Computational Social Science

COMPUTATIONAL SOCIAL SCIENCE FOR CULTURAL HERITAGE

Computational social science is contributing in many different fields. My presentation abstract has been accepted in a prestigious conference

The Fifth SEEDI Conference: Digitization of cultural and scientific heritage      http://www.digi.ba/?jezik=bos&n=9

Importance of preservation of cultural heritage is growing quickly with the current pace of cultural diffusions. Old cultural habits, ethics, moral values and attitudes are getting shape of new definitions. I will discuss the topic in detail in later posts. My abstract is presented here:

MAASHRA: A Social Network Analysis based Text Mining Framework for Tracing Patterns in Literature

The progress of recent technologies in the different fields of science has made it possible to comprehend the evolutionary trends of cultures in different regions. Today literature can help us to explore the evolution of culture in the age of paper (i.e before digital era). In this paper we discuss a framework which helps to discover patterns in story telling, folklores, myths, and poetry of a region and locating there origins and tracing its spread in that era. Text mining techniques are discussed to extract information from literary content which further uses machine learning techniques for classification under separate concepts. Communities influence other communities which imprints their trends in literature particularly. The proposed framework uses social network analysis tools which incorporate graph theoretic approaches to trace groups of common interest, influential individuals, and spread of concepts in different geo-locations.  

Social network analysis tools use for finally co-relating authors, geo-locations and conceptual evolution.