Summary
International Symposium on Nonlinear Theory and Its Applications
2016
Session Number:B1L-A
Session:
Number:B1L-A-1
Almighty Google Knows Everything! - Big-data and Network Science
Hawoong Jeong,
pp.-
Publication Date:2016/11/27
Online ISSN:2188-5079
Summary:
Network science is an interdisciplinary academic field which studies complex networks such as engineered networks, information networks, biological networks, and social networks etc. This field has received a major boost caused by the availability of huge network data resources on the Internet. The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and information visualization from computer science, and social structure analysis from sociology to understand the complex systems, the problem to be solved in 21st century. Yet, another research field gaining huge attention nowadays is about big-data. Big-data is defined as ``high-volume, high-velocity, and/or high-variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization.'' by Gartner, Inc. This field of research has huge potential for practical applications but it also promises new discovery in science. However, these big-data should be combined and analyzed together to be useful, and in this respect, network science will shed a light on analyzing these big-data in more combined way. In this presentation, I will briefly review what we can do by combining big-data, especially using Google and network science together to study various complex systems such as social network between people, biological networks, and prediction of science and technology trends \& even presidential election results etc.