scholarly journals Unraveling the Impact of Users’ Interest on Information Dissemination in Wireless Networks

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 32687-32699 ◽  
Author(s):  
Xiaoying Gan ◽  
Zhida Qin ◽  
Luoyi Fu ◽  
Xinbing Wang
Keyword(s):  
Wireless Networks ◽  
Information Dissemination ◽  
The Impact

scholarly journals Influence Model of User Behavior Characteristics on Information Dissemination

2016 ◽  
Vol 11 (2) ◽  
pp. 209 ◽  
Author(s):  
Shao Chun Han ◽  
Yun Liu ◽  
Hui Ling Chen ◽  
Zhen Jiang Zhang
Keyword(s):  
Human Behavior ◽  
Information Diffusion ◽  
Statistical Physics ◽  
Information Dissemination ◽  
User Behavior ◽  
Activity Patterns ◽  
Propagation Model ◽  
Propagation Time ◽  
Behavior Characteristics ◽  
The Impact

Quantitative analysis on human behavior, especially mining and modeling temporal and spatial regularities, is a common focus of statistical physics and complexity sciences. The in-depth understanding of human behavior helps in explaining many complex socioeconomic phenomena, and in finding applications in public opinion monitoring, disease control, transportation system design, calling center services, information recommendation. In this paper,we study the impact of human activity patterns on information diffusion. Using SIR propagation model and empirical data, conduct quantitative research on the impact of user behavior on information dissemination. It is found that when the exponent is small, user behavioral characteristics have features of many new dissemination nodes, fast information dissemination, but information continued propagation time is short, with limited influence; when the exponent is big, there are fewer new dissemination nodes, but will expand the scope of information dissemination and extend information dissemination duration; it is also found that for group behaviors, the power-law characteristic a greater impact on the speed of information dissemination than individual behaviors. This study provides a reference to better understand influence of social networking user behavior characteristics on information dissemination and kinetic effect.

Probabilistic flooding coverage analysis for efficient information dissemination in wireless networks

2018 ◽  
Vol 140 ◽  
pp. 51-61 ◽  
Author(s):  
George Koufoudakis ◽  
Konstantinos Oikonomou ◽  
Konstantinos Giannakis ◽  
Sonia Aïssa
Keyword(s):  
Wireless Networks ◽  
Information Dissemination ◽  
Coverage Analysis ◽  
Efficient Information ◽  
Probabilistic Flooding

Does advertising really work?

2020 ◽  
Vol 28 (3) ◽  
pp. 497-515
Author(s):  
Keke Wu ◽  
Yan Yu ◽  
Dayong Dong
Keyword(s):  
Design Methodology ◽  
Information Dissemination ◽  
Home Bias ◽  
Positive Influence ◽  
Investor Behavior ◽  
Investor Attention ◽  
Content Type ◽  
Market Effect ◽  
The Impact ◽  
Trading Response

Purpose This paper aims to examine the direct and indirect effects of advertising on investor behavior. Design/methodology/approach The authors use a novel and direct measure of investor attention: the number of investors whose watch lists has the stock. Findings The authors find that beyond its direct effect through information dissemination, advertising has an indirect effect with regard to grabbing investor attention and the trading response. The authors further find that an increase in attention induces a positive influence on the impact of advertising on investor behavior. Originality/value First, it complements studies of home bias, in which investors are more likely to buy familiar stocks. Second, it also complements the literature on advertising and investor attention and on attention and capital markets. Third, with a new and unambiguous measure of investor attention. Fourth, combining the direct and indirect aspects, this study presents a detailed description of the financial market effect of advertising.

scholarly journals A Systematic Review of Smart Real Estate Technology: Drivers of, and Barriers to, the Use of Digital Disruptive Technologies and Online Platforms

2018 ◽  
Vol 10 (9) ◽  
pp. 3142 ◽  
Author(s):  
Fahim Ullah ◽  
Samad Sepasgozar ◽  
Changxin Wang
Keyword(s):  
Real Estate ◽  
Information Dissemination ◽  
The State ◽  
Innovative Technology ◽  
Disruptive Technologies ◽  
Online Platforms ◽  
Technology Adoption Model ◽  
Core Components ◽  
Smartphone Technology ◽  
The Impact

Real estate needs to improve its adoption of disruptive technologies to move from traditional to smart real estate (SRE). This study reviews the adoption of disruptive technologies in real estate. It covers the applications of nine such technologies, hereby referred to as the Big9. These are: drones, the internet of things (IoT), clouds, software as a service (SaaS), big data, 3D scanning, wearable technologies, virtual and augmented realities (VR and AR), and artificial intelligence (AI) and robotics. The Big9 are examined in terms of their application to real estate and how they can furnish consumers with the kind of information that can avert regrets. The review is based on 213 published articles. The compiled results show the state of each technology’s practice and usage in real estate. This review also surveys dissemination mechanisms, including smartphone technology, websites and social media-based online platforms, as well as the core components of SRE: sustainability, innovative technology and user centredness. It identifies four key real estate stakeholders—consumers, agents and associations, government and regulatory authorities, and complementary industries—and their needs, such as buying or selling property, profits, taxes, business and/or other factors. Interactions between these stakeholders are highlighted, and the specific needs that various technologies address are tabulated in the form of a what, who and how analysis to highlight the impact that the technologies have on key stakeholders. Finally, stakeholder needs as identified in the previous steps are matched theoretically with six extensions of the traditionally accepted technology adoption model (TAM), paving the way for a smoother transition to technology-based benefits for consumers. The findings pertinent to the Big9 technologies in the form of opportunities, potential losses and exploitation levels (OPLEL) analyses highlight the potential utilisation of each technology for addressing consumers’ needs and minimizing their regrets. Additionally, the tabulated findings in the form of what, how and who links the Big9 technologies to core consumers’ needs and provides a list of resources needed to ensure proper information dissemination to the stakeholders. Such high-quality information can bridge the gap between real estate consumers and other stakeholders and raise the state of the industry to a level where its consumers have fewer or no regrets. The study, being the first to explore real estate technologies, is limited by the number of research publications on the SRE technologies that has been compensated through incorporation of online reports.

The Influence of Leadership and Strategic Emphasis on Social Media Use of Regional Nonprofit Organizations

2017 ◽  
Vol 4 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Debika Sihi
Keyword(s):  
Social Media ◽  
Information Transmission ◽  
Nonprofit Organizations ◽  
Information Dissemination ◽  
Customer Orientation ◽  
Executive Directors ◽  
Strategic Emphasis ◽  
Financial Investments ◽  
Use Of Social Media ◽  
The Impact

Prior work has established the prevalence of social media as an information dissemination tool for large, national nonprofit organizations. This project adds to that literature by examining the impact of an organization's leadership (executive director background and board influence) and strategic emphasis (customer orientation and financial allocations to social media) on the use of social media for information transmission by regional nonprofit organizations. Insights are gained from leadership at 121 nonprofits and through analysis of 377 days of Facebook data for seven nonprofit organizations. The results suggest that organizations with executive directors who have more experience in the corporate sector and board members who exert greater influence are more likely to utilize social media for information transmission. Greater financial investments in social media actually result in less strategic use of social media, suggesting more investment does not always equate to more effective strategy.

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