Communication Network Anaylsis of “WTS” (Want to Sell) on Twitter
DOI:
https://doi.org/10.32628/IJSRST52310677Keywords:
Communication Network Analysis, WTS, Social Network Analysis, CMC.Abstract
This research examines communication networks and key actors in the distribution of information, types of relationships, and communication carried out via computer platforms using the keyword WTS (Want To Sell). This research aims to determine and analyze the communication network and actors involved in the phenomenon of the trending topic "wts (want to sell)". This research uses Computer Mediated Communication (CMC) Theory. Social Network Analysis (SNA) is a visualization method for understanding relationships between individuals, which includes a general overview of social networks with the topics discussed. Application of SNA with Netlytic and Gephi models. Data of 10,000 samples was successfully recalled by Netlytic among active Twitter users. This research uses quantitative research methods with a descriptive approach. The results of the research show that there is degree centrality on the @Indomyfess account, this account is the most dominant actor and has a score of 273, betweenness centrality on the @sunrowf account with a value of 1373.83 as the strongest account in distributing link-related information, closeness centrality is 2,736 nodes which are popular actor in information distribution, and eigenvector centrality on the @indomyfess account with a value of 1.0 as the most important actor in information distribution and continues to be associated with related information. Interaction between actors in the "WTS" communication network occurs because they exchange information about topics surrounding the keyword "WTS."
References
- Aggrawal, N., & Anand, A. (2022). Social Networks: Modeling and Analysis. Boca Raton: CRC Press, Taylor & Francis Group.
- Agustina, L. (2020). Viralitas konten di media sosial. Majalah Semi Ilmiah Populer Komunikasi Massa, 1(2), 149-160.
- Ahyar, H., Maret, U. S., Andriani, H., Sukmana, D. J., Hardani, S. P., MS, N. H. A., ... & Istiqomah, R. R. (2020). Buku Metode Penelitian Kualitatif & Kuantitatif. Yogyakarta: CV. Pustaka Ilmu Group Yogyakarta.
- Anggreni, L. S., Nugroho, R. A., Luthfi, H. S., Kresna, I. M., & Santoso, T. B. (2019). Penggunaan kata umpatan di Twitter berdasarkan gender di pilkada Sumatera Utara 2018. Jurnal Kajian Komunikasi, 7(1), 121-132.
- Bakry, G. N. (2020). Struktur jaringan pengguna Twitter dengan tagar #Bandunglawancovid19. Jurnal Komunikasi Global, 9(2), 209-229.
- Banjaŕnahor, A. R., Purba, B., Sudarso, A., Sahir, S. H., Munthe, R. N., Kato, I., ... & Hasyim, H. (2021). Manajemen Komunikasi Pemasaran. Jakarta: Yayasan Kita Menulis.
- Cindoswari, A. R. (2019). Jaringan Komunikasi Dalam Adaptasi Ekonomi Etnis Pendatang Pada Paguyuban Etnis Sunda Babul Akhirat, Kota Batam Provinsi Kepulauan Riau. Jurnal Komunikasi Universitas Garut: Hasil Pemikiran dan Penelitian, 2(2), 1-18.
- Cindy Mutia Annur. 2023. Pengguna Twitter di Indonesia Capai 24 Juta hingga Awal 2023, Peringkat Berapa di Dunia?. https://databoks.katadata.co.id/datapublish/2023/02/27/pengguna-twitter-di-indonesia-capai-24-juta-hingga-awal-2023-peringkat-berapa-di-dunia#:~:text=Media-,Pengguna%20Twitter%20di%20Indonesia%20Capai%2024%20Juta,2023%2C%20Peringkat%20Berapa%20di%20Dunia%3F&text=Berdasarkan%20laporan%20We%20Are%20Social,seluruh%20dunia%20pada%20Januari%202023, 7 April 2023.
- De Vito, Joseph, A. (2011). Komunikasi Antar Manusia. Jakarta: Karisma Publishing Group.
- Fatoni, A., & Anestha, P. (2020). Analisis Jaringan Komunikasi Percakapan# tetapdukungpsbb di Twitter pada Penerapan PSBB Kedua DKI Jakarta. Jurnal Spektrum Komunikasi, 8(2), 177-200.
