A list of puns related to "Interactive Visualization"
Its been more than a month since I introduced blockrank to the world, and I have been hard at work! I am excited to share some key updates with you all.
Blockrank (https://block-rank.io) provides interactive network visualizations of the algorand ecosystem. These interactive dashboards allow ASA teams to better understand their user base and the flow of wealth within their ASA ecosystem. Crucially, they also allow ASA creators and teams to identify botnets and airdrop farming scammers and safeguard their airdrops so none of their tokens falls into malicious hands.
We have a public app (linked above) that is available to all and demonstrates some of the features that are available. It also highlights some of our beta-phase partners, which include some of the premier ASA communities (i.e. AlgoMeow, Akita Inu).
We also offer private dashboards to ASA creators to allow them to prune their airdrop lists in private (which is extremely important to avoid exploiters getting wise to the fact that they have been blacklisted). These dashboards also come with additional features that support bot hunting. Check out the demo video below to get a better idea (sound on).
https://reddit.com/link/s0pd12/video/ews37lm29wa81/player
We are just getting started! Our roadmap includes some extremely features, including integrated airdrop functionality. If you have questions about BlockRank, feedback for the developers (me mostly) or would like to inquire about our services, please feel free to email me at davis@block-rank.io. My DMs are also open on reddit.
I am so excited to share with you all the beta release of the BlockRank webapp! You can find all the information about BlockRank on the new BlockRank section of our website - https://www.commiecoinasa.com/blockrank/
If you just want to go straight to the app - https://kembaburner.shinyapps.io/BlockRank/
BlockRank works by downloading all transactions associated with a given ASA and structuring them as a graph (this kind of graph - https://en.wikipedia.org/wiki/Graph_theory)). It is then relatively easy to tag wallets with loads of connections to suspicious wallets. You can also just take a look at all wallets with at least one connection (as above) and manually see suspicious clusters for further inspection. Future iterations will rely on graph search algorithms to enable users to search individual wallets and turn up related wallets.
That last use case is actually where the name BlockRank comes from! It is a nod to googleβs PageRank algorithm which powered the first ever (at least first really good one) internet search engine.
I clipped a demo video to show how it works! take a look -
https://reddit.com/link/rfiu4u/video/rjsgrbid0c581/player
Reach out to me on discord - https://discord.gg/Hh3jcyCzy9
I have a ton of ideas about how to improve / add features to this webapp. Refer to the new BlockRank Roadmap for some idea of the future of BlockRank - https://www.commiecoinasa.com/blockrank/roadmap/
I'm looking for an Interactive Network Visualization Software (like the title says). I am an Infrastructure Architect for a blended Network that combines IT/OT, on-prem, cloud, and a fiber infrastructure that spans over 4000 miles of fiber in multiple states. We have over 1500 devices on our various networks and OT enterprise.
What I'm looking is something truly Interactive. We user various softwares for IPAM, NMS, threat security and SIEM, but have no single Network map that could display everything. Has anyone seen or have used anything that can display a Network, in an Interactive way?
By Interactive I mean something like I can click on a switch and see all VLANs, and select a VLAN to see if it traverses all switches end to end. Or select a trunk port and see all VLANs on that trunk. Or select a device and see the path it takes through the network to see what has access to see that device.
Does this software even exist? Any experience or ideas would be appreciated.
Hey gang,
I'm a longtime coding teacher, and wanted to write some lessons so that people with no knowledge could get ramped up, and see the purpose of coding.
I decided to battle test everything teaching it to my retired mother (who has no coding background). It led to me teaching her by pulling data from the web and building data visualizations in Python from the very start. All fourteen interactive lessons are here -- or you can go through the lessons below -- hope it helps!
And if you really want to see the videos, here they are :)PS We'll be teaching another [part-time data en
... keep reading on reddit β‘There's nothing like declaring an early victory (ie, the second you see a drop in the stats). Data watching is a long game in this pandemic. Stay tuned.
I created a searchable network graph visualization of Moon transactions between Redditors!
Whether or not you're a Moon addict, a data visualization enthusiast, or just someone who likes to ooh and aah at pretty colors and lines, this is for you!
MoonGraph is hosted here on my Github page. In it, you are able to search by username and discover Redditor moon transactions, along with stats about number of incoming and outgoing transactions. Data goes up to 7/22/21. Each node represents a user and each edge represents a set of transactions between two users. You can view the source code here.
For those interested in the caveats/disclaimers and how the data was collected, keep reading!
Howβd you get this data?
How accurate are the results?
Future Improvements?
After the last post got removed for title formatting issues, I've decided to repost it after one user suggested it in the comments.
I made a shortest path visualizer for Day 15. You can enter any map and it will provide the lowest cost along with the path highlighted in your map.
I am so excited to share with you all the beta release of the BlockRank webapp! You can find all the information about BlockRank on the new BlockRank section of our website - https://www.commiecoinasa.com/blockrank/
If you just want to go straight to the app - https://kembaburner.shinyapps.io/BlockRank/
BlockRank works by downloading all transactions associated with a given ASA and structuring them as a graph (this kind of graph - https://en.wikipedia.org/wiki/Graph_theory)). It is then relatively easy to tag wallets with loads of connections to suspicious wallets. You can also just take a look at all wallets with at least one connection (as above) and manually see suspicious clusters for further inspection. Future iterations will rely on graph search algorithms to enable users to search individual wallets and turn up related wallets.
That last use case is actually where the name BlockRank comes from! It is a nod to googleβs PageRank algorithm which powered the first ever (at least first really good one) internet search engine.
The creator clipped a demo video to show how it works! take a look -
https://reddit.com/link/rfiu4u/video/rjsgrbid0c581/player
Reach out to us on discord
The creator has a ton of ideas about how to improve / add features to this webapp. Refer to the new BlockRank Roadmap for some idea of the future of BlockRank - https://www.commiecoinasa.com/blockrank/roadmap/
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