ADOPSI SOCIAL NETWORK ANALYSIS (SNA) DALAM UPAYA MEMBANGUN KETANGGUHAN BENCANA di MASYARAKAT
Abstract
Pembangunan ketangguhan bencana merupakan strategi untuk kesiapan bencana. Ketangguhan masyarakat, dalam istilah sosiologis, adalah kemampuan komunitas atau sosial unit untuk menahan guncangan eksternal, seperti bencana, terhadap infrastrukturnya. Peningkatan inkremental dalam ketangguhan dapat secara signifikan meningkatkan kapasitas komunitas untuk mempersiapkan, menanggapi, dan memulihkan diri dari bencana. Kecepatan komunitas dapat memobilisasi dan menggunakan sumber daya selama dan setelah bencana sangat tergantung pada kemampuannya untuk beradaptasi dengan perubahan. Kekuatan jejaring sosial adalah faktor utama yang akan membangunkan dari keterpurukan pasca bencana. SNA (Social Network Analysis) merupakan suatu teknik untuk memetakan dan mengukur relasi dan komunikasi yang terjadi antar manusia, kelompok, organisasi, komputer ataupun entitas yang memproses suatu informasi. SNA dapat diterapkan selama semua fase siklus bencana. Adopsi SNA memiliki potensi untuk merevolusi cara organisasi dan masyarakat berfungsi secara umum, dan mempersiapkan dan menanggapi bencana secara spesifik.
Full Text:
PDF (Bahasa Indonesia)References
Alamsyah, Andry, and Budi Rahardjo. 2013. “Financial Fraud Detection Using Social Network Analysis.†(July).
Cheong, France, and Business It. 2011. “Social Media Data Mining: A Social Network Analysis of Tweets During The Australian 2010 – 2011 Floods.â€
Girvan, M, and M E J Newman. 2002. “Community Structure in Social and Biological Networks.†PNAS 99(12).
Hansen, Derek L. et al. 2012. “Do You Know the Way to SNA?: A Process Model for Analyzing and Visualizing Social Media Network Data.†2012 International Conference on Social Informatics (SocialInformatics): 304–13. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper .htm?arnumber=6542455 (December 30, 2014).
Irma Yuliana, P.Insap Santosa, Noor Akhmad, Sukirman. 2017. “Finding The Most Important Actor in Online Crowd.†IOP 9(1): 533–39.
Kular, Dalwinderjeet Kaur, Ronaldo Menezes, and Eraldo Ribeiro. 2011. “Using Network Analysis to Understand the Relation between Cuisine and Culture.†Proceedings of the 2011 IEEE 1st International Network Science Workshop, NSW 2011: 38–45.
Missaoui, Rokia, and Idrissa Sarr. Social Network Analysis – Community Detection and Evolution.
Park, Kyoung-Jin, and Alper Yilmaz. 2010. “Social Network Approach to Analysis of Soccer Game.†2010 20th International Conference on Pattern Recognition: 3935–38. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper .htm?arnumber=5597672 (December 30, 2014).
Shang, Xufeng, and Yubo Yuan. 2012. “Social Network Analysis in Multiple Social Networks Data for Criminal Group Discovery.†2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery: 27–30. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper .htm?arnumber=6384940 (December 30, 2014).
Tayebi, M. a., and U. Glasser. 2012. “Investigating Organized Crime Groups: A Social Network Analysis Perspective.†2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining: 565–72. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper .htm?arnumber=6425708 (December 30, 2014).
Wei, Kang, and Wen-wu Wen. 2011. “Research on Emergency Information Management Based on the Social Network Analysis Üü A Case Analysis of Panic Buying of Salt.†: 1302–10.
Zachary, Wayne W, and Wayne W Zachary. 2009. “Flow Modelfor Conflict An Information Fission in Small Groups1.†33(4): 452–73.
Zelenkauskaite, Asta, Nik Bessis, Stelios Sotiriadis, and Eleana Asimakopoulou. 2012. “Interconnectedness of Complex Systems of Internet of Things through Social Network Analysis for Disaster Management.†2012 Fourth International Conference on Intelligent Networking and Collaborative Systems: 503–8. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper .htm?arnumber=6337971 (December 29, 2014).
DOI: https://doi.org/10.33387/jiko.v2i2.1312
Refbacks
- There are currently no refbacks.