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"A tiny number of ideas can go a long way, as we've seen. And the Internet makes that more and more likely. What's happening is that we might, in fact, be at a time in our history where we're being domesticated by these great big societal things, such as Facebook and the Internet. We're being domesticated by them, because fewer and fewer and fewer of us have to be innovators to get by. And so, in the cold calculus of evolution by natural selection, at no greater time in history than ever before, copiers are probably doing better than innovators. Because innovation is extraordinarily hard. My worry is that we could be moving in that direction, towards becoming more and more sort of docile copiers. MARK D. PAGEL is a Fellow of the Royal Society and Professor of Evolutionary Biology; Head of the Evolution Laboratory at the University of Reading; Author Oxford Encyclopaedia of Evolution; co-author of The Comparative Method in Evolutionary Biology. His forthcoming book is Wired for Culture: Origins of the Human Social Mind."

This one came about because I was searching for a data set on horror films (don't ask) and ended up with one describing the links between philosophers. To cut a long story very short I've extracted the information in the influenced by section for every philosopher on Wikipedia and used it to construct a network which I've then visualised using gephi It's an easy process to repeat. It could be done for any area within Wikipedia where the information forms a network. I chose philosophy because firstly the influences section is very well maintained and secondly I know a little bit about it. At the bottom of this post I've described how I got there.

Our interactive people's history of the internet brings together your stories, alongside our own research and video interviews with key figures

"I have been asked recently to write an article, somewhat along the lines of this one but longer, and with a somewhat different angle, asking a little bit different questions: What makes a science blog? Who were the first science bloggers and how long ago? How many science blogs are there? How does one differentiate between science blogs and pseudo-science, non-science and nonsense blogs? The goal of the article is to try to delineate what is and what isn't a science blog, what are the overlaps between the Venn diagram of science blogging and some other circles, and what out of all that material should be archived and preserved forever under the heading of "Science Blogging"."

Wikipedia stands as an undeniable success in online participation and collaboration. However, previous attempts at studying collaboration within Wikipedia have focused on simple metrics like rigor (i.e., the number of revisions in an article's revision history) and diversity (i.e., the number of authors that have contributed to a given article) or have made generalizations about collaboration within Wikipedia based upon the content validity of a few select articles. By looking more closely at metrics associated with each extant Wikipedia article (N=3,427,236) along with all revisions (N=225,226,370), this study attempts to understand what collaboration within Wikipedia actually looks like under the surface. Findings suggest that typical Wikipedia articles are not rigorous, in a collaborative sense, and do not reflect much diversity in the construction of content and macro-structural writing, leading to the conclusion that most articles in Wikipedia are not reflective of the collaborative efforts of the community but, rather, represent the work of relatively few contributors.

"[Good ideas] come from crowds, they come from networks. You know we have this clichéd idea of the lone genius having the eureka moment. Slow hunch: John Snow, who discovered how cholera was spread, had no 'Eureka' moment "But in fact when you go back and you look at the history of innovation it turns out that so often there is this quiet collaborative process that goes on, either in people building on other peoples' ideas, but also in borrowing ideas, or tools or approaches to problems. "The ultimate idea comes from this remixing of various different components. There still are smart people and there still are people that have moments where they see the world differently in a flash. "But for the most part it's a slower and more networked process than we give them credit for."

You can learn a lot about the world from Wikipedia, sometimes without reading the articles. Kalev Leetaru, a researcher at the University of Illinois, has been looking at the capacious volunteer-written encyclopedia as a Big Data resource, concentrating on the connections between cities around the globe over time. To understand these connections, he focuses on the type of language used to talk about a particular place, to see whether the writers have a generally positive or negative sentiment toward the place at that time.