Unmasking the Network: The Power Dynamics Behind the Social Movement Against Election Postponement

Evie Ariadne Shinta Dewi; Diyaulmuhana Diyaulmuhana; Benazir Bona Pratamawaty

doi:10.31000/nyimak.v8i2.10945

Unmasking the Network: The Power Dynamics Behind the Social Movement Against Election Postponement

Evie Ariadne Shinta Dewi, Diyaulmuhana Diyaulmuhana, Benazir Bona Pratamawaty

Abstract

This study analyzes and visualizes the network dynamics of the "Tolak Penundaan Pemilu" movement on Twitter, focusing on network structure, types of relationships, and overall connectivity. Using Graph Theory to define the network and Resource Mobilization Theory (RMT) to understand the role of resources, particularly human resources, in mobilizing social movements, the study applies quantitative Social Network Analysis (SNA) to a dataset comprising 2,210 nodes and 1,406 edges. Data was collected through text mining using Netlytic and analyzed with Gephi and Ucinet. The results indicate that the network has a two-mode relationship type with a radial personal network communication pattern, and the relationship direction is directed and asymmetrical. The network structure consists of 35 components, 3 isolated nodes, 47 cutpoints, and no cliques, indicating a fragmented and hierarchical network nature. These findings provide insights into the distribution of information and support within the "Tolak Penundaan Pemilu" movement. This research contributes to the study of social network dynamics in political movements on Twitter by highlighting the interaction between network structure and resource mobilization, offering new perspectives on digital social movement organizational patterns, and enriching the understanding of how social networks influence and facilitate collective action in contemporary political contexts.

Keywords: Social Movement, Graph Teory, Reject Election Postponement, SNA, Resource Mobilization Theory

Abstrak

Penelitian ini menganalisis dan memvisualisasikan dinamika jaringan gerakan "Tolak Penundaan Pemilu" di Twitter, dengan fokus pada struktur jaringan, jenis hubungan, dan konektivitas keseluruhan. Menggunakan Teori Graf untuk mendefinisikan jaringan serta Teori Mobilisasi Sumber Daya (RMT) untuk memahami peran sumber daya, khususnya sumber daya manusia, dalam memobilisasi gerakan sosial, penelitian ini menerapkan analisis jejaring sosial (SNA) kuantitatif pada dataset yang terdiri dari 2.210 node dan 1.406 edge. Data dikumpulkan melalui text mining menggunakan Netlytic dan dianalisis dengan Gephi serta Ucinet. Hasil menunjukkan bahwa jaringan ini memiliki jenis hubungan dua mode dengan pola komunikasi jaringan personal radial, serta arah hubungan yang terarah dan asimetris. Struktur jaringan terdiri dari 35 komponen, 3 isolated node, 47 cutpoints, tanpa adanya clique, yang menggambarkan sifat jaringan terfragmentasi dan hierarkis. Temuan ini memberikan wawasan tentang distribusi informasi dan dukungan dalam gerakan "Tolak Penundaan Pemilu". Penelitian ini berkontribusi pada kajian dinamika jejaring sosial dalam gerakan politik di Twitter dengan menyoroti interaksi antara struktur jaringan dan mobilisasi sumber daya, memberikan perspektif baru tentang pola organisasi gerakan sosial digital, serta memperkaya pemahaman tentang pengaruh jejaring sosial dalam memfasilitasi aksi kolektif di konteks politik kontemporer.

Kata Kunci: Gerakan Sosial, Graph Theory , Tolak Penundaan Pemilu, SNA, Resource Mobilization Theory

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References

Abdullah, F. H. (2020). Revolution in Egypt: Political Movements and Mobilization of Resources. Insight on Africa, 12(1), 7-28. https://doi.org/10.1177/0975087819848914

Aichner, T., Grünfelder, M., Maurer, O., & Jegeni, D. (2021). Twenty-Five Years of Social Media: A Review of Social Media Applications and Definitions from 1994 to 2019. In Cyberpsychology, Behavior, and Social Networking (Vol. 24, Issue 4, pp. 215-222). Mary Ann Liebert Inc. https://doi.org/10.1089/cyber.2020.0134

Alfiyani, N. (2018). SOCIAL MEDIA AS A POLITICAL COMMUNICATION STRATEGY. Portrait of Thought, 22(1). https://doi.org/10.30984/pp.v22i1.762

Alhajj, R., & Rokne, J. (Eds.). (2018). Encyclopedia of Social Network Analysis and Mining (Second Edition). Springer Science+Business Media LLC.

