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SOCIAL NETWORK ANALYSIS DALAM PENGGUNAAN TAGAR #BOYCOTT SEBAGAI DAMPAK KONFLIK Salam, Muhammad Fachrul; Khairunnisa, Namirah; Sucipto, Kiky Resky Ramadhani
Creative Research Management Journal Vol 7 No 2 (2024): December
Publisher : Universitas Prof. Dr. Hazairin SH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32663/hwm58750

Abstract

This study analyzes the #BoycottMcDonalds hashtag network on Twitter social media using Social Network Analysis (SNA) method to identify influential actors and the level of interaction that occurs in the network using centrality, density, and modularity metrics. Of the 2,468 tweets obtained through crawling Twitter data using the Twitter API, after the data preparation stage (pre-processing) there are only 810 tweets that are ready to be analyzed in Gephi. Determining influential actors in the #BoycottMcDonalds hashtag network is calculated using centrality metrics, namely degree centrality, closeness centrality, betweenness centrality, and eigenvector centrality. The analysis results show that the irishpopeye account occupies the highest position in out-degree with a weight of 43 and in closeness centrality with a weight of 1.0. The second influental account is the mcdonalds account with the highest eigenvector centrality weight of 1.0 and the third influential account is the drloupis account with a fairly high eigenvector centrality and degree centrality value. As for the level of the interaction that occurs in the network, based on the modularity metric value obtained of 0.934 and density of 0.001 which indicates that the level of interaction in the #BoycottMcDonalds network is low.
The Effect of Capital Structure and Company Size on Earnings Growth in Food and Beverage Companies Listed on the Indonesia Stock Exchange (IDX) Khairunnisa, Namirah; Nurfadillah, Mursidah; Saputra, Praja Hadi
Neraca Keuangan : Jurnal Ilmiah Akuntansi dan Keuangan Vol. 20 No. 2 (2025): AGUSTUS
Publisher : Fakultas Ekonomi dan Bisnis Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/neraca.v20i2.20732

Abstract

This consider points to analyze the impact of capital structure and company measure on benefit development in nourishment and refreshment segment companies recorded on the Indonesia Stock Trade (IDX) for the 2019-2023 period. The strategy utilized could be a quantitative approach with different straight relapse examination strategies. The inquire about test comprised of 25 companies chosen through purposive testing. The comes about appeared that both somewhat and at the same time, capital structure and company estimate had no noteworthy impact on profit development. This finding demonstrates that profit development is more affected by other components exterior the factors examined.