An Empirical Study of Social Network Activities via Social Internet of Things (SIoT)

Chung, Kuo Cheng; Liang, Silvia Wan-Ju

doi:10.1109/access.2020.2978151

Cited by 13 publications

(6 citation statements)

References 43 publications

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“…People can share and obtain knowledge on the knowledge sharing platform anytime and anywhere. Scholars majorly focus on the motivation and the influencing factors of knowledge sharing behavior, including individual cognition [4]- [5], interpersonal interaction [6]- [7], and organizational context. Nov et al [8] study people's motivation to share knowledge from the perspective of social capital theory.…”

Section: A Online Knowledge Sharingmentioning

confidence: 99%

Advertisements on Knowledge Payment Platforms: A Game Theoretic Analysis of Pricing Strategies

Guan

Xie

2022

IEEE Access

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Most knowledge payment platforms are keen to adopt a business model based on transaction revenue and advertising revenue. However, challenge with platforms has been to balance the interests of advertisers as well as their consumers. Increasing of advertising revenue, by having more advertisers may lead to higher consumers' aversion. To address these queries, we develop a three-sided model to study the optimal pricing strategy of the knowledge payment platform. Specifically, we discuss the impact of the proportion of transaction fees charged by the platform on platform's strategy under which the platform charges transaction fees from consumers and advertising fees from advertisers. We find that when the proportion of transaction fees charged by the platform is at a low level, the platform's profit reaches the maximum. Once the proportion of transaction fees charged by the platform is high, which will have a negative impact on the platform's profit although the platform adopts a strategy of increasing advertising price for advertisers. Besides, we analyze the changes of pricing strategy of knowledge payment platform under different level of network externalities. We find that with the increase of proportion of transaction fees charged by the platform and network externalities, both of the advertising price and platform's profit are more sensitive to the proportion of transaction fees charged by the platform. On the contrary, as the degree of consumers' aversion to advertisements increases, the platform's profit is less sensitive to the proportion of transaction fees charged by the platform.

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Section: A Online Knowledge Sharingmentioning

confidence: 99%

Advertisements on Knowledge Payment Platforms: A Game Theoretic Analysis of Pricing Strategies

Guan

Xie

2022

IEEE Access

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“…The method proposed in [13] can effectively reduce the impact of malicious recommendation behavior on trust evaluation, but the implementation process is complicated and computationally intensive. Objects in the Social Internet of Things (SIoT) [14,15] interact with each other based on their social behavior, in which any object can be either a service provider or a service consumer. Jafarian et al [16] compared the service query context with the previous query context of other reviewers based on a data mining model, taken into account indicators such as social similarity, service importance, and the residual energy of providers, and considered this issue to a three-dimensional space.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Network Security Mechanism Based on Trust Management in Wireless Sensor Networks

Zheng

Gong

Zhang

2021

Wireless Communications and Mobile Computing

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Wireless sensor network is a key technology in Internet of Things. However, due to the large number of sensor nodes and limited security capability, aging nodes and malicious nodes increase. In order to detect the untrusted nodes in the network quickly and effectively and ensure the reliable operation of the network, this paper proposes a dynamic network security mechanism. Firstly, the direct trust value of the node is established based on its behavior in the regional information interaction. Then, the comprehensive trust value is calculated according to the trust recommendation value and energy evaluation value of other high-trust nodes. Finally, node reliability and management nodes are updated periodically. Malicious nodes are detected and isolated according to the credibility to ensure the dynamic, safe, and reliable operation of the network. Simulation results and analysis show that the node trust value calculated by this mechanism can reflect its credibility truly and accurately. In terms of reliable network operation, the mechanism can effectively detect malicious nodes, with higher detection rate, avoid the risk of malicious nodes as management nodes, reduce the energy consumption of nodes, and also play a defensive role in DOS attacks in wireless sensor networks.

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“…For instance, information or communication technologies focused on peer-to-peer communication, social media or networking supporting social interaction, experience sharing, observations or informal relationships are widely implemented. Many techniques and methods are used in these systems, for instance the development of conceptual models (Raudeliuniene and Davidavicius, 2017), monitoring social network activities (Chung and Liang, 2020) or the establishment of virtual communities of practice (Babajani-Vafsi et al, 2019), to name a few.…”

Section: Classification Of Ict Based On the Type Of Transferred Knowlmentioning

confidence: 99%

Knowledge Management-Enabling Technologies: A Supplementary Classification

Dávideková¹,

Greguš²,

Zanker³

et al. 2020

AIP

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Scientific and technological developments in informatics enable intensive transformation of data into valuable information. Enriched with context, information may be turned into knowledge, allowing organizations to optimize their processes and profile themselves as learning knowledge organizations. Several classifications of knowledge and knowledge management are available in scientific literature and research publications. In this paper the implementation and application of information and communication technology in knowledge management is being assessed from the perspective of synchrony and mutual interaction among collaborating parties. Following the PRISMA scheme, a systematic review procedure using Scopus and Web of Science databases was conducted. Obtained manuscripts underwent manual content analysis. The outcome of this analysis represents the classification of widespread ICTs into diverse categories based on extensive literature research. It specifies an original type of classification by connecting intertwined synchronicity and interaction as the main classification criteria, and it provides examples of commonly used ICTs in business practice. The introduced classification aims to deepen the comprehension of ICTs, which may lead to improved efficiency and/or eligibility of technological implementations and applications of knowledge management based on the undeniably enormous benefits of the use of ICTs in processing of business operations.

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An Empirical Study of Social Network Activities via Social Internet of Things (SIoT)

Cited by 13 publications

References 43 publications

Advertisements on Knowledge Payment Platforms: A Game Theoretic Analysis of Pricing Strategies

Advertisements on Knowledge Payment Platforms: A Game Theoretic Analysis of Pricing Strategies

Dynamic Network Security Mechanism Based on Trust Management in Wireless Sensor Networks

Knowledge Management-Enabling Technologies: A Supplementary Classification

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