http://www.informationisbeautiful.net/visualizations/a-taxonomy-of-ideas/
Search engine data visualisations I’ve decided I need a single place to put all of the search engine data visuals that I’ve been working on. The visuals are made up of thousands of actual queries put into search engines by UK users over the course of a year. This gives us an idea of ‘search demand’ which can/may/should equal actual, offline demand for a topic. Feel free to republish however please link to this blog and also to James Webb who helped to create them.
Official Paul Laffoley Blog {*style:<b> </b>*} Lithograph, Edition of 75 Image Size: 16 x 23 in. Paper Size: 17 7/8 x 24 7/8 in. Visit: Ideas Illustrated » Blog Archive » Visualizing English Word Origins I have been reading a book on the development of the English language recently and I’ve become fascinated with the idea of word etymology — the study of words and their origins. It’s no secret that English is a great borrower of foreign words but I’m not enough of an expert to really understand what that means for my day-to-day use of the language. Simply reading about word history didn’t help me, so I decided that I really needed to see some examples. Using Douglas Harper’s online dictionary of etymology, I paired up words from various passages I found online with entries in the dictionary. For each word, I pulled out the first listed language of origin and then re-constructed the text with some additional HTML infrastructure. The HTML would allow me to associate each word (or word fragment) with a color, title, and hyperlink to a definition.
The Delphi Method: Techniques and Applications The mind is but a barren soil; a soil which is soon exhausted, and will produce no crop, or only one, unless it be continually fertilized and enriched with foreign matter. -Sir Joshua Reynolds Reality is a name we give our collections of tacit assumptions about what is.
English Letter Frequency Counts: Mayzner Revisited or ETAOIN SRHLDCU Now we show the letter frequencies by position within word. That is, the frequencies for just the first letter in each word, just the second letter, and so on. We also show frequencies for positions relative to the end of the word: "-1" means the last letter, "-2" means the second to last, and so on. We can see that the frequencies vary quite a bit; for example, "e" is uncommon as the first letter (4 times less frequent than elsewhere); similarly "n" is 3 times less common as the first letter than it is overall. The letter "e" makes a comeback as the most common last letter (and also very common at 3rd and 5th letter places). The most common first letter is "t" and the most common second letter is "o".
Real-time Delphi Real-time Delphi (RTD) is an advanced form of the Delphi method. The advanced method “is a consultative process that uses computer technology” [1] to increase efficiency of the Delphi process. Definition and idea[edit] Delphi method The Delphi method (/ˈdɛlfaɪ/ DEL-fy) is a structured communication technique, originally developed as a systematic, interactive forecasting method which relies on a panel of experts.[1][2][3][4] The experts answer questionnaires in two or more rounds. After each round, a facilitator provides an anonymous summary of the experts’ forecasts from the previous round as well as the reasons they provided for their judgments. Thus, experts are encouraged to revise their earlier answers in light of the replies of other members of their panel.
The Most Popular Words in the Most Viral Headlines 6.3K Flares Filament.io 6.3K Flares × There is no one way to create viral content. So many different variables go into a viral post—timing, emotion, engagement, and so many others that you cannot control. Algorithm Distinguishes Memes from Ordinary Information — The Physics arXiv Blog Memes are the cultural equivalent of genes: units that transfer ideas or practices from one human to another by means of imitation. In recent years, network scientists have become increasingly interested in how memes spread. This kind of work has led to important insights into the nature of news cycles, into information avalanches on social networks and into the role that networks themselves play in this spreading process. But what exactly makes a meme and distinguishes it from other forms of information is not well understood.
Googlewhack A Googlewhack is a type of contest for finding a Google search query consisting of exactly two words without quotation marks, that returns exactly one hit. A Googlewhack must consist of two actual words found in a dictionary. A Googlewhack is considered legitimate if both of the searched-for words appear in the result page. Published googlewhacks are short-lived, since when published to a web site, the new number of hits will become at least two, one to the original hit found, and one to the publishing site.[1]
Googlefight! by Avraham Roos Googlefight.com At first sight, googlefight seems like a total waste of time and (because of the fighting) even completely uneducational. But think again. Our adventures in culturomics Peter Aldhous, Jim Giles and MacGregor Campbell, reporters (Image: Michael St. Maur Sheil/Corbis) Here in New Scientist's San Francisco bureau we can't resist an invitation to participate in an entirely new field of research. So after reading about the first analyses of word usage over time in Google's mammoth database of 5 million digitised books, we were excited to learn that the search giant has provided a neat tool, the Books Ngram Viewer, to perform your own "culturomic" studies.
Culturomics research uses quarter-century of media coverage to forecast human behavior "Culturomics" is an emerging field of study into human culture that relies on the collection and analysis of large amounts of data. A previous culturomic research effort used Google's culturomic tool to examine a dataset made up of the text of about 5.2 million books to quantify cultural trends across seven languages and three centuries. Now a new research project has used a supercomputer to examine a dataset made up of a quarter-century of worldwide news coverage to forecast and visualize human behavior. Using the tone and location of news coverage, the research was able to retroactively predict the recent Arab Spring and successfully estimate the final location of Osama Bin Laden to within 200 km (124 miles).