- Fikri, M., Putra, F. P. A., & Abidin, Z. (2022). Pengelolaan Kampanye Digital Pasangan Karna Suswandi-Khoirani (KARUNIA) Pada Pilkada Situbondo 2020. Journal Publicuho, 5(4), 1234-1244.
- Hakim, H. I., Ohorella, N., & Prihantoro, E. (2022). Strategi Komunikasi Pemasaran Angkringan Khulo Melalui Media Sosial Instagram. MUKASI: Jurnal Ilmu Komunikasi, 1(2), 111-122.
- Meliala, Y. H., & Nurdiansyah, T. (2019). Pengaruh Media Sosial Instagram Joko Widodo terhadap Elektabilitas Joko Widodo pada Pilpres 2019. Jurnal Pustaka Komunikasi, 2(2), 234-246.
- Morissan (2013). Teori Komunikasi Individu Hingga Massa. Jakarta: Kencana Prenada Media Grup.
- O'Reilly, T., & Milstein, S. (2012). The twitter book (2nd ed.). Sebastopol, CA: O’Reilly Media.
- Oscar, B., & Megantara, H. C. (2020). Pengaruh atribut produk terhadap keputusan pembelian produk muslim army. Pro Mark, 10(1).
- Prihantoro, E., & Ramadhani, R. W. (2021). Social Network Analysis: #BlackLivesMatter Distribution at Actor Level and System Level. Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia, 6(2), 275-283.
- Prihantoro, E., Rakhman, F. R., & Ramadhani, R. W. (2021). Digital Movement of Opinion Mobilization: SNA Study on# Dirumahaja Vs.# Pakaimasker. Jurnal ASPIKOM, 6(1), 77-93.
- Prihantoro, E., Rakhman, F. R., & Ramadhani, R. W. (2021). Digital Movement of Opinion Mobilization: SNA Study on# Dirumahaja Vs.# Pakaimasker. Jurnal ASPIKOM, 6(1), 77-93.
- Ramadhan, M. R. R., Andini, N. P., & Adiningsih, N. F. (2022). Literature Review E-Toll: Manajemen, Jaringan Komunikasi, Kemudahan Accessibility. Jurnal Manajemen Pendidikan Dan Ilmu Sosial, 3(2), 1142-1151.
- Rochmatin, L. (2020). Analisis Jaringan Komunikasi media sosial fenomena viral “KKN di Desa Penari” di Twitter. Doctoral dissertation. UIN Sunan Ampel Surabaya.
- Selay, A., Andigha, G. D., Alfarizi, A., Wahyudi, M. I. B., Falah, M. N., Encep, M., & Khaira, M. (2023). Sistem Informasi Penjualan. KARIMAH TAUHID, 2(1), 232-237.
- Shabriani Alda. 2022. Pengertian Arti WTS dalam Jual-Beli. https://evermos.com/home/panduan/glosarium/jual-beli-online/wts/, 3 Mei 2023.
- Sulistyo, R. A. (2022). Analisa Jaringan Komunikasi TKN Jokowi-Ma'ruf Dan NU Di Jabar Pada Pilpres 2019. Jurnal Ekonomi, Sosial & Humaniora, 3(11), 109-127.
- Suratnoaji, Catur. (2019). Metode Analisis Media Sosial Berbasis Big Data. Banyumas: Sasanti Institute
- Utami, S. R., Safitri, R. N., & Kuncoroyakti, Y. A. (2021). Analisis Jaringan dan Aktor# BatalkanOmnibusLaw di Media Sosial Twitter Menggunakan Social Network Analysis (SNA). Journal Of Media and Communication Science (JCommsci), 4(3), 135-148.
- Waqiyah, Y. (2020). Hubungan Mengakses Twitter Terhadap Pemenuhan Kebutuhan Informasi Kecantikan Pada Followers Akun@ Womanfeeds. Doctoral dissertation. Universitas Hasanuddin.
Downloads
Published
Issue
Section
License
Copyright (c) IJSRST

This work is licensed under a Creative Commons Attribution 4.0 International License.