Social Network Analysis of Basic Necessity Scarcity on Twitter: Evidence from Indonesia

Dyah Gandasari (1) , Diena Dwidienawati Tjiptadi (2) , David Tjahjana (3) , Mochamad Sugiarto (4) , Sarwititi Sarwoprasodjo (5)
(1) Department of Animal Husbandry, Polbangtan Bogor, Bogor, Indonesia , Indonesia
(2) Department of Business Management, BINUS Business School, BINUS University, Indonesia , Indonesia
(3) Department of Information Technology, Universitas Multimedia Nusantara, Indonesia , Indonesia
(4) Department of Social and Economic, Jenderal Soedirman University , Indonesia
(5) Departemen SKPM, IPB University , Indonesia

Abstract

The scarcity of basic necessities, a popular discussion topic in Indonesia, poses significant challenges to the citizens. Indonesians frequently comment on the issue on social media, including Twitter, which is perceived as a democratic public space to express opinions, interests, and information discursively in establishing communications as part of intercultural dialogues. The current study aims to analyse relevant communication networks and content regarding the topic of fundamental necessity scarcity in Indonesia on Twitter. Specifically, a cross-sectional design was employed with social network analysis (SNA) and content analysis (CA) conducted on public Twitter accounts. The study discovered a low communication intensity between nodes due to the existing dominance of several central actors. Simultaneously, the most frequently employed words were food, oil, cooking, the task force, and the hashtag phrase “punishthehoardersofcookingoil”. Auto-coded sentiment results demonstrated 8,963 references at neutral levels, 566 with moderately negative degrees, 500 with high negative levels, 90 with moderately positive, and 21 with highly positive degrees. The findings propounded that Twitter is an online public space, allowing autonomous and unrestricted debates on pertinent topics.

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References

Alrasyid, H., Kasim, & Deksino, G. R. (2022). Cooking Oil as a Form of State Defense. Jurnal Kewarganegaraan, 6(1), 992–1000. https://doi.org/https://doi.org/10.31316/jk.v6i1.2664

Alwafi, E. (2021). Tracing changes in teachers’ professional learning network on Twitter: Comparison of teachers’ social network structure and content of interaction before and during the COVID-19 pandemic. Journal of Computer Assisted Learning, 37(6), 1653–1665. https://doi.org/10.1111/jcal.12607

Andriessa, R. (2022). Rare cooking oil? It turns out that this is the cause! Pusat Studi Perdagangan Dunia, Universitas Gadjah Mada.

Anggun, W. (2008). Analysis of the impact of rising cooking oil prices on the frying business in Bekasi City. IPB.

Bahri, M. T., & Widhyharto, D. S. (2021). Twitter-Based Digital Social Movement Pattern to Fight COVID-19. Jurnal Ilmu Sosial Dan Ilmu Politik, 25(2), 95–112. https://doi.org/https://doi.org/10.22146/jsp.56872

Battisti, E., Graziano, E. A., & Christofi, M. (2021). Equity crowdfunding platforms and social media: a Twitter analysis. International Journal of Entrepreneurial Behaviour and Research, 28(5), 1206-1221. https://doi.org/10.1108/IJEBR-01-2021-0081

Bedford-petersen, C., & Weston, S. J. (2021). Mapping Individual Differences Online : A Case Study of the Type 1 Diabetes Community Table of Contents. JMIR Diabetes, 6(4), 1-11. https://doi.org/10.2196/30756

Budi, A., & Pamungkas, W. (2020). Partisanship in Crisis: Public Response to Covid-19 Pandemic in Indonesia. Jurnal Ilmu Sosial Dan Ilmu Politik, 24(1), 15–32. https://doi.org/10.22146/jsp.52770

Dewi, L. (2022). The Impact of Increasing Cooking Oil Prices for Small Traders. Jounal of Economics and Social Sciences (JESS), 1(2), 67–75.DOI??

Dijk, J. Van. (2006). The Network Society. Social Aspects of New Media. Sage Publications.

Eriyanto. (2011). Content Analysis: Introduction to Methodology for Research in Communication Studies and Other Social Sciences. Kencana.

Fani, H., Jiang, E., Bagheri, E., Al-Obeidat, F., Du, W., & Kargar, M. (2020). User community detection via embedding of social network structure and temporal content. Information Processing and Management, 57(2), 102056. https://doi.org/10.1016/j.ipm.2019.102056

Fatoni, A., & Anestha, P. (2021). Analysis of Communication Networks in the #TetapDukungPSBB Conversation on Twitter in the Second Implementation of the DKI Jakarta PSBB. Jurnal Spektrum Komunikasi, 8(2), 177–200. https://doi.org/DOI:10.37826/spektrum.v8i2.115

Fitriyah, P., Fatoni, A., & Nasher, A. (2020). Communication and Network Crisis : Mapping of Important Actors in the #BersatuLawanCovid19 Campaign on Twitter. 6th International Conference on Social and Political Sciences (ICOSAPS 2020) C, 510(August 2011), 232–238.

