By Aki-Hiro Sato
Applied data-centric social sciences goal to advance either technique and useful functions of assorted fields of social sciences and companies with wealthy information. in particular, within the social sciences, an enormous volume of information on human actions might be worthwhile for figuring out collective human nature. during this ebook, the writer introduces numerous mathematical strategies for dealing with an immense quantity of knowledge and analysing collective human behaviour. The publication is made from data-oriented research, with mathematical equipment and expressions used for facing information for numerous particular difficulties. the basic philosophy underlying the booklet is that either mathematical and actual innovations are made up our minds through the needs of information research. This philosophy is proven all through exemplar reviews of a number of fields in socio-economic platforms. From a data-centric standpoint, the writer proposes an idea that can swap people’s minds and lead them to commence pondering from the foundation of knowledge. numerous ambitions underlie the chapters of the ebook. the 1st is to explain mathematical and statistical equipment for facts research, and towards that finish the writer delineates tools with real information in each one bankruptcy. the second one is to discover a cyber-physical hyperlink among info and data-generating mechanisms, as info are continually supplied by way of a few form of data-generating technique within the actual international. The 3rd aim is to supply an impetus for the strategies and method set forth during this booklet to be utilized to socio-economic systems.
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Additional info for Applied Data-Centric Social Sciences: Concepts, Data, Computation, and Theory
Unknown” is the most mysterious room in that our unconscious or subconscious part is seen by neither ourselves nor others. Suppose that we ourselves correspond to the data, and that others correspond to models. Using the Johari House, we can construct four faces consisting of two dimensional concepts of Model and Data. 7 shows four rooms; Known Known (KK), Known Unknown (KU), Unknown Known (UK), and Unknown Unknown (UU). (KK) Known Known (Model and Data): This is observed in problems where we have a well-tested model and much data.
The formal definition of database schema is a set of formulae (sentences) called integrity constraints, which are imposed on a database. Normally, a conceptual schema provides meanings of symbols in the real world. 2 Example of ISO 3166-1 Country name Alpha-2 Alpha-3 Numeric Australia Canada China Germany Japan Republic of Korea Netherlands Poland Singapore Switzerland United Kingdom United States AU CA CN DE JP KR NL PL SG CH GB US AUS CAN CHN DEU JPN KOR NLD POL SGP CHE GBR USA 036 124 156 276 392 410 528 616 702 756 826 840 Three types of country codes are defined To avoid confusion among different coding systems, standards of codes have already been defined.
4 Gb if a loss of memory is assumed. If the amount of data is greater than this estimate of memory capacity, then we cannot memorise all the data even over an entire life. Clearly, almost all the data that we deal with in our current, advanced-information society is far beyond our cognitive capacity. All we can do is to construct a system to handle the large amount of data exceeding our human ability. Recently, this type of data is often called “big data”. The definition of big data is still under discussion, but the most famous definition is constructed from the three perspectives of data volume, data velocity and data variety (3V).