Trusted Social Node: Evaluating the Effect of Trust and Trust Variance to Maximize Social Influence in a Multilevel Soci
The use of social networking sites has been very successful on large-scale information sharing. Hence, a vast proposed application possibilities for different people and organizations emerged. Although the use of social networking sites nowadays for large
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Abstract. The use of social networking sites has been very successful on large-scale information sharing. Hence, a vast proposed application possibilities for different people and organizations emerged. Although the use of social networking sites nowadays for large scale information sharing and the spreading of messages on these platforms is considerably effective, this research hypothesizes that trust is able to increase the rate of successfully influenced social nodes. Trust is the fundamental motivation that people cooperates towards a common purpose. This paper discusses trust - a measure of belief and disbelief using experimental simulation to evaluate and compare on the rate of successfully influenced social nodes based on the Trusted Social Node (TSN). This paper considers trust variance and social node impact factor in the Genetic Algorithm Diffusion Model (GADM) to analyze on its successful influential rate with and without the presence of trust in the algorithm. Results produced are a set of influential diffusion time graph where the graph shows there are incremental rate of successfully influenced social nodes with the presence of trust metrics. Keywords: Trusted social node Influential strength Multilevel influential diffusion Belief and disbelief
Trusted influence
1 Introduction Social networking sites have tremendously changed the way people around the globe connect to each other. Social networking sites play an important and fundamental role at spreading information, news or ideas to all the connected nodes. This can be achieved by influencing current and new nodes within the social networking environment. Many readers and consumers today rely extensively on information obtained from social networking sites which significantly influence one’s decision. Such issue has presented a great concern to business operators because the information spreading around social networking sites may change the viewpoint of an individual if the influences spreading from one social node is not what is desired. Contents on the social networking sites influence one’s decision in numerous ways. This include reviews, guides and word-of-mouth. Social networking sites create an endless source of © Springer International Publishing Switzerland 2016 O. Gervasi et al. (Eds.): ICCSA 2016, Part IV, LNCS 9789, pp. 530–542, 2016. DOI: 10.1007/978-3-319-42089-9_37
Trusted Social Node: Evaluating the Effect of Trust
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information that is readily available to the world of research. With most of the social networking sites’ users have accessed to enormous amount of material, it is acknowledged that not all contents are necessarily reliable. Trust has always been investigated in this context. Various studies were conducted by many researchers [1–4], their works showed that trust played a key role in affecting one’s decision. By simulating influence diffusion within a social networking site, they found that there are still much work to be studied on online user generated contents and their credibility assessment. Motivate
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