The development of telecommunications and information technology (IT) has been increasing rapidly, so that technology makes distance no longer a problem in communication, and the Internet becomes one of the media. This development facilitates the dissemination of information. This study aims to describe the pattern of interactions that occur in the network of Ridwan Kamil’s Twitter, to identify actors having a role in supporting Ridwan Kamil’s work program, and to describe the profile of influential actors. The data were collected by using online data obtained from the interaction between Ridwan Kamil with the community during the period of July 16th, 2013 – July 31st, 2015 by limiting the data retrieval using keywords related to Smart City in the form of tweets, reply and retweet, and then calculating the value and ranking of Degree centrality, closeness centrality, betweenness centrality and eigenvector centrality. The data then processed using Social Network Analysis approach. Gephi is the software used to compute and visualize the data. The Results show that Ridwan Kamil’s Twitter contained 1,886 nodes (account) that are involved with 2,814 edges (interaction) that occur in the network. It is concluded that the actor (node) who influences most of the network is dominated by infobdg, DiskominfoBdg, relawan_bdg, Click Bandung, bdg_juara, infobandung, and Pemkot Bandung. Keywords: Social Network Analysis, Centrality, Influencer, Smart City, Twitter
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Citation [APA Style]: Alamanda, D. T., Lastini, B. N., Khairunnisa, & Amani, H. (2016). Actor Identification that Affects Ridwan Kamil’s Work Program for Smart City Using Social Network Analysis. IOSR Journal of Business and Management (IOSR-JBM), 18(4), 48-53.