Social Network Analysis: a Competition in Indonesia’s Fastest Growing Fintech

Abstract

This study aimed to analyze how effective the use of social media was to maximize recognition and sales. On social media, users had tried to reveal in­formation they already knew about financial technology startup businesses. User Generated Content (UGC) information, which was a track record left by users on social media, can be used as a mapping for users who communicate on social media. This study itself had used this phenomenon to measure the performance of companies (through brands) that were popular on social media, namely Gopay and DANA, in an effort to measure a person's awareness and interest. The method used was Social Network Analysis (SNA). This qualitative research aimed to describe the results of a phenomenon that were occurs. The results of this study indicated that DANA had advantages in the community and it was easy for users to communicate because there were few accounts that must be passed in conveying information. Meanwhile, Gopay had the advantage of having a large number of users and being have many relationships between users.

Analisis Jaringan Sosial Pengguna Twitter Dalam Skema Penyediaan Laptop Bagi Toko Komputer

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Social Media Interaction of Foreign Users in Getir of Turkey's Second Unicorn: Twitter Sentiment Analysis

“…Predicting which start-ups will ultimately succeed is critical for venture capitalists and governments worldwide, significantly when the benefits can multiply exponentially (Singhal et al, 2022). For this purpose, analyzing Twitter using the Social Network Analysis (SAA) approach can determine how fast the startup can grow and how well it can be recognized by the public or the market (Arifianto and Veritia, 2022). SAA uses dictionary-based, machine-learning-based, and hybrid approaches to sentiment analysis (Thakkar and Patel, 2015).…”

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