Vishen works with authors, thinkers, authors and leaders who have pioneered new ways of doing traditional things: parenting, entrepreneurship, spiritual growth, self-development and more. Mindvalley's team of programmers and marketers then work to build the systems to take these ideas mainstream. His goal was to bring his own passion of personal growth to the masses in hopes of creating a better world.
We study the influence of noise on information transmission in the form of packages shipped between nodes of hierarchical networks. Numerical simulations are performed for artificial tree networks, scale-free Ravasz-Barabási networks as well for a real network formed by email addresses of former Enron employees. Two types of noise are considered. One is related to packet dynamics and is responsible for a random part of packets paths. The second one originates from random changes in initial network topology. We find that the information transfer can be enhanced by the noise. The system possesses optimal performance when both kinds of noise are tuned to specific values, this corresponds to the Stochastic Resonance phenomenon. There is a non-trivial synergy present for both noisy components. We found also that hierarchical networks built of nodes of various degrees are more efficient in information transfer than trees with a fixed branching factor.
Noise enhances information transfer in hierarchical networks
Agnieszka Czaplicka, Janusz A. Holyst & Peter M. A. Sloot
As some of you know, I'm a big believer in the concepts behind Clayton Christensen's Innovator's Dilemma, which explain how disruptive innovation almost always takes incumbents by surprise. A few years ago, I even did a two minute...
During consensus decision making, individuals in groups balance personal information (based on their own past experiences) with social information (based on the behavior of other individuals), allowing the group to reach a single collective choice. Previous studies of consensus decision making processes have focused on the informational aspects of behavioral choice, assuming that individuals make choices based solely on their likelihood of being beneficial (e.g., rewarded). However, decisions by both humans and nonhuman animals systematically violate such expectations. Furthermore, the typical experimental paradigm of assessing binary decisions, those between two mutually exclusive options, confounds two aspects common to most group decisions: minimizing uncertainty (through the use of personal and social information) and maintaining group cohesion (for example, to reduce predation risk). Here we experimentally disassociate cohesion-based decisions from information-based decisions using a three-choice paradigm and demonstrate that both factors are crucial to understanding the collective decision making of schooling fish.
Both information and social cohesion determine collective decisions in animal groups Noam Miller, Simon Garnier, Andrew T. Hartnett, and Iain D. Couzin
Will Richardson's book and blogs were essential reading when I first started using social media in teaching. -- Howard
"Finnish educator and author Pasi Sahlberg writing in yesterday’s Washington Post: Many reformers believe that the quality of education improves when schools compete against one another. For cooperation to happen, we need to be participating transparently with the idea that others can build upon what we share, reshare it, curate it, connect it or whatever else. In that vein, it’s why we need to promote a “network literacy” that supports our ability to find, analyze, synthesize and share information and knowledge in safe, effective and ethical ways. In my discussions and snap polling of education audiences, I can tell you we’re nowhere near a tipping point with that in schools."