COMMUNICATION NETWORKS ANALYSIS ON INFORMATION DISSEMINATION OF THE MOVING OF CAPITAL CITY FROM JAKARTA TO EAST KALIMANTAN

##plugins.themes.academic_pro.article.sidebar##

ASPIRATION Journal
Published Jul 31, 2020
https://doi.org/10.56353/aspiration.v1i1.4
Download
PDF
Statistic
Vol. 1 No. 1 (2020): July Edition of ASPIRATION Journal

##plugins.themes.academic_pro.article.main##

Kiayati Yusriyah
Universitas Gunadarma, Indonesia
Sudaryanto Sudaryanto
Universitas Gunadarma, Indonesia
Ahmad Fatoni
Universitas Gunadarma, Indonesia
Muhammad Akram Mansyur
Erasmus Rotterdam University, Netherlands

Abstract

Jakarta as the state capital of Indonesia faces complex problems in daily life, especially those related to high population density, urbanization, traffic congestion, natural disasters, and severe environmental conditions. These problems are becoming justifications for the need to move the country's capital to East Kalimantan as decided by the government. East Kalimantan was chosen as the new capital, based on the results of intensive studies, having very minimal disaster reserves such as floods, earthquakes, tsunamis, forest fires and landslides. East Kalimantan is also considered to have a strategic location. If drawn coordinates, its location is in the middle of Indonesian territory, and is near urban areas. Dissemination of information about those planning is done through various communication networks, including on social media. This study aims to identify the dominant actors in communication networks on Twitter with the hashtag #IbuKotaBaru during the periods of August 1 to September 22, 2019. The study was conducted using quantitative approach by employing GEPHI tools. The results revealed that in the #IbuKotaBaru communication network, there were three dominant actors who actively disseminate the relevant information namely detikfinance, yulionta and derupiston. The most popular actor was detikfinance. There are 63.33% of actors who have a high closeness with other actors, there are no actor who mediate with other actors in communication. Yulionta and Derupiston are the two most important actors in disseminating information about the move to  new country’s capital in the #IbuKotaBaru communication network  as indicated by its  highest values  of Eigenvector Centrality.

##plugins.themes.academic_pro.article.details##

Creative Commons License

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

Author Biographies

Kiayati Yusriyah, Universitas Gunadarma, Indonesia

Communication Science Department, Universitas Gunadarma, Margonda Raya Road No. 100. Depok City, West Java, Indonesia

Sudaryanto Sudaryanto, Universitas Gunadarma, Indonesia

Industrial Engineering Department, Universitas Gunadarma, Margonda Raya Road No. 100. Depok City, West Java, Indonesia

Ahmad Fatoni, Universitas Gunadarma, Indonesia

Communication Science Department, Universitas Gunadarma, Margonda Raya Road No. 100. Depok City, West Java, Indonesia

Muhammad Akram Mansyur, Erasmus Rotterdam University, Netherlands

Institute of Housing and Urban Development Studies (HIS), Erasmus Rotterdam University, Burgemeester Oudlaan 50 Mandeville (T) Building, 14th floor 3062 PA Rotterdam The Netherlands

How to Cite
Yusriyah, K., Sudaryanto, S., Fatoni, A., & Mansyur, M. A. (2020). COMMUNICATION NETWORKS ANALYSIS ON INFORMATION DISSEMINATION OF THE MOVING OF CAPITAL CITY FROM JAKARTA TO EAST KALIMANTAN. ASPIRATION Journal, 1(1), 32–55. https://doi.org/10.56353/aspiration.v1i1.4

