Johan Lambert Trudo Maria Bollen is a scientist investigating complex systems and networks, the relation between social media and a variety of socio-economic phenomena such as the financial markets, public health, and social well-being, as well as Science of Science with a focus on impact metrics derived from usage data. He presently works as associate professor at the Indiana University School of Informatics of Indiana University Bloomington and a fellow at the SparcS Institute of Wageningen University and Research Centre in the Netherlands. He is best known for his work on scholarly impact metrics, measuring public well-being from large-scale social media data, and correlating Twitter mood to stock market prices. He has taught courses on data mining, information retrieval, and digital libraries. His research has been funded by The Andrew W. Mellon Foundation, National Science Foundation, Library of Congress, National Aeronautics and Space Administration, and the Los Alamos National Laboratory.
≈ 29 minutes
If society is viewed as a superorganism, communication networks play the role of its brain. This metaphor is developed into a model for the design of a more intelligent global network. The World Wide Web, through its distributed hypermedia architecture, functions as an “associative memory”, which may “learn” by the strengthening of frequently used links. Software agents, exploring the Web through spreading activation, function as problem-solving “thoughts”. Users are integrated into this “super-brain” through direct machine interfaces and the reciprocal exchange of knowledge between individual and Web. (Published in Cybernetics and Systems ’96, p. 917–922.)