The Power of Social Networks: Demonstrated
Lesson created by John Gianino using
Video from TED-Ed YouTube Channel
Companies like Facebook and Google have helped define our connections or “links” and “references” in and to networks. Can our information and knowledge flow more freely from people or "nodes" in a social network or from virtual "hubs" we call companies? Would a phycial hub such as a city be a better network organization structure than a private company?
Samet asks what going viral on the internet really means. Kevin Allocca is YouTube's Trends Manager, and he has deep thoughts about silly web videos. In this talk from TEDYouth, he shares the 4 reasons a video goes viral.
Read John Gianino's idea for: A Non Profit Social Network
"Too big to fail" is a colloquial term in describing certain financial institutions that are so large and so interconnected that their failure is widely held to be disastrous to the economy, which therefore must be supported by government when they face difficulty. It also refers to high wealth and politically well connected individuals who personally are effectively immune from most prosecution. This may explain why Samet asks why financial institutions are "too big to fail."
Samet mentions how viruses can spread from continent to continent in a matter of hours. In our increasingly globalized world, a single infected person can board a plane and spread a virus across continents. Mark Honigsbaum describes the history of pandemics and how that knowledge can help halt future outbreaks.
Networking has adopted many meanings. The theoretical concept, as used in the social and behavioral sciences, may be the most popular undertstanding. It states that a network is a social structure made up of a set of actors (such as individuals or organizations) and the dyadic ties between these actors.
Network theory is an area of computer science and network science and part of graph theory. It has applications in many disciplines, including statistical physics, particle physics, computer science, biology, economics, operations research, and sociology. Network theory concerns itself with the study of graphs as a representation of either symmetric relations or, more generally, of asymmetric relations between discrete objects.