Bibliometric Analysis of Academic Studies on Social Media Analytics

Zafer Ayaz

Makale detayları

Bibliometric Analysis of Academic Studies on Social Media Analytics

Yazarlar:

Zafer Ayaz

Yayıncı:

Ankara Hacı Bayram Veli University

Ana Başlıklar:

İnternet | Yeni Medya

Dergi:

Yeni Medya Issue 17, pp.174-195

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001335044

pISSN:

2587-1285

Anahtar kelimeler:

Özet:

 Social media has transitioned traditional word-of-mouth communication to digital platforms, resulting in significant changes in communication for individuals and organizations. The large datasets created by social media interactions have become vital resources for researchers. Studies analyzing this data are increasing rapidly, and the role of social media analytics in scientific research is gaining importance. Bibliometric studies have emerged as critical tools for tracking academic trends. This study aims to examine international research published on Social Media Analytics using bibliometric methods, revealing the relationships between these publications. On July 24, 2024, a search in the Scopus database identified 6,541 works related to social media analytics. These works were analyzed based on criteria such as year, country, author, citation, and keyword usage. The study not only visualizes bibliometric characteristics but also deepens the understanding of the relationships between these publications. Analyzing the contexts in which data is used helps identify knowledge gaps in the literature and guide future research. Findings indicate that the first and only publication on social media analytics appeared in 2005, with a rapid increase in studies from 2009 onwards. The U.S. leads in research output, with the Indian Institute of Technology Delhi as the most collaborative institution, Carlos Castillo as the most cited author, and social media as the most researched keyword. Research trends increasingly focus on big data, sentiment analysis, deep learning, and AI, with pandemic-related studies emerging during global crises.

 Social media has transitioned traditional word-of-mouth communication to digital platforms, resulting in significant changes in communication for individuals and organizations. The large datasets created by social media interactions have become vital resources for researchers. Studies analyzing this data are increasing rapidly, and the role of social media analytics in scientific research is gaining importance. Bibliometric studies have emerged as critical tools for tracking academic trends. This study aims to examine international research published on Social Media Analytics using bibliometric methods, revealing the relationships between these publications. On July 24, 2024, a search in the Scopus database identified 6,541 works related to social media analytics. These works were analyzed based on criteria such as year, country, author, citation, and keyword usage. The study not only visualizes bibliometric characteristics but also deepens the understanding of the relationships between these publications. Analyzing the contexts in which data is used helps identify knowledge gaps in the literature and guide future research. Findings indicate that the first and only publication on social media analytics appeared in 2005, with a rapid increase in studies from 2009 onwards. The U.S. leads in research output, with the Indian Institute of Technology Delhi as the most collaborative institution, Carlos Castillo as the most cited author, and social media as the most researched keyword. Research trends increasingly focus on big data, sentiment analysis, deep learning, and AI, with pandemic-related studies emerging during global crises.

 Social media has transitioned traditional word-of-mouth communication to digital platforms, resulting in significant changes in communication for individuals and organizations. The large datasets created by social media interactions have become vital resources for researchers. Studies analyzing this data are increasing rapidly, and the role of social media analytics in scientific research is gaining importance. Bibliometric studies have emerged as critical tools for tracking academic trends. This study aims to examine international research published on Social Media Analytics using bibliometric methods, revealing the relationships between these publications. On July 24, 2024, a search in the Scopus database identified 6,541 works related to social media analytics. These works were analyzed based on criteria such as year, country, author, citation, and keyword usage. The study not only visualizes bibliometric characteristics but also deepens the understanding of the relationships between these publications. Analyzing the contexts in which data is used helps identify knowledge gaps in the literature and guide future research. Findings indicate that the first and only publication on social media analytics appeared in 2005, with a rapid increase in studies from 2009 onwards. The U.S. leads in research output, with the Indian Institute of Technology Delhi as the most collaborative institution, Carlos Castillo as the most cited author, and social media as the most researched keyword. Research trends increasingly focus on big data, sentiment analysis, deep learning, and AI, with pandemic-related studies emerging during global crises.

 Sosyal medya, geleneksel ağızdan ağıza iletişimi dijital platformlara taşıyarak bireyler ve kurumların iletişim biçimlerinde büyük değişikliklere yol açmıştır. Sosyal medya kullanıcılarının etkileşimlerinden oluşan büyük veri kümeleri, araştırmacılar için önemli birer kaynak haline gelmiştir. Bu verilerin analizine yönelik çalışmalar hızla artmakta ve sosyal medya analitiği verilerinin bilimsel araştırmalara katkısı giderek önem kazanmaktadır. Bibliyometrik çalışmalar da bu bağlamda akademik trendleri izlemek için kritik bir araç olarak öne çıkmaktadır. Bu çalışmanın amacı, Sosyal Medya Analitiği üzerine yayımlanan uluslararası araştırmaların bibliyometrik yöntemle incelenmesi ve bu yayınlar arasındaki ilişkilerin somut bir şekilde ortaya konulmasıdır. 24 Temmuz 2024te Scopus veri tabanında yapılan bir arama sonucunda, sosyal medya analitiğiyle ilgili 6.541 esere ulaşılmıştır. Bu eserler, yıl, ülke, yazar, atıf ve anahtar kelime kullanımı gibi kriterlere göre analiz edilmiştir. Çalışmada sadece bibliyometrik özelliklerin görselleştirilmesi değil, aynı zamanda bu yayınlar arasındaki ilişkilerin derinlemesine anlaşılmasına da olanak sağlanmıştır. Verilerin kullanıldığı bağlamların analizi, literatürdeki bilgi boşluklarını belirlemekte ve gelecekteki çalışmalara yol göstermektedir. Çalışma bulgularına göre sosyal medya analitiği konusunda yılının ilk ve tek yayını 2005 yılında görülmüş olup 2009 yılından itibaren çalışmaların sayısı artan bir ivmeyle çoğalmıştır. Ayrıca en çok çalışmanın yapıldığı ülke ABD, en çok iş birliği yapılan kurum Indian Institute of Technology Delhi, en çok atıf alan yazar Carlos Castillo, en çok araştırma yapılan anahtar kelimenin social media sosyal medya olduğu tespit edilmiştir. Yıllara göre araştırma trendinin büyük veri, duygu analizi, derin makine öğrenmesi, yapay zekâ konularına doğru yoğunlaştığı, küresel pandeminin yaşandığı dönemlerde pandemi özelinde araştırmaların yapıldığı sonucuna varılmıştır.

Makale detayları

Bibliometric Analysis of Academic Studies on Social Media Analytics

Yazarlar:

Zafer Ayaz

Yayıncı:

Ankara Hacı Bayram Veli University

Ana Başlıklar:

İnternet | Yeni Medya

Dergi:

Yeni Medya Issue 17, pp.174-195

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001335044

pISSN:

2587-1285

Social Media

Social Media Analytics

Bibliometric Analysis

Research Trends

ScopusSosyal Medya

Sosyal Medya Analitiği

Bibliyometrik Analiz

Araştırma Trendleri

Scopus

Sayı

Makale detayları

Yazarlar: Zafer Ayaz

Yayıncı: Ankara Hacı Bayram Veli University

Ana Başlıklar: İnternet | Yeni Medya

Dergi: Yeni Medya Issue 17, pp.174-195

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001335044

pISSN: 2587-1285

Sayı

Yazarlar:

Zafer Ayaz

Yayıncı:

Ankara Hacı Bayram Veli University

Ana Başlıklar:

İnternet | Yeni Medya

Dergi:

Yeni Medya Issue 17, pp.174-195

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001335044

pISSN:

2587-1285