Network graphs are becoming a popular data visualization mediums. However, it is important to know how to read them in order to reap the most benefits from this kind of representation.
Learning often works through associations. In this article we demonstrate how one can enhance one’s knowledge through the use of network graphs, which provide a good overview and at the same time can reveal the limits and the frontiers that are to be explored.
Mental disorders and various self-imposed psychological obstacles often arise because of the lack of choice. Gregory Bateson wrote about the double-bind origin of schizophrenic behavior where “crazy” reaction is simply a way of transcending a limiting situation, when the person sees no other choice. Various psychotherapeutic practices focus on expanding the range of possibilities for the patient, offering more choices than is currently available. Text network visualization can be a useful tool to aid this process. In this case study we are going to demonstrate how it works.
Excel was a revolutionary product for the time, but in the 21st century columns and rows are not sufficient anymore. What matters today are multidimensional relations between data, which combine a better view of the bigger picture with an attention to detail: networks and graphs.
Text network analysis can be used to gain a good overview of your Evernote or iPhone notes and to increase the precision and speed of information retrieval.
