. With Twitter, the data and API are in place. And if the history of computation is any guide, once programming a system becomes possible, progressing from a hack to an application to a platform is only a matter of time.

'...how can a data stream be turned into real-time action, reaching the people who need it, when they need it, and in a form they can easily digest? At the most abstract level, history and computation are the same thing: the evolution of systems over time. Twitter has several remarkable properties that allow us to finally leverage this correspondence in tangible ways. The simplicity of its data, the openness of its system, and its extreme time resolution make it possible for us to detect atoms of history, those moments when something is triggered and society is reconfigured ever so slightly. Simply tracking the volume of various phrases gives us a sense of what is happening on the street, literally and figuratively. But that signal is but a shadow of a far more complex and intricate reality, an interwoven web of individuals and actions. -- Disruptive events lead to information elites.'

tools

data sets, graphically displayed, overly complex, IMO

What we do know is that more measurements need to be made, spread out over the next two to five years. According to Lieberman, the only way to predict how a social network will evolve is to construct an artificial one and track the flow of ideas within it. What is the likelihood of people forwarding on items that they receive in a social network such as Facebook (news items, links, video clips)? What is the likelihood of people responding to messages, or re-tweeting other people's tweets on Twitter? "The idea we need to explore is this: what is the likelihood that a particular stimulus within a social network leads to a particular response?" says Lieberman. "In my opinion, as we get better at measuring what happens within social networks, I predict a lot more organised marketing efforts on social networks as well as systematic influence campaigns."

What we do know is that more measurements need to be made, spread out over the next two to five years. According to Lieberman, the only way to predict how a social network will evolve is to construct an artificial one and track the flow of ideas within it. What is the likelihood of people forwarding on items that they receive in a social network such as Facebook (news items, links, video clips)? What is the likelihood of people responding to messages, or re-tweeting other people's tweets on Twitter? "The idea we need to explore is this: what is the likelihood that a particular stimulus within a social network leads to a particular response?" says Lieberman. "In my opinion, as we get better at measuring what happens within social networks, I predict a lot more organised marketing efforts on social networks as well as systematic influence campaigns."

"Laura Parker: What can evolutionary graph theory teach us about the spread of ideas on social networks such as Facebook and Twitter?"

The evolving face of social networks Laura Parker: What can evolutionary graph theory teach us about the spread of ideas on social networks such as Facebook and Twitter?

from the site: Article about Harvard graduate student Erez Lieberman, whose evolutionary graph theory is encouraging people to think about social networks in a different way: as an evolving population.

network developing and graph theory

"Clusters of happy and unhappy people are visible in the network, and the relationship between people’s happiness extends up to three degrees of separation (for example, to the friends of one’s friends’ friends). People who are surrounded by many happy people and those who are central in the network are more likely to become happy in the future. Longitudinal statistical models suggest that clusters of happiness result from the spread of happiness and not just a tendency for people to associate with similar individuals. A friend who lives within a mile (about 1.6 km) and who becomes happy increases the probability that a person is happy by 25% (95% confidence interval 1% to 57%). Similar effects are seen in coresident spouses (8%, 0.2% to 16%), siblings who live within a mile (14%, 1% to 28%), and next door neighbours (34%, 7% to 70%). Effects are not seen between coworkers. The effect decays with time and with geographical separation."

What are the wages of relationship inflation? Three cancers eating away at the vitality of today's web. First, attention isn't allocated efficiently; people discover less what they value than what everyone else likes, right this second. Second, people invest in low-quality content. Farmville ain't exactly Casablanca. Third, and most damaging, is the ongoing weakening of the Internet as a force for good. Not only is Farmville not Casablanca, it's not Kiva either. One of the seminal examples of the promise of social media, Kiva allocates micro-credit more meaningfully. By contrast, Farmville is largely socially useless. It doesn't make kids tangibly better off; it just makes advertisers better off.

The Social Media Bubble http://j.mp/apBH1F

introducing the WHUFFY :-)

Christakis: "Creo que formamos redes sociales porque los beneficios de una vida conectada son superiores a los costos. Si siempre soy violento contigo o te doy información errónea o te pongo triste o te infecto con gérmenes mortales tú cortarías los lazos conmigo y la red se desintegraría."

In this post, Drew Conway (a PhD Candidate at New York University, studying networks) and I will walk you through a guide that we hope may be of use to others trying to find their way through network theor