Bakry, G. N. (2020). Network Structure of Twitter Users with the hashtag #Bandunglawancovid19. Journal of Global Communication, 9(2), 209-229. https://doi.org/10.24815/jkg.v9i2.17478

Bakry, G. N., & Kusmayadi, I. M. (2021). The Role of the Press as an Actor of the #SolidarityUntukNTT Digital Movement on Twitter. Journal of Journalism Studies, 5(1), 98. https://doi.org/10.24198/jkj.v5i1.33458

BBC News Indonesia. (2022, March 1). Election postponement in 2024, is it possible? Retrieved from BBC.com: https://www.bbc.com/indonesia/indonesia60561290

bin MUHAMMAD ALKATIRI, A., NADIAH, Z., & NASUTION, A. N. S. (2020). PUBLIC OPINION ON THE IMPLEMENTATION OF NEW NORMAL ON TWITTER SOCIAL MEDIA. CoverAge: Journal of Strategic Communication, 11(1), 19-26. https://doi.org/10.35814/coverage.v11i1.1728

Breuer, A., Landman, T., & Farquhar, D. (2015). Social media and protest mobilization: evidence from the Tunisian revolution. Democratization, 22(4), 764-792. https://doi.org/10.1080/13510347.2014.885505

Brünker, F., Wischnewski, M., Mirbabaie, M., & Meinert, J. (2020). The Role of Social Media during Social Movements - Observations from the #metoo Debate on Twitter. https://doi.org/10.24251/HICSS.2020.288

Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (Fifth Edition). SAGE Publications, Inc. Creswell, J. W., & Poth, C. N. (2018). Qualitative Inquiry Research Design Choosing Among Five Approaches (Fourth Edition). SAGE Publications, Inc.

D'Andrea, A., Ferri, F., & Grifoni, P. (2010). An Overview of Methods for Virtual Social Networks Analysis. 3–25. https://doi.org/10.1007/978-1- 84882-229-0_1

Dewi, E. A. S. (2017). Political Communications, State, and Institutionalization of Democracy. Mediator: Journal of Communication, 10(2), 133- 142. https://doi.org/10.29313/mediator.v10i2.2735

Edwards, B., & Kane, M. (2014). Resource mobilization and social and political movements. Handbook of Political Citizenship and Social Movements, 205-232. https://doi.org/10.4337/9781781954706.00018

Eriyanto. (2014). Communication Network Analysis. Jakarta: KENCANA. Eslen-Ziya, H. (2013). Social media and Turkish feminism: New resources for social activism. Feminist Media Studies, 13(5), 860-870. https://doi.org/10.1080/14680777.2013.838369

Flynn, S. I. (2011). Resource Mobilization Theory. In Sociology Reference Guide Theories of Social Movement (1st ed.). Salem Press.

Gamal, D. H. (2017). Social Network Influence Analysis [Master of Science in Computing and Information Sciences]. University of North Florida.

Greijdanus, H., de Matos Fernandes, C. A., Turner-Zwinkels, F., Honari, A., Roos, C. A., Rosenbusch, H., & Postmes, T. (2020). The psychology of online activism and social movements: relations between online and offline collective action. In Current Opinion in Psychology (Vol. 35, pp. 49-54). Elsevier Ltd. https://doi.org/10.1016/j.copsyc.2020.03.003

Heryanto, G. G., & Rumaru, S. (2013). Political Communication An Introduction (1st Printing). Ghalia Indonesia Publisher.

Himelboim, I., Golan, G. J., Moon, B. B., & Suto, R. J. (2014). A Social Networks Approach to Public Relations on Twitter: Social Mediators and Mediated Public Relations. Journal of Public Relations Research, 26(4), 359-379. https://doi.org/10.1080/1062726X.2014.908724

Isa, D., & Himelboim, I. (2018). A Social Networks Approach to Online Social Movements: Social Mediators and Mediated Content in #FreeAJStaff Twitter Network. Social Media and Society, 4(1). https://doi.org/10.1177/2056305118760807

Ilmiah, J., & Makna, K. (2022). Analysis of Actor Influence on #roketchina Hashtag on Twitter Social Media Using Social Network Analysis (SNA). 10(1), 43–56. https://doi.org/http://dx.doi.org/10.30659/jikm.v10i 1.15644

Inayah, D., & Purba, F. L. (2021). IMPLEMENTATION OF SOCIAL NETWORK ANALYSIS IN THE SPREAD OF CORONA VIRUS (COVID-19) INFORMATION ON TWITTER. National Seminar on Official Statistics, 2020(1), 292-299. https://doi.org/10.34123/semnasoffstat.v2020i1.573

Indrawan, R. M. J. (2017). THE IMPACT OF POLITICAL COMMUNICATION AND PUBLIC OPINION ON PUBLIC BEHAVIOR. WACANA, Scientific Journal of Communication Science, 16(2), 171. https://doi.org/10.32509/wacana.v16i2.14

Jastania, Z., Aslam, M. A., Abbasi, R. A., & Saeedi, K. (2020). Using social network analysis to understand public discussions: The case study of #Saudi Women Can Drive on Twitter. International Journal of Advanced Computer Science and Applications, 2, 223-231. https://doi.org/10.14569/ijacsa.2020.0110230.