References

  1. Aramburu, M. J., Berlanga, R., & Lanza, I. (2020). Social media multidimensional analysis for intelligent health surveillance. International Journal of Environmental Research and Public Health, 17(7). https://doi.org/10.3390/ijerph17072289
  2. Ballestar, M. T., Cuerdo-Mir, M., & Freire-Rubio, M. T. (2020). The concept of sustainability on social media: A social listening approach. Sustainability (Switzerland), 12(5). https://doi.org/10.3390/su12052122
  3. Bednarek, M. (2016). Investigating evaluation and news values in news items that are shared through social media. Corpora, 11(2), 227–257. https://doi.org/10.3366/cor.2016.0093
  4. Bennett, W. L., & Pfetsch, B. (2018). Rethinking Political Communication in a Time of Disrupted Public Spheres. Journal of Communication, 68(2), 243–253. https://doi.org/10.1093/joc/jqx017
  5. Carley, K. M., Malik, M., Landwehr, P. M., Pfeffer, J., & Kowalchuck, M. (2016). Crowd sourcing disaster management: The complex nature of Twitter usage in Padang Indonesia. Safety Science, 90, 48–61. https://doi.org/10.1016/j.ssci.2016.04.002
  6. Djamali, R. (1999). Analisis Jaringan Komunikasi dalam Bisnis Sarang Burung Walet di Kabupaten Jember Jawa Timur. Institut Pertanian Bogor.
  7. Eriyanto. (2014). Analisis Jaringan Komunikasi: Strategi Baru dalam Penelitian Ilmu Komunikasi dan Ilmu Sosial Lainnya. Jakarta: Prenadamedia Group.
  8. Freeman, L. C. (1978). “Centrality in social networks: Conceptual clarification.” Soc. Networks, 1(3), 215–239.
  9. Golbeck, J. (2013). Analyzing the Social Web. In Analyzing the Social Web. https://doi.org/10.1016/B978-0-12-405531-5.00003-1
  10. Grandjean, M. (2016). A social network analysis of Twitter: Mapping the digital humanities community. Cogent Arts and Humanities, 3(1). https://doi.org/10.1080/23311983.2016.1171458
  11. Himelboim, Itai, 2017. Social Network Analysis (Social Media). First published:01 August 2017, URL: https://doi.org/10.1002/9781118901731.iecrm0236
  12. Idris, I. K. (2018). Government social media in Indonesia: Just another information dissemination tool. Jurnal Komunikasi: Malaysian Journal of Communication, 34(4), 337–356. https://doi.org/10.17576/JKMJC-2018-3404-20
  13. Isa, D., & Himelboim, I. (2018). A Social Networks Approach to Online Social Movement: Social Mediators and Mediated Content in #FreeAJStaff Twitter Network. Social Media and Society, 4(1). https://doi.org/10.1177/2056305118760807
  14. Leavitt, H., & Bahrami. (1988). Managerial Psychology (Fifth). University of Chicago Press.
  15. Luo, J.-D. (2010). Social Network Analysis. Beijing: Social ScienceAcademic Press (China).
  16. Mansyur, M. (2020). Social Media Utilization in Generating Fast Response During Urban Flooding: A Case Study of Depok City. Proceedings of the Proceedings of the 1st Hasanuddin International Conference on Social and Political Sciences, HICOSPOS 2019, 21-22 October 2019, Makassar, Indonesia. https://doi.org/10.4108/eai.21-10-2019.2291554
  17. Panagiotopoulos, P., Bigdeli, A. Z., & Sams, S. (2014). Citizen–government collaboration on social media: The case of Twitter in the 2011 riots in England. Government Information Quarterly, 31(3), 349–357. Retrieved from https://www.sciencedirect.com/science/article/pii/S0740624X14000847
  18. Riquelme, F., & González-Cantergiani, P. (2016). Measuring user influence on Twitter: A survey. Information Processing & Management, 52(5), 949–975. https://doi.org/10.1016/J.IPM.2016.04.003
  19. Rogers, E. M., & L. Kincaid. (1981). Communication Network: Toward A New Paradigm for Research. London: Collier Macmillan Publishers.
  20. Scott. (2000). Social Network Analysis: A Hand Book (Second). California: SAGE Publications Inc.
  21. Uhl, A., Kolleck, N., & Schiebel, E. (2017). Twitter data analysis as contribution to strategic foresight-The case of the EU Research Project “Foresight and Modelling for European Health Policy and Regulations” (FRESHER). European Journal of Futures Research, 5(1). https://doi.org/10.1007/s40309-016-0102-4
  22. Wasserman, S., and Faust, K. (1997). Social network analysis: Methods and applications, Cambridge University Press, Cambridge, U.K.

Similar Articles

You may also start an advanced similarity search for this article.