Communities and Connections: Social Interest Mapping. Copyrighted image Credit: Featureflash 8 | Dreamstime.com 9 By convention, any article which mentions Twitter must be illustrated with a photo of Stephen Fry The themes of this week's TEDxMK event of Communities, Connections & Conversations 10 invite participants to explore how technological and social innovation can strengthen and enrich public life. The rapid growth of online social networks will surely play a part in this, providing as they do a way for individuals to congregate and communicate based on personal, professional, commercial and interest led relationships. To a certain extent, today's dominant social networks may be caricatured (at least on the basis of their origins), in the following ways: Facebook has captured what is often referred to as "the social graph", a network of connections between people who are related, know each other personally, or who come to know each other as friends of friends. 11 communicates information about the OU, @ComActMK.
What Does Your Favourite Social Network Tell us About Your Personality? [INFOGRAPHIC] Twitter: A Day in the Life [INFOGRAPHIC] Woke up, fell out of bed...checked my Twitter right away. Sound familiar? The microblogging network is core to many of our digital lives and content consumption habits. But what really goes on in the Twitter world on a given day? One thing is for sure: What happens on Twitter doesn't stay on Twitter, and people use it to send link flying about the web like mad. Tweeters share photos more than anything else, and pics make up more than a third of all links shared on the social network. Articles make up just 16% of shares, while videos come in at just under 10%.
Predictably, YouTube dominates there, making up six in 10 video posts. These stats come to us via Diffbot's new Page Classifier API. Among other interesting findings? For the fuller picture, check out the infographic below, then let us know in the comments — which stats jump out at you most, and which run counter to your own experience? Social Network Knowledge Construction: Emerging Virtual World Pedagogy (Lisa Dawley) 2. Tools for social networking A social networking site is an online site where a user can create a profile and build apersonal network that connects him or her to other users for a variety of professional orpersonal reasons. Examples of social networking tools include: Social sites: MySpace, Facebook, Twitter.
Photosharing: Flicker, PhotoBucket. Videosharing: YouTube. Professional networking sites: LinkedIn, Ning. Blogs: Blogger.com, Wordpress. Wikis: Wetpaint, PBWiki. Content tagging: MERLOT, SLoog. Virtual worlds: SL, Active Worlds, There, Whyville, Club Penguin, HiPiHi.Blogging, video sharing, wiki-editing, tagging content, or participating in a virtual worldconference are all examples of the unique forms of communication and community buildingactivities associated with the use of social networks.SL launched in 2003, and now has 16 million user accounts. 3. 55 per cent of teens and 82 per cent of undergraduates use social networking; 28 per cent of teens have blogs; et al. j.
Networks, Crowds, and Markets: A Book by David Easley and Jon Kleinberg. In recent years there has been a growing public fascination with the complex "connectedness" of modern society. This connectedness is found in many incarnations: in the rapid growth of the Internet and the Web, in the ease with which global communication now takes place, and in the ability of news and information as well as epidemics and financial crises to spread around the world with surprising speed and intensity.
These are phenomena that involve networks, incentives, and the aggregate behavior of groups of people; they are based on the links that connect us and the ways in which each of our decisions can have subtle consequences for the outcomes of everyone else. Networks, Crowds, and Markets combines different scientific perspectives in its approach to understanding networks and behavior. The book is based on an inter-disciplinary course that we teach at Cornell. The book, like the course, is designed at the introductory undergraduate level with no formal prerequisites. Big Data Week - Francesco D'Orazio "10 reasons why we visualize data" Oboler. Infographics for Librarians, Educators, and Other Cool Geeks. What Facebook Knows. Photographs by Leah Fasten If Facebook were a country, a conceit that founder Mark Zuckerberg has entertained in public, its 900 million members would make it the third largest in the world.
It would far outstrip any regime past or present in how intimately it records the lives of its citizens. Private conversations, family photos, and records of road trips, births, marriages, and deaths all stream into the company’s servers and lodge there. Facebook has collected the most extensive data set ever assembled on human social behavior. Some of your personal information is probably part of it.
And yet, even as Facebook has embedded itself into modern life, it hasn’t actually done that much with what it knows about us. Few Privacy Regulations Inhibit Facebook Laws haven't kept up with the company's ability to mine its users' data. Even as Facebook has embedded itself into modern life, it hasn’t done that much with what it knows about us. Contagious Information Social Engineering Doubling Data. R twotorials. Must-Have Tools for Making Your Own Data Visualizations.
Data visualizations, the more intelligent sibling of infographics, can be a wildly productive way to make sense out of massive amounts of data. The problem is, this power typically comes with a steep learning curve. Now, thanks to a set of tools gathered together by the awesome folks behind Datavisualization.ch, creating data visualizations is a bit more approachable. If you’re looking to get your hands dirty, visit the site and pick any of the tools at random. If you’d like to avoid code at all costs, however, you’ll want to click the “X” on the top right, next to where it says “Code? ,” and the list will automatically re-order itself. From the Datavisualization.ch team: Datavisualization.ch Selected Tools is a collection of tools that we, the people behind Datavisualization.ch, work with on a daily basis and recommend warmly.
