Abstract
This article presents the models and methods for organization of virtual community life cycle. Organization of virtual community life cycle is necessary for the successful and effective creation of the virtual community. The virtual life cycle model of the virtual community based on analysis of the life cycles of related branches of knowledge, information content and users by including in the model a number of special stages and directions of virtual community life cycle organization is developed. This model helps structure the project execution challenges faced by developers of virtual communities. A model for organizing the life cycle of a virtual community based on Petri network is developed. Model to map the links between elements and improve the organization of parallel life cycle processes is used for improving the effectiveness of community management. The method of formation of planned indicators is developed, and formal criteria for the identification of critical and important indicators are constructed to prevent an imbalance during the formation of a planned indicator of the tasks of the virtual community life cycle organization. The developed models and methods reduce the number of executors, financial and time costs, and improve the overall process of creating a virtual community.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Azizifard, N.: Social network clustering. Int. J. Inf. Technol. Comput. Sci. (IJITCS) 6(1), 76–81 (2014). https://doi.org/10.5815/ijitcs.2014.01.09
Syerov, Y., Fedushko, S., Loboda, Z.: Determination of development scenarios of the educational web forum. In: Proceedings of the XIth International Scientific and Technical Conference (CSIT 2016), Lviv, pp. 73–76 (2016)
Korobiichuk, I., Fedushko, S., Juś, A., Syerov, Y.: Methods of determining information support of web community user personal data verification system. In: Automation (2017)
ICA: Advances in Intelligent Systems and Computing, vol. 550, pp. 144–150. Springer (2017)
Mottaghi, S., Farhadi, F., Dokohaki, S., Farhadi, M.M.: Artificial intelligence design waterfronts and particular places management to improve relationships between people. Int. J. Intell. Syst. Appl. (IJISA) 5(9), 58–66 (2013). https://doi.org/10.5815/ijisa.2013.09.07
Hu, Z., Gnatyuk, S., Koval, O., Gnatyuk, V., Bondarovets, S.: Anomaly detection system in secure cloud computing environment. Int. J. Comput. Netw. Inf. Secur. (IJCNIS) 9(4), 10–21 (2017). https://doi.org/10.5815/ijcnis.2017.04.02
Hu, Z., Khokhlachova, Y., Sydorenko, V., Opirskyy, I.: Method for optimization of information security systems behavior under conditions of influences. Int. J. Intell. Syst. Appl. (IJISA) 9(12), 46–58 (2017). https://doi.org/10.5815/ijisa.2017.12.05
Hu, Z., Gnatyuk, V., Sydorenko, V., Odarchenko, R., Gnatyuk, S.: Method for cyber incidents network-centric monitoring in critical information infrastructure. Int. J. Comput. Netw. Inf. Secur. (IJCNIS) 9(6), 30–43 (2017). https://doi.org/10.5815/ijcnis.2017.06.04
Howard, R.: How to: manage a sustainable online community (electronic resource). Mode of access: http://mashable.com/2010/07/30/sustainable-online-community/
Sihare, S.R.: Roles of E–content for E–business: analysis. Int. J. Inf. Eng. Electron. Bus. (IJIEEB) 10(1), 24–30 (2018). https://doi.org/10.5815/ijieeb.2018.01.04
Kraut, R., Resnick, P.: Building Successful Online Communities: Evidence-Based Social Design Massachusetts Institute of Technology. MIT Press, p. 283 (2012)
Peleshchyshyn, A., Mastykash, O.: Analysis of the methods of data collection on social networks. In: Proceedings of the XIth International Scientific and Technical Conference “Computer Sciences and Information Technologies” (CSIT-2017), Lviv, 05–08 Sept 2017, pp. 89–91
Trach, O., Peleshchyshyn, A.: Development of directions tasks indicators of virtual community life cycle organization. In: Proceedings of the XIth International Scientific and Technical Conference “Computer Sciences and Information Technologies” (CSIT-2017), pp. 127–130 (2017)
Trach, O., Peleshchyshyn, A.: Functional-network model of tasks performance of virtual communication life cycle directions. In: Proceedings of the XIth International Scientific and Technical Conference ‘Computer Science and Information Technology’ (CSIT 2016), pp. 108–110 (2016)
Narayanan, M., Cherukuri, A.K.: Verification of cloud based information integration architecture using colored Petri nets. Int. J. Comput. Netw. Inf. Secur. (IJCNIS) 10(2), 1–11 (2018). https://doi.org/10.5815/ijcnis.2018.02.01
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Trach, O., Peleshchyshyn, A. (2020). Development of Models and Methods of Virtual Community Life Cycle Organization. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education II. AIMEE2018 2018. Advances in Intelligent Systems and Computing, vol 902. Springer, Cham. https://doi.org/10.1007/978-3-030-12082-5_43
Download citation
DOI: https://doi.org/10.1007/978-3-030-12082-5_43
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12081-8
Online ISBN: 978-3-030-12082-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)