Social Media Analytics: Data Utilization of Social Media for Research
The amount of production data generated by social media opportunities that can be exploited by various parties, both government and private sectors to produce the information. Social media data can be used to know the behavior and public perception of the phenomenon or a particular event. To obtain and analyze social media data needed depth knowledge of Internet technology, social media, databases, data structures, information theory, data mining, machine learning, until the data and information visualization techniques. In this research, social media analysis on a particular topic and the development of prototype devices software used as a tool of social media data retrieval or retrieval of data applications. Social Media Analytics (SMA) aims to make the process of analysis and synthesis of social media data to produce information can be used by those in need. SMA process is done in three stages, namely: Capture, Understand and Present. This research is exploratorily focused on understanding the technology that became the basis of social media using various techniques exist and is already used in the study of social media analytic previously.
A. J. Bradley. (2010) Becoming a social organization: Taking a strategic approach to social media. Gartner Inc.
A. Culotta. (2010) Towards detecting inuenza epidemics by analyzing twitter messages, in Proceedings of the First Workshop on Social Media Analytics (SOMA10), Association for Computing Machinery. Association for Computing Machinery, 2010, pp. 115122.
Alexa.com. (2015) Alexa internet. twitter.com. [Online]. Available: http://www.alexa.com/siteinfo/ twitter.com
Antony. (2008) What is social media? Icrossing.
C. Holsapple, S. Hsiao, and R. Pakath. (2014) Business social media analytics: Denition, benefits, and challenges, in Proceedings of the 20th Americas Conference on Information Systems (AMCIS2014), Association for Information Systems. Association for Information Systems.
C. Corley, D. Cook, A. Mikler, and K. Singh. (2010) Using web and social media for inuenza surveillance, in Advances in Computational Biology, ser. Advances in Experimental Medicine and Biology, H. Arabnia, Ed. New York: Springer, vol. 680, pp. 559564.
D. Zeng, H. Chen, R. Lusch, and S.-H. Li. (2010) Social media analytics and intelligence, Intelligent Systems, IEEE, vol. 25, no. 6, pp. 1316.
Global Web Index. (2014) Survei data global web index. [Online]. Available: https://www. globalwebindex.net/
Gartner Reasearch, Social analytics. [Online]. Available: http://www.gartner.com/ it-glossary/social- analytics
H. Carneiro and E. Mylonakis. (2009) Google trends: a web-based tool for real-time surveillance of disease outbreaks, vol. 49, no. 10, pp. 15571564.
J. Cranshaw, R. Schwartz, J. Hong, and N. Sadeh. (2012) The livehoods project: Utilizing social media to understand the dynamics of a city, in Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media (ICWSM) 2012, Association for the Advancement of Articial Intelligence. Association for the Advancement of Articial Intelligence, June 2012.
J. Sterne and D. M. Scott. (2010) Social Media Metrics: How to Measure and Optimize Your Marketing Investment. John Wiley, March.
Kominfo.go.id. retrived September, 2017 from: http://kominfo.go.id
M. Paul and M. Dredze. (2011) You are what you tweet: Analyzing twitter for public health, in Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM) 2011, Association for the Advancement of Articial Intelligence. Association for the Advancement of Articial Intelligence, 2011, pp. 265272.
M. Neppelenbroek, M. Lossek, R. Janssen, and T. de Boer. (2011) Twitter an architectural review.
Negara, E.S. and Andryani, R., 2018. A Review on Overlapping and Non-Overlapping Community Detection Algorithms for Social Network Analytics. Far East Journal of Electronics and Communications, 18 (1), 1-27
Negara, E.S., Kerami, D., Wiryana, M., Kusuma, TM. 2017. Researchgate data analysis to measure the strength of Indonesian research. Far East Journal of Electronics and Communications, 17 (5), 1177-1183
R. T. Fielding and R. N. Taylor. (2002) Principled design of the modern web architecture, ACM Transactions on Internet Technology (TOIT), vol. 2, no. 2, pp. 115150.
R. Brussee and E. t. Hekman. (2015) Social media are highly accessible media.
S. Kumar, F. Morstatter, and H. Liu. (2013) Twitter Data Analytics. [Online]. Available: www. tweettracker.fulton.asu.edu
S. Stieglitz and D. Linh. (2013) Social media analytics and political communication; a social media analytics framework, Social Network Analysis and Mining, vol. 3, no. 4, pp. 12771291.
UN Global Pulse. (2014) Mining indonesian tweets to understand food price crises, UN Global Pulse, Methods Paper.
W. Fan and M. D. Gordon. (2014) The power of social media analytics, Communications of the ACM, vol. 57, no. 6, pp. 7481.
W. Fan, L. Wallace, S. Rich, and Z. Zhang. (2006) Tapping the power of text mining, Communications of the ACM, vol. 49, no. 9, pp. 7682.
X. Long, L. Jin, and J. Joshi. (2012) Exploring trajectorydriven local geographic topics in foursquare, in Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp12), Association for Computing Machinery. Pittsburgh, United States: Association for Computing Machinery, 2012, pp. 927934.
Negara, E. S., Andryani, R., & Saksono, P. H. (2016). Analisis Data Twitter: Ekstraksi dan Analisis Data G eospasial. INKOM Journal, 10(1), 27-36.
Antoni, D., Negara, E. S., & Suweno, S. (2015). Ekstraksi Data Geo-Spatial Twitter (Studi Kasus: Badan Penyelenggara Jaminan Sosial Kesehatan).
Download PDF: 24 times
- I certify that I have read, understand and agreed to the Journal of Information System and Informatics submission guidelines, policies and submission declaration. Submission already using the provided template.
- I certify that all authors have approved the publication of this and there is no conflict of interest.
- I confirm that the manuscript is the authors' original work and the manuscript has not received prior publication and is not under consideration for publication elsewhere and has not been previously published.
- I confirm that all authors listed on the title page have contributed significantly to the work, have read the manuscript, attest to the validity and legitimacy of the data and its interpretation, and agree to its submission.
- I confirm that the paper now submitted is not copied or plagiarized version of some other published work.
- I declare that I shall not submit the paper for publication in any other Journal or Magazine till the decision is made by journal editors.
- If the paper is finally accepted by the journal for publication, I confirm that I will either publish the paper immediately or withdraw it according to withdrawal policies.