Check out the site via the link below and let us know if it helps you jumpstart your own data visualizations. ➤ Datavisualization.ch Selected Tools. Datavisualization.ch Selected Tools. Social Media Monitoring, Analytics and Alerts Dashboard. Episode #5 – How To Learn Data Visualization (with Andy Kirk) | Data Stories.
Hi Folks! We love Andy so much that we decided to keep him with us for another episode (well, actually we hope somebody will eventually pay the ransom). This time we talk about “learning visualization”, which is the perfect topic for him given his experience with his training visualization courses. We received many requests of people who wanted to know how to learn visualization in the past. So, here we are with a more than one hour long podcast with the three of us talking about it. We just hope you’ll find the time to listen to the entire episode. If not, the breakdown below can help you chunking it into a few sessions. Have fun!
Breakdown of the episode Introductory thoughts 00:00:00 Intro, Andy Kirk ( is again our guest 00:01:15 Topic: How to learn visualization 00:01:56 Multidisciplinarity 00:06:31 Reports from teaching practice 00:09:21 Theory and practice – rules vs, free exploration 00:12:24 Do you need to start with a question? Resources and Links. Miso project: how it will help you make your own Guardian-style infographics and data visualisations | News. The Miso project and Cabinet Office spending Here on the Guardian's data team, we've wanted to help you visualise our data and create new viz styles for a long time. And now, thanks to some great work by the Guardian's Interactive team, that dream has moved one step closer. This week, developers Alastair Dant and Alex Graul launched the first part of the Miso project. In this piece, Alex explains it is a Set of Open Source tools designed to make it faster and easier to create high quality interactive and data visualization content You can see more about the project here on its home page - which also has some examples of visualisations created using the code.
It's funded by the Bill & Melinda Gates foundation, as part of its support of our Global Development site - and has been developed with Boston-based Bocoup. If you're not a developer but just interested in data and journalism, you might be a bit baffled by how it can help you, but it does. That's still in the future. More data. Pimpact. A month ago I drafted a post about personal impact metrics, spurred on by Amber Thomas coining the term "Pimpact".
At the time, I'd been playing with totalImpact to compare it with my current repository metrics (and I was underwhelmed), so I had a fiddle with ReaderMeter (equally unimpressed). At that point I stopped and thought I'd let these services settle down a bit before posting about them, but that's now been rendered moot by the excellent summary just published by the SURF foundation: Users, narcissism and control – tracking the impact of scholarly publications in the 21st centuryWhat is the scientific and social impact of my research publications?
This question has been of interest to scientists and scholars since the inception of modern science 400 years ago. But it was hard to answer. The verdict coincides with my own experience - we've got some way to go in this area yet. For sheilmcn. Why Your Infographic Is Evil (And Three Ways To Fix It) Blogger's confession: I can spend a couple of hours interviewing sources and crafting a post several hundred words long and get a couple of thousand hits. Or I can write a pithy introduction, repurpose an infographic that has already appeared on several other sites and most likely was created by a public relations firm or a company looking to push a product and service and end up doubling or tripling those traffic numbers. I've done both. But I'm not necessarily proud of succumbing to the infographic trend. I'm not bashing infographics. Some of my best friends are graphic artists who design infographics that are eye catching, smart and tell stories better than my words ever could.
But this latest visual Internet fad of telling almost every story with a dense infographic is something that I'm hoping will soon be played out. "We are becoming a society of hyperactive, yammering idiots. " - Gail Granger And, barring that, I hope it will at least be done better. Accuracy Counts Bite Size Portions.
Text analysis using function words « Publications | Knowledge Media Institute | The Open University. Tech Report kmi-12-01 Abstract The State of Learning Analytics in 2012: A Review and Future ChallengesTechreport ID: kmi-12-01Date: 2012Author(s): Rebecca Ferguson Learning analytics is a significant area of technology‐enhanced learning that has emerged during the last decade. This review of the field begins with an examination of the technological, educational and political factors that have driven the development of analytics in educational settings. It goes on to chart the emergence of learning analytics, including their origins in the 20th century, the development of data-driven analytics, the rise of learning-focused perspectives and the influence of national economic concerns.
It next focuses on the relationships between learning analytics, educational data mining and academic analytics. Finally, it sets out the current state of learning analytics research, and identifies a series of future challenges. Publication(s): Ferguson, R. (2012). The Open Data Handbook — Open Data Handbook. The Economics Of Emotion. Editor’s Note: This guest post was written by Alan Zorfas, the co-founder and CMO of Motista, a VC-backed consumer intelligence service. Prior to co-founding Motista, Alan spent 25 years in senior roles at advertising agencies like Interpublic Group, DBB, and Earle Palmer Brown.
The most recent commercial for the BMW i3 and i8 concept cars is a great example of something enlightened marketers have known for years: emotion is the key driver behind purchasing decisions. Yet, today, most businesspeople still follow the old adage, “Emotions and business don’t mix,” relying on rational data to drive decisions instead. Doesn’t the advertisement make you want to buy a BMW? Don’t you want to feel cool or look more successful, technology-forward and progressive? Well, that desire is emotion at work. Marketing performance is sub-par across the board, with everything from ad recall to customer loyalty declining. Neuromarketing: Social data: Behavioral analytics: Connection intelligence: Confessions of a ‘Bad’ Teacher. Esteem chartgraph. Four Free Tools For Better Tweeting.
