scholarly journals Identifying Opinion Leaders in Time-Dependent Commercial Social Networks

2012 ◽  
pp. 571-581 ◽  
Author(s):  
Antonio P. Volpentesta ◽  
Alberto M. Felicetti
Keyword(s):  
Social Networks ◽  
Opinion Leaders ◽  
Time Dependent

scholarly journals Improved Leach algorithm for detecting opinion leaders in social networks

2020 ◽  
Author(s):  
Yasser Elmi
Keyword(s):  
Social Networks ◽  
Opinion Leaders ◽  
Correlation Degree ◽  
Common Application

<p>The most important features of the proposed method include: 1) introducing an innovation in Leach algorithm and applying it in a different field from its common application, 2) using standard centrality indicators to calculate the correlation degree in order to improve the identification of opinion leaders in social networks, 3)this algorithm is completely automatic and works without operator intervention.</p>

Features of Influence of Opinion Leaders on Consumers

2021 ◽  
Vol 1 (59) ◽  
Author(s):  
Aizhana Maldynova
Keyword(s):  
Social Networks ◽  
Quantitative Research ◽  
Online Marketing ◽  
Opinion Leaders ◽  
Social Connections ◽  
Daily Routine ◽  
Motivating Factors ◽  
Theoretical Significance ◽  
Use Of Social Media ◽  
First Time

With the advent and active development, social networks have gained the attention of a million audience. Now it is difficult to imagine a person who does not have a profile in at least one social network. The use of social media has become a daily routine: some use sites and applications to maintain existing social connections, others - to find people with similar interests, views, activities or other motivating factors [1]. The purpose of this study is to establish the factors that influence the level of perception of the message by the audience in social networks. In this work, a quantitative research method is used. The relationships were established using correlation analysis. To analyze the data obtained, the SmartPLS software was used, which makes it possible to highlight the characteristics that have the greatest impact on the manifestation of initiative behavior. The novelty of the research lies in the fact that for the first time the factors influencing the level of perception of messages from Kazakhstani opinion leaders by the audience in social networks were studied. The results of this study are of high theoretical significance, as they can be used in teaching disciplines such as Internet marketing, digital marketing, consumer behavior and strategic marketing. In addition, this study is notable for its practical benefits, since the conclusions drawn contribute to the formation of a competent online marketing strategy in the enterprise

scholarly journals A Trustworthy SIoT Aware Mechanism as an Enabler for Citizen Services in Smart Cities

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 918 ◽  
Author(s):  
Ateeq Ur Rehman ◽  
Rizwan Ali Naqvi ◽  
Abdul Rehman ◽  
Anand Paul ◽  
Muhammad Tariq Sadiq ◽  
...  
Keyword(s):  
Social Networks ◽  
Information And Communication Technologies ◽  
Online Social Networks ◽  
Information Technologies ◽  
Smart Cities ◽  
Trust Model ◽  
Human Interaction ◽  
Opinion Leaders ◽  
Local Cluster ◽  
Information And Communication

In the recent era, new information technologies have a significant impact on social networks. Initial integration of information and communication technologies (ICT) into city operations has promoted information city, ease of communication and principles of smart communities. Subsequently, the idea of the Internet of Things (IoT) with the specific focus of social IoT (SIoT) has contributed towards the smart cities (SC), which support the city operations with minimal human interaction. The user-generated data obtained by SIoT can be exploited to produce new useful information for creating citizen-centered smart services for SC. The aim of this research is twofold. Firstly, we used the concept of local and global trust to provide new services in SC based on popular online social networks (OSN) data used by the citizens. Secondly, the sustainability of the three different OSN is assessed. This paper investigates the social network domain with regard to the SC. Although in SC, OSN are increasing day by day, there is still an unresolved issue of trust among their users and also OSN are not much sustainable. In this research, we are analyzing the sustainability of different OSN for the SC. We employ datasets of three different social networks for our analyses. A local trust model is used to identify the central user within the local cluster while the global trust-based framework is used to identify the opinion leaders. Our analysis based on the datasets of Facebook, Twitter, and Slashdot unveil that filtration of these central-local users and opinion leaders result in the dispersion and significant reduction in a network. A novel model is being developed that outlines the relationship between local and global trust for the protection of OSN users in SC. Furthermore, the proposed mechanism uses the data posted by citizens on OSN to propose new services by mitigating the effect of untrusted users.

scholarly journals Research on the discovery of opinion leaders in social networks

2019 ◽  
Vol 563 ◽  
pp. 032009
Author(s):  
Chufeng Zhou ◽  
Xinxin Guan ◽  
Yeli Li ◽  
Qingtao Zeng
Keyword(s):  
Social Networks ◽  
Opinion Leaders

Emergence and Robustness of a Community Discussion Network on Mercury Contamination and Health in the Brazilian Amazon

2006 ◽  
Vol 35 (4) ◽  
pp. 509-521 ◽  
Author(s):  
Frédéric Mertens ◽  
Johanne Saint-Charles ◽  
Marc Lucotte ◽  
Donna Mergler
Keyword(s):  
Social Networks ◽  
Structural Properties ◽  
Participatory Research ◽  
Development Process ◽  
Brazilian Amazon ◽  
Opinion Leaders ◽  
Mercury Contamination ◽  
Large Network ◽  
Flow Of Information

Information exchanges, debates, and negotiations through community social networks are essential to ensure the sustainability of the development process initiated in participatory research. The authors analyze the structural properties and robustness of a discussion network about mercury issues in a community in the Brazilian Amazon involved in a participatory research aimed at reducing exposure to the pollutant. Most of the villagers are connected in a large network and are separated from other individuals by few intermediaries. The structure of the discussion network displays resilience to the random elimination of villagers but shows vulnerability to the removal of one villager who has been a long-term collaborator of the project. Although the network exhibits a structure likely to favor an efficient flow of information, results show that specific actions should be taken to stimulate the emergence of a pool of opinion leaders and increase the redundancy of discussion channels.

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