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1. Twitter's Tweet Method Modelling and Simulation.

Author

Sarlis, Apostolos S., Sakas, Damianos P., and Vlachos, D. S.

Subjects
*ONLINE social networks, *MATHEMATICAL models, *COMPUTER simulation, *SOCIAL media
Abstract

This paper seeks to purpose the concept of Twitter marketing methods. The tools that Twitter provides are modelled and simulated using iThink in the context of a Twitter media-marketing agency. The paper has leveraged the system's dynamic paradigm to conduct Facebook marketing tools and methods modelling, using iThink™ system to implement them. It uses the design science research methodology for the proof of concept of the models and modelling processes. The following models have been developed for a twitter marketing agent/company and tested in real circumstances and with real numbers. These models were finalized through a number of revisions and iterators of the design, develop, simulate, test and evaluate. It also addresses these methods that suit most organized promotion through targeting, to the Twitter social media service. The validity and usefulness of these Twitter marketing methods models for the day-to-day decision making are authenticated by the management of the company organization. It implements system dynamics concepts of Twitter marketing methods modelling and produce models of various Twitter marketing situations. The Tweet method that Twitter provides can be adjusted, depending on the situation, in order to maximize the profit of the company/agent. [ABSTRACT FROM AUTHOR]

Published
2015
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2. A meme propagation model to combine social affirmation with meme attractiveness and persistence.

Author

Zheng, Aiguo, Luo, Shuangling, and Xia, Haoxiang

Subjects
*ONLINE social networks, *MATHEMATICAL models, *COMPUTER simulation, *COMBINATORICS, *CONTAGION (Social psychology)
Abstract

The propagation of memes on online social networks often depends on the mechanism of social affirmation. Centola termed such social-affirmation-driven diffusion as complex contagion and partly validated it through an online experiment. However, for actual online meme propagation, the mechanism of social affirmation often takes effect in combination with various other factors and mechanisms. In this paper, we examine the combinatorial effects of social affirmation and the attractiveness and persistence of the meme by proposing and analyzing a UACI model, where an agent's activities to receive and transfer a meme is associated with the transition between its four possible states of 'Uninformed', 'Attended','Convinced' and 'Immune'. The numerical simulations illustrate nontrivial patterns of propagation. Especially, it is revealed that the effects of simple and complex contagions co-exist and equilibrate in accordance with the joint functions of meme attractiveness and social affirmation. Furthermore, the low-persistence of the meme hinders the propagation-scale more remarkably on the regular network than on the random one, indicating that the persistence may be critical for retaining complex contagion. [ABSTRACT FROM AUTHOR]

Published
2016
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3. Topological evolution of virtual social networks by modeling social activities.

Author

Sun, Xin, Dong, Junyu, Tang, Ruichun, Xu, Mantao, Qi, Lin, and Cai, Yang

Subjects
*ELECTRIC network topology, *ONLINE social networks, *MATHEMATICAL models, *COMPUTER simulation, *WIRELESS communications, *INTERNET
Abstract

With the development of Internet and wireless communication, virtual social networks are becoming increasingly important in the formation of nowadays’ social communities. Topological evolution model is foundational and critical for social network related researches. Up to present most of the related research experiments are carried out on artificial networks, however, a study of incorporating the actual social activities into the network topology model is ignored. This paper first formalizes two mathematical abstract concepts of hobbies search and friend recommendation to model the social actions people exhibit. Then a social activities based topology evolution simulation model is developed to satisfy some well-known properties that have been discovered in real-world social networks. Empirical results show that the proposed topology evolution model has embraced several key network topological properties of concern, which can be envisioned as signatures of real social networks. [ABSTRACT FROM AUTHOR]

Published
2015
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