Human dynamics can refer to a branch of complex systems research in statistical physics or to a way of understanding and describing how people process information. Human Dynamics as Personality Dynamics: refers to a body of work that identifies fundamental distinctions in the way people naturally process derived from more than thirty-four years of original, ongoing research begun in 1979 by Dr. Sandra Seagal and her associates. Early research into these fundamental distinctions in people emerged as result of a discovery related to the human voice; namely three frequencies that corresponded to a high, middle and low frequency. These three frequencies-- the mental (objective), emotional (relational), and physical (practical), capacities of a person are termed, principles. Each personality dynamic is characterized by fundamentally different inner processes in the way they inherently learn, assimilate information, relate, communicate, approach tasks, problem solve, contribute to others, respond to stress and trauma, and maintain health and wellness.
An individual's personality dynamic remains constant throughout his or her life span, and each personality dynamic has unique requirements for personal growth and development. Of great significance is the fact that the personality dynamics appear to be so foundational they can be seen the world over, identified in babies as young as six months, and exist independent of age, culture, race or gender.
It is important to note that each personality dynamic is of equal value and every personality dynamic has an unbounded capacity for growth. However, the way in which the members of each personality dynamic function is completely different.
Human Dynamics as a branch of statistical physics: Its main goal is to understand human behavior using methods originally developed in statistical physics. Research in this area started to gain momentum in 2005 after the publication of A.-L. Barabási's seminal paper The origin of bursts and heavy tails in human dynamics. that introduced a queuing model that was alleged to be capable of explaining the long tailed distribution of inter event times that naturally occur in human activity.
This paper spurred a burst of activity in this new area leading to not only further theoretical development of the Barabasi model, its experimental verification in several different activities and the beginning of interest in using proxy tools, such as web server logs. , cell phone records and even the rate at which registration to a major international conference occurs and the distance and rate people around the globe commute from home to work.
In recent years there has been a growing appetite for access to new data sources that might prove useful in quantifying and understanding human behavior on a collective scale.
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- Report of the Defense Science Board Task Force on Understanding Human Dynamics [dead link]
- Human Dynamics at Notre Dame