Abstract
Story-based contents (e.g., novel, movies, and computer games) have been dynamically transformed into various media. In this environment, the contents are not complete in themselves, but closely connected with each other. Also, they are not simply transformed form a medium to other media, but expanding their stories. It is called as a transmedia storytelling, and a group of contents following it is called as a transmedia ecosystem. Since the contents are highly connected in terms of the story in the transmedia ecosystem, the existing content analysis methods are hard to extract relationships between the contents. Therefore, a proper content analysis method is needed with considering expansions of the story. The aim of this work is to understand how (and why) such contents are transformed by i) defining the main features of the transmedia storytelling and ii) building the taxonomy among the transmedia patterns. More importantly, computational transmedia ecosystem is designed to process a large number of the contents, and to support high understandability of the complex transmedia patterns.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Aarseth E (2006) The culture and business of cross-media productions. Pop Commun 4(3):203–211
Boutemedjet S, Ziou D (2008) A graphical model for context-aware visual content recommendation. IEEE Trans Multimedia 10(1):52–62
Brooker W (2009) All our variant futures: the many narratives of blade runner: the final cut. Pop Commun 7(2):79–91
Chunwijitra S, Berena AJ, Okada H, Ueno H (2013) Advanced content authoring and viewing tools using aggregated video and slide synchronization by key marking for web-based e-learning system in higher education. IEICE Trans Inf Syst E96-D(8):1754–1765
Du J, Xu H, Huang X (2014) Box office prediction based on microblog. Expert Syst Appl 41(4):1680–1689
Fienberg SE (2010) The prehistory of the center for statistics and the social sciences, with a prequel and epilogue. Stat Methodol 7(3):175–186
Harvey CB (2015) Fantastic Transmedia, chap. of Hobbits and Hulks: Adaptation Versus Narrative Expansion, pp 63–92 Palgrave Macmillan UK
Jenkins H (2006) Convergence Culture: Where Old and New Media Collide New York University Press
Jung JJ, You E, Park S (2013) Emotion-based character clustering for managing story-based contents: a cinemetric analysis. Multimedia Tools Appl 65(1):29–45
Krizanovich K (2010) The reboot: Franchise rejuvenation in the film-product life cycle. Ph.D. thesis City University, London
Long GA (2007) Transmedia storytelling: Business, aesthetics and production at the jim henson company. Ph.D. thesis Massachusetts Institute of Technology
Manning S (2005) Managing project networks as dynamic organizational forms: Learning from the tv movie industry. Int J Proj Manag 23(5):410–414
McKee R (1997) Substance, Structure, Style, and the Principles of Screenwriting. HarperCollins, New York
Meixner B, Matusik K, Grill C, Kosch H (2014) Towards an easy to use authoring tool for interactive non-linear video. Multimedia Tools Appl 70(2):1251–1276
Menard D (2015) Entertainment assembled: The marvel cinematic universe, a case study in transmedia. Liverty University, Master’s thesis
Mestyán M, Yasseri T, Kertész J (2013) Early prediction of movie box office success based on wikipedia activity big data. PLoS ONE 8(8):e71,226
Moon S, Bergey PK, Iacobucci D (2010) Dynamic effects among movie ratings, movie revenues, and viewer satisfaction. J Mark 74(1):108–121
Phillips A (2012) A creators guide to transmedia storytelling:how to captivate and engage audiences across multiple platforms McGraw Hill Professional
Pratten R (2011) Getting started in transmedia storytelling: A practical guide for beginners CreateSpace
Scolari CA (2009) Transmedia storytelling: Implicit consumers, narrative worlds, and branding in contemporary media production. Int J Commun 3:586–606
Sharda R, Delen D (2006) Predicting box-office success of motion pictures with neural networks. Expert Syst Appl 30(2):243?254
Shmueli E, Kagian A, Koren Y, Lempel R (2012) Care to comment?: recommendations for commenting on news stories. In: Proceedings of the 21st international conference on World Wide Web, pp 429-438. ACM, ACM New York, Lyon, France
Tryon C (2013) Reboot cinema. Convergence: The International Journal of Research into New Media Technologies, vol 19
Xia F, Asabere NY, Ahmed AM, Li J, Kong X (2013) Mobile multimedia recommendation in smart communities: A survey. IEEE Access 1:606–624
Acknowledgements
This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2015S1A5B6037297).
Author information
Authors and Affiliations
Corresponding author
Additional information
These authors are equally contributed to this paper.
Rights and permissions
About this article
Cite this article
Jung, J.E., Lee, OJ., You, ES. et al. A computational model of transmedia ecosystem for story-based contents. Multimed Tools Appl 76, 10371–10388 (2017). https://doi.org/10.1007/s11042-016-3626-5
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-016-3626-5