Fitriyah, P., & Nurhaeni, I. D. A. (2021). Netnography and social network analysis: Centrality actors reopening Indonesia’s tourism industry in a transitional era. Jurnal Komunikasi: Malaysian Journal of Communication, 37(3), 257–273. https://doi.org/https://doi.org/10.17576/JKMJC-2021-3703-15

Gafar, S. (2008). Quo Vadis Basic Needs Management? Jurnal Pangan, 17(ii), 33–41. https://doi.org/https://doi.org/10.33964/jp.v17i2.251

Gandasari, D., Dwidienawati, D., Tjahjana, D., & Sugiarto, M. (2022). Social Network Analysis : Local and Global Centrality as the Communication Network Structure in the Beef Cattle Farmer Groups. International Journal of Industrial Engineering & Production Research, 33(2), 1–17. https://doi.org/10.22068/ijiepr.33.2.12

Gandasari, D., Sarwoprasodjo, S., Ginting, B., & Susanto, D. (2018). Orchid Consortium Communication Network in Indonesia. Pertanika J. Soc. Sci. & Hum, 26(3), 1797–1814.

García, F., & Daly, A. J. (2016). Identifying the new Infl uencers in the Internet Era : Social Media and Social Network Analysis. Rev.Esp.Investig.Sociol, 153(March), 23–40. https://doi.org/10.5477/cis/reis.153.23

Hicks, D., Cavanagh, M. F., & VanScoy, A. (2020). Social network analysis: A methodological approach for understanding public libraries and their communities. Library and Information Science Research, 42(3), 101029. https://doi.org/10.1016/j.lisr.2020.101029

Himelboim, I., Smith, M. A., Rainie, L., Shneiderman, B., & Espina, C. (2017). Classifying Twitter Topic-Networks Using Social Network Analysis. Social Media and Society, 3(1). https://doi.org/10.1177/2056305117691545

Juditha, C. (2014). Public Opinion on the KPK Case Against the Police" in Social Media Twitter. Jurnal Pekommas, 17(2), 61–70. https://doi.org/10.30818/jpkm.2014.1170201

Kaplan, A. M., & Haenlein, M. (2010). Users of the world , unite ! The challenges and opportunities of Social Media. Business Horizons, 53(2010), 59–68. https://doi.org/10.1016/j.bushor.2009.09.003

Kemdikbud. (2019). Online Indonesian Dictionary. https://kbbi.kemdikbud.go.id/

Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology. In Physical Review B (Second Edi), 31(6). Sage Publications, Inc.

Kriyantono, R. (2020). Practical Techniques of Communication Research: Accompanied by Practical Examples of Media Research, Public Relations, Advertising, Organizational Communications, Marketing Communications. Kencana Prenada Media Group.

Kumar, S., Morstatter, F., & Liu, H. (2014). Twitter Data Analystic (pp. 1041-4347). New York Springer. https://doi.org/DOI 10.1007/978-1-4614-9372-3

Kusuma, Y. (2009). Smart Twitter: Easy Blogging Anywhere, Tips on Doing Business via Twitter, Easy Tips & Tricks to Manage Twitter. Grasindo.

Lei, Z., Chen, Y., & Lim, M. K. (2021). Modelling and analysis of big data platform group adoption behaviour based on social network analysis. Technology in Society, 65(101570), 1–11. https://doi.org/10.1016/j.techsoc.2021.101570

Liu, K., Li, W., & Guo, M. (2012). Emoticon Smoothed Language Models for Twitter Sentiment Analysis. Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 26(1), 1678–1684. https://doi.org/10.1609/aaai.v26i1.8353

Madani, Y., Erritali, M., Bengourram, J., & Sailhan, F. (2020). A Hybrid Multilingual Fuzzy-Based Approach to the Sentiment Analysis Problem Using SentiWordNet. International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, 28(3), 361–390. https://doi.org/10.1142/S0218488520500154

Mastan, I. A., & Christianto, C. (2021). Application of Social Network Analysis in Analyzing Tokopedia’s Collaboration with Korean Boyband BTS. BIP’s JURNAL BISNIS PERSPEKTIF, 13(1), 32–42.

Morales-I-gras, J., Orbegozo-Terradillos, J., Larrondo-Ureta, A., & Peña-Fernández, S. (2021). Networks and stories. Analyzing the transmission of the feminist intangible cultural heritage on twitter. Big Data and Cognitive Computing, 5(4), 69. https://doi.org/https://doi.org/10.3390/bdcc5040069

Morris, T., & Ballantine, P. (2015). Social Media for Writers (First Edit). Writer’s Digest (WD).

