By Aki-Hiro Sato
Applied data-centric social sciences goal to advance either technique and sensible functions of varied fields of social sciences and companies with wealthy info. in particular, within the social sciences, an unlimited quantity of information on human actions can be necessary for realizing collective human nature. during this booklet, the writer introduces a number of mathematical strategies for dealing with a tremendous quantity of knowledge and analysing collective human behaviour. The booklet is made from data-oriented research, with mathematical tools and expressions used for facing information for a number of particular difficulties. the elemental philosophy underlying the ebook is that either mathematical and actual options are decided through the needs of information research. This philosophy is proven all through exemplar stories of a number of fields in socio-economic structures. From a data-centric viewpoint, the writer proposes an idea that could switch people’s minds and lead them to commence considering from the root of information. a number of ambitions underlie the chapters of the booklet. the 1st is to explain mathematical and statistical equipment for info research, and towards that finish the writer delineates equipment with genuine facts in each one bankruptcy. the second one is to discover a cyber-physical hyperlink among facts and data-generating mechanisms, as info are regularly supplied through a few type of data-generating strategy within the genuine international. The 3rd aim is to supply an impetus for the innovations and technique 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
We can deal with these rare events: by using catalogued data of specific events described in historical documents and synthesising data from different sources, we can approach to Unknown Unknown. 3 Models for Socioeconomic-Technological Systems We want to examine models of socioeconomic-technological systems in this section. Models of social systems appear to have many variables. Currently, our society consists of many individuals who possess properties (knowledge, relationship, goods, information and preferences).
Subsequently, these newly activated neighbours may activate some of their own neighbours, who may, in turn, trigger more activations still, and so on, generating a sequence of activations, called “cascade” . Granovetter suggests several examples of binary choice situations where threshold models could be applied; • • • • • • • • Diffusion of innovations Rumours and diseases Strikes Voting Educational attainment Leaving social occasions Migration Experimental social psychology All the examples above can be expressed as a threshold model with the initial distribution of thresholds and the ultimate number or proportion of elements making each of the two decisions.
6 corresponds to the capacity that is needed when we analyse the data with the defined properties. In this sense, we also need to carefully consider methods of acquisition, analysis, curation, storage and usage of the vast amount of data in our computer system. Big data analytics is data-centric research based on this vast amount of data. Generally speaking, the gigabytes level of text data cannot be analysed by using personal computers. Presumably we need to use parallel computation techniques or distributed architecture in order to analyse this level of data.
Applied Data-Centric Social Sciences: Concepts, Data, Computation, and Theory by Aki-Hiro Sato