Posts tagged networks
Because of the increased frequency of interactions, a hive behaves more intelligently, and because of the decreased friction between nodes, a hive can do more than transfer data. It responds and evolves based on that data. The hive isn’t just more networked. It’s more densely populated with organic, living components. Though not obvious, the hive is becoming central to the way we think, behave and interact. The best way to understand emergent human hives is to observe how hives operate in nature.
via https://medium.com/@arjunsethi/the-hive-is-the-new-network–260b432a6720
Our tools change us in fundamental ways. When we learned to cook food, our brains grew in size and made us the humans we are now. As we organized into more complex social groups and now as we’ve built tools that can act on our behalf, we have been and will continue to be changed by these tools. In the meantime, we live in a world that we haven’t completely caught up with. There are four big fractures between our bodies and our lives right now: trust, agency, tempo, and scale.
https://ello.co/dymaxion/post/9F9I4PC5SmlyHW0s6HWwzg
In a “tipping” model, each node in a social network, representing an individual, adopts a property or behavior if a certain number of his incoming neighbors currently exhibit the same. In viral marketing, a key problem is to select an initial “seed” set from the network such that the entire network adopts any behavior given to the seed. Here we introduce a method for quickly finding seed sets that scales to very large networks. Our approach finds a set of nodes that guarantees spreading to the entire network under the tipping model. After experimentally evaluating 31 real-world networks, we found that our approach often finds seed sets that are several orders of magnitude smaller than the population size and outperform nodal centrality measures in most cases.
http://arxiv.org/abs/1309.2963
In this article, I’ll demonstrate a method for modifying a naval telecommunications dish to track moving targets in the sky, such as those in Low Earth Orbit. My dish happily sits in Tennessee, while I direct it using my laptop or cellphone here in Europe. It can also run unattended, tracking moving targets and looking for downlink channels.
http://travisgoodspeed.blogspot.be/2013/07/hillbilly-tracking-of-low-earth-orbit.html
Dronestagram posts images from Google Maps Satellite view to Instagram, and syndicates this feed to Tumblr and Twitter, along with short summaries of each site. You can follow Dronestagram at any of these locations. Most of the records of strikes so far are drawn from the Bureau of Investigative Journalism, which compiles reports from Pakistan, Yemen, and Somalia.
http://booktwo.org/notebook/dronestagram-drones-eye-view/
When it comes to talking about social media, it’s easy to get trapped in utopian and dystopian rhetorics. My goal is not to go down one of these rabbit holes, but rather, to critically interrogate our participation in the culture of fear. Many of you are technologists, designers, pundits, and users. How are we contributing to or combating the culture of fear? What are our responsibilities with regard to the culture of fear? What kinds of things can and should we do?
http://www.danah.org/papers/talks/2012/SXSW2012.html