Moukarzel, S., Caduff, A., Rehm, M., Fresno, M., Rafael, P., & Daly, A. J. (2021). Breastfeeding Communication Strategies , Challenges and Opportunities in the Twitter-Verse : Perspectives of Influencers and Social Network Analysis. Int. J. Environ. Res. Public Health, 18(6181), 1–13. https://doi.org/https:// doi.org/10.3390/ijerph18126181

Nazar, S., & Pieters, T. (2021). Plandemic Revisited: A Product of Planned Disinformation Amplifying the COVID-19 “infodemic.” Frontiers in Public Health, 9(649930), 649930. https://doi.org/10.3389/fpubh.2021.649930

Park, H., Park, S.-Y., & Kim, M. (2020). Characteristics of twitter influencers, electronic word of mouth, and film viewership: Focused on the Korean film industry. Journal of Scientific and Industrial Research, 79(6), 503–508.

Parnell, J. M. (2018). Social Network Analysis: Presenting an Underutilised Method for Nursing Research. Journal of Advanced Nursing, 74(6), 1310–1318. https://doi.org/10.1111/jan.13541

PERPRES RI. (2015). PERPRES RI No.71 of 2015 concerning Stipulation and Storage of Basic Necessities and Important Goods.

Pujiati, N. (2020). The Effect of Fluctuating Prices of Staple and Non-Basic Goods on Demand and Supply. Jurnal Ekonomi & Pendidikan, 17(2), 116–127.

Rathnayake, C. (2021). Uptake, polymorphism, and the construction of networked events on Twitter. Telematics and Informatics, 57(2021), 101518. https://doi.org/10.1016/j.tele.2020.101518

Rohimi, P. (2021). SNA with Netlytic on Gus Miftah’s Youtube Video Comment Column Lectures at Church. Ficosis, 1(1), 360–377. https://doi.org/https://doi.org/10.21154/dialogia.v19i1.2782

Russo, A., Watkins, J., Kelly, L., & Chan, S. (2008). Participatory Communication with Social Media. Curator: The Museum Journal, 51(1), 21–31. https://doi.org/doi:10.1111/j.2151-6952.2008.tb00292.x

Sanawi, J., Samani, M., & Taibi, M. (2017). # VACCINATION : IDENTIFYING INFLUENCERS IN THE VACCINATION DISCUSSION ON TWITTER THROUGH. International Journal of Business and Society, 18(S4), 718–726.

Sari, D. K., Ahmad, J., Hergianasari, P., Harnita, P. C., & Wibowo, N. A. (2021). Quantitative study of the cyber-nationalism spreading on twitter with hashtag indonesia and malaysia using social network analysis. Media Watch, 12(1), 161–171. https://doi.org/10.15655/mw/2021/v12i1/205465

Selden, M., & Goodie, A. S. (2018). Review of the effects of Five Factor Model personality traits on network structures and perceptions of structure. Social Networks, 52(2018), 81–99. https://doi.org/https://doi.org/10.1016/j.socnet.2017.05.007

Stokman, F. (2001). Networks : Social. In P. B. B. Neil J. Smelser (Ed.), International Encyclopedia of the Social and Behavioral Sciences (pp. 10509–10514). Pergamon Press.

Storey, K. E., Stearns, J. A., McLeod, N., & Montemurro, G. (2021). A social network analysis of interactions about physical activity and nutrition among APPLE schools staff. SSM - Population Health, 14. https://doi.org/10.1016/j.ssmph.2021.100763

Su, Y. S., Lin, C. L., Chen, S. Y., & Lai, C. F. (2020). Bibliometric study of social network analysis literature. Library Hi Tech, 38(2), 420–433. https://doi.org/Su, Yu-Sheng; Lin, Chien-Linag; Chen, Shih-Yeh; Lai, Chin-Feng (2020). Bibliometric study of social network analysis literature. Library Hi Tech, 38(2), 420–433. https://doi.org/10.1108/lht-01-2019-0028

Tahmasebi, A., & Askaribezayeh, F. (2020). Microfinance and social capital formation- a social network analysis approach. Socio-Economic Planning Sciences, 76(August 2021), 100978. https://doi.org/https://doi.org/10.1016/j.seps.2020.100978

Taprial, V., & Kanwar, P. (2012). Understanding Social Media. Ventus Publishing ApS.

