View allAll Photos Tagged visualization
www.esv.org/blog/2008/01/harrison-visualization/
not a social networking visualization, but this website has many, many other types of visualizations
Visualizing the various features of the SwiftRiver distributed reputation and veracity functionality. The most classic scenario of ‘gaming’, is spam, bots or human individuals who are trying to vote bogus content ‘up’ so it will be weighted higher than other content. Section “A” represents User 1. Section “B” represents the activity of User 2 (our spammer). Section “E” represents the community within this particular Swift instance. Section “F” represents the users of our distributed trust system River ID or the global SwiftRiver economy. Section “C” represents individual content items. Section “D” represents the source that content is coming from.
The thickness of the lines connecting the users to the content and the source, represents how they’ve voted on those particular things. The thickness of the line for User 2 tells us that he’s rating these things very highly. Perhaps they come from his blog, and he wants them at the top! The thickness of the lines from the local community of the SwiftRiver instance as well as the global users tells us that these content sources are suspect. We can see that User 1 (who represents our average, active user) is voting closer to the how the community is voting, in fact even harsher than the community votes both the content and the source (represented by thinner lines).
This dynamic relationship between users and their interactions with content (in contrast to the local and global community) is considered when scoring users, content, and the sources. In this case the person voting against the tide is actually damaging his or her own reputation both locally and globally. However, this isn’t the only thing we consider, otherwise it would encourage conformity which also isn’t good (sometimes the outlier knows something the rest don’t.)
rendered by frontop
-----------------
3d rendering, architectural rendering, architectural visualization ,architectural animation
A graph created with networkx and matplotlib using data from Freebase that shows the influence of programming languages within the object-oriented paradigm.
Find more programming paradigm influence graphs at:
visualizations/programming-language-influence-by-paradigm-gallery
My infographics students are full of great ideas but they do have bad orthography. Is it necessary to have good orthography to make a good ifographic? Could you make a great infographic even if you dont know how to read and write?
Ascent Penthouse
Client: Mr Dung - IAM Architecture
---
@ Long Nguyen & Thu Nguyen
Architecture - Interior Design & 3D Visualization
0979 962 864, Ho Chi Minh City
advlongnguyen@gmail.com
This is a pic of the sun coming around Earth. This is from the ps3 visualization set. I took this while listening to some music. If you have a ps3, hit square until you see the earth visualization set (a couple of times from the default screen) while you are listening to music. It is awesome.
David Cook, Chief Clinical and Operating Officer, Jiahui Health, People’s Republic of China capture during the Session: "Visualizing Disease" at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2017. Copyright by World Economic Forum / Sikarin Fon Thanachaiary
This image visualizes the discovery of asteroids from 1801 to 2000. The Solar System is shown in a logarithmic scale to allow both the main asteroid belt and Kuiper objects to be shown. Asteroids are shown in the position of their perihelion. This makes it easier to separate the various families.
I also plotted the histogram of how many minor planets were discovered each year, the semi-major axis, and excentricity on the right panels. The left panels show the excentricity and inclination as a function of semi-major axis, this is again to show how the various asteroid families were defined based on their orbits.
Data source: www.minorplanetcenter.net/
Youtube visualization: youtu.be/QOdrRX-IScc
This image visualizes the discovery of asteroids from 1801 to 1900. The Solar System is shown in a logarithmic scale to allow both the main asteroid belt and Kuiper objects to be shown. Asteroids are shown in the position of their perihelion. This makes it easier to separate the various families.
I also plotted the histogram of how many minor planets were discovered each year, the semi-major axis, and excentricity on the right panels. The left panels show the excentricity and inclination as a function of semi-major axis, this is again to show how the various asteroid families were defined based on their orbits.
Data source: www.minorplanetcenter.net/
Youtube visualization: youtu.be/QOdrRX-IScc
Cynap Presentation and Collaboration System from WolfVision. Can be used either with or without a connected Visualizer. www.wolfvision.com
Newer, faster supercomputers have allowed scientists to create detailed models of blood flow that help doctors understand what happens at the molecular level and, consequently, how heart and blood diseases can be treated.
Above: A flow of healthy (red) and diseased (blue) blood cells with a Dissipative Particle Dynamics (DPD) method.
Field curvature is an undesirable property of photographic lenses in which the center and borders can't be brought into sharp focus at a single focus setting. Lenses of simple design focus sharply onto a bowl-shaped surface. (See first comment below for an illustration.) They misbehave when we ask them to focus their images on a flat sensor or piece of film.
A lot of smart people, mostly with German and Japanese names, worked from the 1880s to the 1950s to perfect multi-element lenses that could project a sharp image onto a flat surface. We've now come to take flat-field lenses for granted.
I just posted an article at dpreview.com on field curvature with some images that demonstrate how it works. I did the experiments using a Fujian 35mm f/1.7 CCTV lens that exhibits the worst field curvature I've ever encountered. It's a $25 lens that makes dreamy-looking portraits with a sharp center frame. It's a huge bargain if you don't care about the borders being in focus.
Each pixel in "original" size is 5 square miles.
These are all 3015 15-mile-square places in the world where there was a cluster of geotagged pictures in close proximity. The tourist/local split is basically worthless at this scale, where every square is locals at the edges with maybe a dot or two of tourist-dominated area somewhere in it. Tourists may take more total pictures in some areas, but their locations are always more concentrated.
Took this based on a photo posted today by @dibytes where she made note of how focal length can make a difference in what you see. Then, before choosing to post this image, I read a blog entry by @susanvg in which she observes how a photo can be visualized in many ways, and can tell a bit of story. I see different images here. What do you see?
This poster by 300million has been nominated in the Best Poster Award category of the Design Week Awards. It illustrates the intricate, interwoven relationship between businesses and their brands; a.k.a. 'The 300million brand/business poster'; a.k.a. 'The inner mind of a brand geek'.
It is a self-promotional poster that was sent out to prospective and existing clients. The idea was to avoid marketing cliche and instead focus on the creative process. A visual stream of consciousness provided the solution.
www.visualcomplexity.com/vc/project_details.cfm?id=423&am...
This image visualizes the discovery of asteroids from 1801 to 1950. The Solar System is shown in a logarithmic scale to allow both the main asteroid belt and Kuiper objects to be shown. Asteroids are shown in the position of their perihelion. This makes it easier to separate the various families.
I also plotted the histogram of how many minor planets were discovered each year, the semi-major axis, and excentricity on the right panels. The left panels show the excentricity and inclination as a function of semi-major axis, this is again to show how the various asteroid families were defined based on their orbits.
Data source: www.minorplanetcenter.net/
Youtube visualization: youtu.be/QOdrRX-IScc