Kade Galuh, I. G. A. A. (2016). Social Media as a Strategy for the Bali Movement Against Reclamation. Journal of COMMUNICATION SCIENCE, 13(1), 73-92. https://doi.org/10.24002/jik.v13i1.602

Kapoor, K. K., Tamilmani, K., Rana, N. P., Patil, P., Dwivedi, Y. K., & Nerur, S. (2018). Advances in Social Media Research: Past, Present and Future. Information Systems Frontiers, 20(3), 531-558. https://doi.org/10.1007/s10796-017-9810-y

Leong, C., Pan, S. L., Bahri, S., & Fauzi, A. (2019b). Social media empowerment in social movements: power activation and power accrual in digital activism. European Journal of Information Systems, 28(2), 173-204. https://doi.org/10.1080/0960085X.2018.1512944

Littlejohn, S. W., Foss, K. A., & Oetzel, J. G. (2017). Theories of Human Communication (Eleventh Edition). Waveland Press, Inc. (2022, February 28). MPR Leader Says 1945 Constitutional Amendment to Postpone Elections Should Ask the People. Retrieved from

Liputan6.com: https://www.liputan6.com/news/read/4899280/pimp inan-mpr-sebut-amandemen-uud-1945-untukpenundaan-pemilu-harus-tanya-rakyat (2022, February 28). Proposed Postponement of the 2024 Election, Constitutional Law Expert: Constitutional Defiance. Retrieved from Liputan6.com: https://www.liputan6.com/news/read/4899026/usul an-penundaan-pemilu-2024-pakar-hukum-tata-negara-pembangkangan-konstitusi

Maharani, W., Adiwijaya, & Gozali, A. A. (2014). Degree centrality and eigenvector centrality in twitter. 2014 8th International Conference on Telecommunication Systems Services and Applications (TSSA), 1-5. https://doi.org/10.1109/TSSA.2014.7065911 Melnychenko, V. (2020). Resource Mobilization Through Social Media: Ukrainian Case [UNIVERSITY OF JYVÄSKYLÄ]. In JYX Digital Repository.

Mulyani, H. S., Bakry, G. N., & Kusmayadi, I. M. (2022). Storytelling with Network Data Visualization Hashtag #PrayForTurkey on Twitter. 34, 366-381. https://doi.org/doi.org/10.5281/zenodo.7306374

Murthy, D. (2012). Towards a Sociological Understanding of Social Media: Theorizing Twitter. In Sociology (Vol. 46, Issue 6, pp. 1059-1073). SAGE Publications Ltd. https://doi.org/10.1177/0038038511422553 Musianto, L. S. (2002). Differences in Quantitative Approaches with Qualitative Approaches in Research Methods. Journal of Management and Entrepreneurship, 4(2), 123-136. https://doi.org/10.9744/jmk.4.2.pp.123-136

Nisa, C., & Rahayu, Z. (2019). Social Media in the Anticorruption Movement: Social Network Analysis on the Refusal of the "Koruptor Boleh Nyaleg" Decision on Twitter JOURNAL KomUNIKASI INdoNeSIA. www.acch.kpk.

Oyza, I., & Edwin, A. M. (2015). Effectiveness of social media networks as a strategic tool for organizational marketing management. Journal of Internet Banking and Commerce, 1. https://doi.org/10.4172/1204-5357.S2-006

Roose, J., & Dietz, H. (2016). Social theory and social movements: Mutual inspirations. Social Theory and Social Movements: Mutual Inspirations, 1-173. https://doi.org/10.1007/978-3-658-13381-8

Rosadi, B., Darmawan, C., & Anggraeni, L. (2020). The influence of political messages on social media for increasing the political literacy of millennial generation. Jurnal Civicus, 20(1), 26-30.

Scott, J. (2011). Social network analysis: developments, advances, and prospects. Social Network Analysis and Mining, 1(1), 21-26. https://doi.org/10.1007/s13278-010-0012-6

Scott, J., & Carrington, P. J. (Eds.). (2011). The SAGE Handbook of Social Network Analysis (First Edition). SAGE Publications. Sugiyono. (2013). Quantitative, Qualitative, and R&D Research Methods. Bandung: Alfabeta.

Susanto, E. H. (2017). SOCIAL MEDIA AS A SUPPORTER OF POLITICAL COMMUNICATION NETWORKS. ASPIKOM Journal, 3(3), 379. https://doi.org/10.24329/aspikom.v3i3.123

Syarief, F., (2017). Social Media Utilization in the Public Opinion Formation Process (Analysis of Sby's Twitter Discourse). In Journal of Communication (Vol. 3).

Tomasoa, L., Iriani, A., & Sembiring, I. (2019). Knowledge Extraction about the Spread of #Ratnamiliksiapa on Social Networks (Twitter) using Social Network Analysis (SNA). Journal of Information Technology and Computer Science, 6(6), 677. https://doi.org/10.25126/jtiik.2019661710

Utami, S. R., Safitri, R. N., & Kuncoroyakti, Y. A. (2021). Network Analysis and Actors #CancelOmn ibusLaw on Twitter Social Media Using Social Network Analysis (SNA). JCommsci - Journal of Media and Communication Science, 4(3), 135-148. https://doi.org/10.29303/jcommsci.v4i3.111

DOI: http://dx.doi.org/10.31000/nyimak.v8i2.10945