Tous-Rovirosa, A., & Dergacheva, D. (2021). #EsteVirusloParamosUnidos: War-like political communication on Twitter. Creating homogeneous communities in the Covid-19 crisis. Estudios Sobre El Mensaje Periodistico, 27(4), 1227–1241. https://doi.org/10.5209/ESMP.75758

Wanda, P., & Jie, H. J. (2021). DeepFriend: finding abnormal nodes in online social networks using dynamic deep learning. Social Network Analysis and Mining, 11(1), 1–12. https://doi.org/https://doi.org/10.1007/s13278-021-00742-2

Watanabe, N. M., Kim, J., & Park, J. (2021). Social network analysis and domestic and international retailers: An investigation of social media networks of cosmetic brands. Journal of Retailing and Consumer Services, 58(August 2020), 102301. https://doi.org/10.1016/j.jretconser.2020.102301

Wu, F., & Huberman, B. A. (2007). Novelty and collective attention. Proceedings of the National Academy of Sciences of the United States of America, 104(45), 17599–17601. https://doi.org/10.1073/pnas.0704916104

Yafiz, I. (2022, March 18). Cooking oil is abundant, but “now the price is expensive.” BBC News Indonesia. https://www.bbc.com/indonesia/indonesia-60754619

Yang, L., Yang, Y., Mgaya, G. B., Zhang, B., Chen, L., & Liu, H. (2021). Novel Fast Networking Approaches Mining Underlying Structures from Investment Big Data. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(10), 6319–6329. https://doi.org/10.1109/TSMC.2019.2961378

Authors

Dyah Gandasari
dyah.gandasari@gmail.com (Primary Contact)
Diena Dwidienawati Tjiptadi
David Tjahjana
Mochamad Sugiarto
Sarwititi Sarwoprasodjo
Author Biographies

Dyah Gandasari, Department of Animal Husbandry, Polbangtan Bogor, Bogor, Indonesia

She completed her bachelor's degree as Bachelor's in Agriculture from Institute Pertanian Bogor (IPB).  She holds her master's degree in Agribusiness Management from Magister Management Agribisnis IPB.  Her doctoral degree in Communication was obtained Doctoral Program in IPB.  Currently, she is a faculty member at Polbangtan Bogor. Her main research of interest includes Human Communication,  Communication Development, Social Communication and New Media, Information and Communication Technology, and Organizational Behavior.

Diena Dwidienawati Tjiptadi, Department of Business Management, BINUS Business School, BINUS University, Indonesia

Currently, she is working as Head of the Program of Business Management BINUS Business School Undergraduate Program, Bina Nusantara University. Interest in research and areas of expertise are in digital business, business development, leadership, strategic management and marketing management.

David Tjahjana, Department of Information Technology, Universitas Multimedia Nusantara, Indonesia

He obtained his Doctorate in 2020 with a Cum Laude predicate for a 2.5-year study period with dissertation research related to frugal innovation, digital business and family business. David started his career as a programmer analyst to a professional career of 20 years in the Fast-Food, American Franchise company at Dunkin' Donuts Corporation and D2 Bakery. David has been at the level of Commissioner and General Manager: GM Administration and Finance and GM Operations and Marketing (D2 Bakery & Home-Made Bakery); Level Manager as IT Manager, HR Manager, and Business Development ATM room; David once served as Director of the UPH Postgraduate program, running a business as President Director of “Kuali Mamaku” & “Home Baked Bakery”. David is experienced in the field of Education, being a Binus Lecturer from 1999-2000, a Home-based Lecturer at UMN (S1 & S2) from 2014 until now, and a Binu's Lecturer (S1 & S2) from 2020 until now.

Mochamad Sugiarto, Department of Social and Economic, Jenderal Soedirman University

He obtained a Master of Management (MM) degree at the College of Economics and Management, University of the Philippines Los Banos (UPLB). In 2006 he obtained his Doctorate (PhD) at the Department of Community Development, College of Public Affairs, UPLB. The author focuses his research on institutional management, agribusiness, and community development. Currently assigned as Vice Dean for General Affairs and Finance, Faculty of Animal Science, UNSOED (2021-2025). The author is active as Secretary General of the Association of Indonesian Animal Husbandry Socio-Economic Scientists (PERSEPSI) in 2017-2021, 2022-2026.

Sarwititi Sarwoprasodjo, Departemen SKPM, IPB University

She completed her bachelor's degree in the Agricultural Extension Study program of IPB University (1986). Master's Degree in Rural Sociology from IPB University (1993), and Doctoral Degree in Communication Studies Program, University of Indonesia (2007). Currently she is a faculty member in SKPM Department–FEMA, IPB University. Lecturer at IPB University. Her discipline in Social Psychology, Developmental Psychology, and Clinical Psychology. Her Skills and expertise in Communication, Media Studies, Communication Theory, Social Communication and New Media Technology. She has published more than 50 publications.

Gandasari, D., Tjiptadi, D. D., Tjahjana, D., Sugiarto, M., & Sarwoprasodjo, S. (2023). Social Network Analysis of Basic Necessity Scarcity on Twitter: Evidence from Indonesia. Journal of Intercultural Communication, 23(2), 01–12. https://doi.org/10.36923/jicc.v23i2.57

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