From the original article by Tom George on his "Internet Billboards". Here are some interesting excerpts from the post about content curation. "After having spent the better part of four years curating content from renowned bloggers, journalists and authors as well as building a platform here on Internet Billboards, which has evolved into a wonderful community of content curator’s.
Here is my definition of content curation. A content curator is someone who finds, organizes, presents and shares valuable information (content) in many forms, on a specific topic, in a way that provides special context and or a unique engagement with his or her readers. In actuality when done correctly, over time it positions the curator as an expert in his or her respective field and defines their reputation as a thought leader.
A good curator will mix curation with his or her own original content, to give interpretations for the express purpose of allowing others to form their own conclusions. ... Why curation and crowdsourcing will and should become more important to you. I will give you ten reasons. 1. There is just too much content; 2. Social Sites Are Full Of Spam; 3. Privacy concerns with big data; 4. Limiting risk and using many minds; 5. Technology must assist us and help us not hinder us; 6. People Will recognize the need to build meaningful relationships; 7. Information will flow freely; 8. Trust and authority will be the new currency; 9. Curation helps you establish relationships with thought leaders; 10. Crowd Sourcing can make things possible..."
"Twitter is one of a growing breed of part-technological, part-social communication media that require some skills to use productively. Sure, Twitter is banal and trivial, full of self-promotion and outright spam. So is the Internet. The difference between seeing Twitter as a waste of time or as a powerful new community amplifier depends entirely on how you look at it – on knowing how to look at it.
"When I started requiring digital journalism students to learn how to use Twitter, I didn’t have the list of journalistic uses for Twitter that I have compiled by now. So I logged onto the service and broadcast a request. “I have a classroom full of graduate students in journalism who don’t know who to follow. Does anybody have a suggestion?” Within ten minutes, we had a list of journalists to follow, including one who was boarding Air Force One at that moment, joining the White House press corps accompanying the President to Africa."
Concordo inteiramente com um comentário de Howard Rheingold: "The difference between seeing Twitter as a waste of time or as a powerful new community amplifier depends entirely on how you look at it – on knowing how to look at it." Mais isto...
Recognizing direct relationships between variables connected in a network is a pervasive problem in biological, social and information sciences as correlation-based networks contain numerous indirect relationships. Here we present a general method for inferring direct effects from an observed correlation matrix containing both direct and indirect effects. We formulate the problem as the inverse of network convolution, and introduce an algorithm that removes the combined effect of all indirect paths of arbitrary length in a closed-form solution by exploiting eigen-decomposition and infinite-series sums. We demonstrate the effectiveness of our approach in several network applications: distinguishing direct targets in gene expression regulatory networks; recognizing directly interacting amino-acid residues for protein structure prediction from sequence alignments; and distinguishing strong collaborations in co-authorship social networks using connectivity information alone. In addition to its theoretical impact as a foundational graph theoretic tool, our results suggest network deconvolution is widely applicable for computing direct dependencies in network science across diverse disciplines.
Network deconvolution as a general method to distinguish direct dependencies in networks Soheil Feizi, Daniel Marbach, Muriel Médard & Manolis Kellis
This book, edited and authored by a closely collaborating network of social scientists and psychologists, recasts typical research topics in these fields into the language of nonlinear, dynamic and complex systems. The aim is to provide scientists with different backgrounds - physics, applied mathematics and computer sciences - with the opportunity to apply the tools of their trade to an altogether new range of possible applications. At the same time, this book will serve as a first reference for a new generation of social scientists and psychologists wishing to familiarize themselves with the new methodology and the "thinking in complexity".
“Curation is an important skill to develop, especially in an environment in which more and more organizations shift towards self-directed learning for their workers. Now is the time for learning and performance professionals to develop this new skill set.”
"The nature of Amazons business is changing to reflect a new media landscape. What does Bezos see in the future of publishing that the rest of us dont"
"Purpose-built distribution networks for different kinds of content are beginning to solidify into infrastructure, just as e-commerce did 10 years ago. And if we’ve learned anything about Bezos, it’s that he loves to own his own infrastructure and leverage it into new kinds of business we can’t even imagine right now."