Hesaplamalı Sosyal Bilimlerden Ne Anlamalıyız? Bir Literatür İncelemesi

Year 2024, Volume: 1 Issue: 2, 190 - 209, 17.07.2024

Hasan Tutar Esra Ayaz

Abstract

Hesaplamalı Sosyal Bilimler, karmaşık sosyal olguları analiz etmek ve anlamak için hesaplamalı yöntemlerden ve veri odaklı yaklaşımlardan yararlanan disiplinler arası bir alanı temsil etmektedir. Bu literatür incelemesi, Hesaplamalı Sosyal Bilimler alanındaki önemli gelişmeler, metodolojiler ve uygulamalar hakkında genel bir bakış sağlamayı amaçlamaktadır. Araştırmada başlangıçtan bugüne yayınlanan ve çeşitli akademik veri tabanlarından elde edilen bilimsel makaleler, kitaplar ve araştırma makaleleri üzerinde sistematik bir inceleme gerçekleştirilmiştir. İnceleme, Hesaplamalı Sosyal Bilimlerin ilk aşamalarından olgun bir alana doğru evrimini vurgulamakta ve ajan tabanlı modelleme, ağ analizi, makine öğrenimi ve doğal dil işleme dahil olmak üzere çeşitli hesaplama tekniklerini tartışmaktadır. Kısaca Hesaplamalı Sosyal Bilimler, sosyal bilimler alanının geleneksel yöntemlerini genişletip güçlendirerek sosyal sistemlerin daha iyi bir şekilde anlaşılmasına ve yönetilmesine katkıda bulunan bir disiplin olarak görülmektedir. Hesaplamalı Sosyal Bilimler, karmaşık sosyal sistemler hakkında bir anlayış kazanmak için güçlü bir araç olarak gelişmeye devam etmektedir.

Keywords

Hesaplamalı Sosyal Bilimler, Literatür Taraması, Doğal Dil İşleme, Bilgisayar Bilimleri, Sosyal Fenomenler

Supporting Institution

TUBİTAK

Project Number

122G157

Thanks

Bu makale TÜBİTAK tarafından desteklenen 122G157 numaralı proje kapsamında üretilmiş bir makaledir ve desteğinden dolayı TÜBİTAK’a ve sayın çalışanlarına çok teşekkür ederiz.

What Should We Understand from Computational Social Sciences? A Literature Review

Abstract

Computational Social Science represents an interdisciplinary field that leverages computational methods and data-driven approaches to analyze and understand complex social phenomena. This literature review aims to overview key developments, methodologies, and applications in Computational Social Science. A systematic review of scholarly articles, books, and research papers published since its inception and retrieved from various academic databases was conducted. The review highlights the evolution of Computational Social Science from its early stages to a mature field and discusses various computational techniques, including agent-based modeling, network analysis, machine learning, and natural language processing. In short, Computational Social Science is seen as a discipline that contributes to a better understanding and management of social systems by extending and strengthening the traditional methods of the social sciences. Computational Social Science continues to evolve as a powerful tool for understanding complex social systems.

Keywords

Computational Social Science, Literature Review, Natural Language Processing, Computer Science, Social Phenomena

Project Number

122G157

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