Impact of information spread and investment behavior on the diffusion of internet investment products

Zhao, Narisa; Cheng, Xiaokang; Guo, Xianda

doi:10.1016/j.physa.2018.08.075

Cited by 12 publications

(9 citation statements)

References 24 publications

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“…The formation of new businesses and investments in emerging workplaces mainly aff ects the numbers of jobs in the region, which in turn improves the public mood. Their behaviours are strongly connected with business information spread in local community and social networks (for instance as RSBC) (Zhao, 2018).…”

Section: Types Of Entities Involved In Shaping Directions Of City Devmentioning

confidence: 99%

Planning Cities Development Directions with the Application of Sentiment Analysis

Jelonek¹,

Stępniak²,

Turek³

et al. 2020

Prague Economic Papers

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The aim of the article is to present a model of sentiment analysis tool application for planning directions of city development. The study presents a model of using sentiment analysis to build city development strategies as well as realization of projects related to it. The presented model is a part of a larger work on developing the concept of the Regional Spatial Business Community (RSBC). The RSBC is created on the basis of electronic communities built by stakeholders involved in the development of a given city. On the basis of surveys, a six-stage city development procedure is proposed. Using the aforementioned procedure, we describe potential data sources, the goals of sentiment analysis application and expected effects. Analyses of the applicability of sentiment analysis are made on the basis of observation of available tools. The obtained model is applicable; however, its implementation requires certain conditions to be met.

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Section: Types Of Entities Involved In Shaping Directions Of City Devmentioning

confidence: 99%

Planning Cities Development Directions with the Application of Sentiment Analysis

Jelonek¹,

Stępniak²,

Turek³

et al. 2020

Prague Economic Papers

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“…In regard with the diffusion of investment decisions of Internet investment products, in [20], the author observed the epidemic diffusion of a Ponzi scheme caused by word-ofmouth communication, and in [21,22] the authors explored the diffusion features of a Ponzi scheme using epidemic mechanism, where potential investors, investors and divestors were considered. In [23], the authors introduced a two-stage epidemic diffusion model of an Internet investment product, where the spread of information and investment decisions were studied. In this paper, we extend Zhao et al's work [23] and apply the epidemic contagion mechanism to examine how a network community structure may influence the dynamics of investment trends.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In [23], the authors introduced a two-stage epidemic diffusion model of an Internet investment product, where the spread of information and investment decisions were studied. In this paper, we extend Zhao et al's work [23] and apply the epidemic contagion mechanism to examine how a network community structure may influence the dynamics of investment trends.…”

Section: Literature Reviewmentioning

confidence: 99%

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Modelling the Diffusion of Investment Decisions on Modular Social Networks

Cheng

Zhao

2020

Complexity

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In the financial market, information and investment behaviors disseminate in investor social networks, and different contagion patterns may cause diverse investment trends. Prior studies have investigated the impact of investor social networks, but few have considered community structure. In this paper, we study the impact of the community structure of investor social networks on the diffusion of internet investment products. A two-stage diffusion model is proposed, and the clustering coefficient and modularity of an investor social network are considered. The results show that both modularity and the clustering coefficient have an impact on the diffusion velocity and scale and that the impact is most evident at the stage of explosive growth. The negative influence of a large modularity can be hardly mitigated by adjusting other factors. Furthermore, a decrease in modularity and an increase in the clustering coefficient can better facilitate diffusion when the temporary investment rate is high and can partly offset the negative impact of information discarding and divestment.

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“…So, when analyzing social networks, economists receive information about transactions, about the influence of others on human behavior, while political scientists investigate the formation of political preferences. Marketers use social networks to promote advertising and products [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Study of Strategies for Disseminating Information in Social Networks Using Simulation Tools

Usanin

Zimin

Zamyatina

2021

Lecture Notes in Computer Science

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The paper presents simulation tools for investigation not only the structural characteristics of social networks in order to study information dissemination strategies, but also the dynamic characteristics of this process. A feature of this software system is not only the ability to work with virtual social networks, but also with data from real networks. To collect data about a real social network, a special software agent has been developed. An ontological approach is used to store data about real network.

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Impact of information spread and investment behavior on the diffusion of internet investment products

Cited by 12 publications

References 24 publications

Planning Cities Development Directions with the Application of Sentiment Analysis

Planning Cities Development Directions with the Application of Sentiment Analysis

Modelling the Diffusion of Investment Decisions on Modular Social Networks

Study of Strategies for Disseminating Information in Social Networks Using Simulation Tools

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