Just because you're not ready to shell out $99 per month to figure out the best times to tweet and post Facebook status updates doesn't mean you can't take better control of understanding your social media output. Indeed, paid Twitter analytics services may offer way more than the average user needs. And despite increasing sophistication of their competitors, some of the best analytics tools remain free for users, either on a trial or permanent basis. Here are four free tools to get you started in better understanding how and when to tweet. TweetLevel: Edelman's "nifty little measurement tool" was indeed nifty when we used it to analyze Twitter hash tags, but not so much when we used it to analyze individual users. A lot of the people we searched got 0.0 as their Twitter influence scores, which just didn't add up when compared to searches we ran on tools.
The descriptive analysis of what those scores meant was text heavy and dense. Photo courtesy of ShutterStock. Social Network Analysis - methods@manchester: research methods in the social sciences. The focus of social network analysis is on the network of relations. A social network consists of a set of actors (also called nodes or vertices) together with a set of edges (also called arcs) that link pairs of actors. Since edges can share actors (e.g., the A.B edge shares an actor with the B.C edge) this creates a connected web that we think of as a network. It is important to realize that actors can be individuals (such as persons in an organization, or monkeys in a troop) or collectivities (such as teams, firms, countries or species). The edges are the realization of a particular relation. Hence the actors could be people and the edges friendship, or advice giving. If the actors are firms then the edges could be trades with or collaborates with.
The edges may also have values associated with them that represent the strength or frequency of the relation. Manchester Experts and Projects Key Additional Information John P Scott. 2000. Staff interested in sna. Announcing the School of Data. The following post is by Rufus Pollock, Director and Co-Founder of the Open Knowledge Foundation, and Philip Schmidt, Co-Founder and Executive Director of Peer 2 Peer University. Today, we’re announcing plans for a School of Data. The School will be a joint venture between the Open Knowledge Foundation and Peer 2 Peer University (P2PU). We also welcome other organizations who would like to participate — see below for more on this.
Data (open or otherwise) needs to be used, and to use data effectively requires certain skills.1 The explosive growth in data, especially open data, in recent years has meant that the demand for data skills — for data “wranglers”2 or “scientists” — has been growing rapidly. Moreover, these skills aren’t just important for banks, supermarkets or the next silicon valley start-up, they are also going to be cruicial in reserach, in journalism, and in civil society organizations (CSOs). What? So What Next? Get Involved! Mining Prod Comments. Linked Data, Texting Mining and R. Some Notes. - phd.
Noshir Contractor - Advancing the Science of Networks in Communities. Home Page. Word Cloud in R. Analyzing the connections between friends and followers. The Numbers Just Keep On Getting Bigger: Social Media And The Internet 2011 [STATISTICS] SocialBro - Real-time analytics for Twitter. Statistical Analysis: an Introduction using R. Study: Why Do People Use Facebook? Cloudstat - Data Analysis in the Cloud. 8 Free Tools to Visualize Information on Twitter. Bellacaledonia.org.uk. Rest in Peace, Social Media ROI Doubts: 2006-2012.
Five Common Statistical Analysis Mistakes - Information Management Newsletters Article. Will Data Collection on User Behavior Be Forced to End Soon? In a networked world, why is the geography of knowledge still uneven? | Global development. Explore the hashtagspace. Google Obtains IBM Technology for Assessing Social Users' Interests. The Best Data Visualization Projects of 2011. Nuts and Bolts of Chart Types. How 2.6m tweets were analysed to understand reaction to the riots | UK news. Twitter Charts. Home Page. Buzzing about network graphs. Quick Guide to Social Network Analysis « SplinterNet. Home. Visualizing Data at the Oxford Internet Institute. What Are Your Plans for All That Student Data? The Archivist By Mix Online.
The Social Graph is Neither (Pinboard Blog) Social media, tipping points and revolutions. Watch SoLAResearch episodes on blip.tv. Learning Analytics: Time Series Visualization. How Storifying Occupy Wall Street Saved The News. Who Is an Average Facebook User? What a Tweet Can Tell You. WeAreCulture24 | How to evaluate success online? Deb Roy: The birth of a word (TED)
Analytics, University 3.0, and the Future of Information Technology (EDUCAUSE Review. Quantifying yourself through personal analytics. Penetrating the Fog: Analytics in Learning and Education (EDUCAUSE Review. Web 2.0 Map Adds Cities of Data (But One of Facebook's Skyscrapers Just Got Taller!) How the World Uses Social Networks [INFOGRAPHIC] Sei-uno-zero-nove » Blog Archive » a batch data processing to visualize social network maps. Mapping Online Publics » Blog Archive » Twitter Research Methods. 10 Infographics and Visualization Apps for iOS. Just published: "Big Data Now" Social network. Introduction to Social Network Methods: Table of Contents.
Social Network Analysis. Introduction to Social Network Methods: Chapter 1: Social Network Data. NodeXL.