Fostering Cyber-Physical Social Systems through an Ontological Approach to Personality Classification Based on Social Media Posts.

Alexandra Cernian,Nicoleta Vasile,Ioan Stefan Sacala

doi:10.3390/s21196611

Alexandra Cernian, Nicoleta Vasile + Show 1 more

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https://doi.org/10.3390/s21196611

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Abstract

The exponential increase in social networks has led to emergent convergence of cyber-physical systems (CPS) and social computing, accelerating the creation of smart communities and smart organizations and enabling the concept of cyber-physical social systems. Social media platforms have made a significant contribution to what we call human behavior modeling. This paper presents a novel approach to developing a users’ segmentation tool for the Romanian language, based on the four DISC personality types, based on social media statement analysis. We propose and design the ontological modeling approach of the specific vocabulary for each personality and its mapping with text from posts on social networks. This research proposal adds significant value both in terms of scientific and technological contributions (by developing semantic technologies and tools), as well as in terms of business, social and economic impact (by supporting the investigation of smart communities in the context of cyber-physical social systems). For the validation of the model developed we used a dataset of almost 2000 posts retrieved from 10 social medial accounts (Facebook and Twitter) and we have obtained an accuracy of over 90% in identifying the personality profile of the users.

Highlights

Social media platforms have become a substantial element of the present and have made a significant contribution to what we call human behavior modeling, as our lives focus on sharing opinions, thoughts and information with those around us through these platforms
We address a semantic classification of individuals based on the DISC model, whose abbreviation comes from the four personality types it encompasses: Dominant, Influential, Conscious and Stable
We propose and design an ontological approach for the data model of the personality types according to DISC

Summary

Introduction

The exponential increase in social networks has led to emergent convergence of cyber-physical systems (CPS) and social computing, accelerating the creation of smart communities and smart organizations and enabling the concept of cyber-physical social systems [1] This will set new standards for the interactions and cooperation between people, objects and organizations that interact and cooperate with each other, while leveraging innovative applications and services that will improve quality of life and work. Social media platforms have become a substantial element of the present and have made a significant contribution to what we call human behavior modeling, as our lives focus on sharing opinions, thoughts and information with those around us through these platforms These activities are stored as digital traces and can provide an essential perspective on the lives of individuals, including details that are supposed to be private and personal. They can facilitate the analysis, identification of patterns and outlining conclusions about who we are, what we Accepted: 30 September 2021

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