Self-Revised Opinion Leader List Construction and Influence Analysis

2013 ◽  
Vol 709 ◽  
pp. 642-645 ◽  
Author(s):  
Yi Jing Fu ◽  
Ting Zhang ◽  
Xiao Chang ◽  
Yu Yu Yuan

Weibo is a dominant twitter-like micro-blog media in China, which indicates the trend of social changes in recent years in China. Opinion leaders, in particular, have a marvelous power to influence the thinking of the mass to some extent. In this paper, we propose an innovative model which automatically revises the selection of opinion leader list and analyzes their influence in consideration of the amount of followers and friends and topics such as life, campus, government, public welfare and entertainment. Two-step strategy is applied to our model, namely self-revised opinion leader list construction and VSM-based influence analysis. Experimental results reveal that our model has a good performance on reflecting the analysis of the relationship between authoritative opinion leaders and the mass media.

2020 ◽  
Vol 11 (1) ◽  
pp. 001
Author(s):  
Chien Mu Yeh

Potential tourists search for accommodation information once they decide to travel. Travel opinion leaders are critical accommodation information providers for potential tourists. However, we know little about travel opinion leaders’ perceived importance of accommodation information. The current study examined the relationship between travel opinion leadership and perceived importance of accommodation information. Results showed that there were significant differences in the perception of important accommodation information between the high and low travel opinion leadership groups. These results make theoretical and practical implications for tourism research and accommodation managers.


Author(s):  
Nurita Afridiana ◽  
Abdu Rohman ◽  
Kartika Sugih Ningsih

This study examines the relationship of Opinion Leader postings in Instagram that share information about Zakat towards the Intention of Pay Zakat. In 2030 Indonesia gets demographic bonus with 52.9% of total work force comes from millennials generation. Lembaga Amil Zakat (LAZ) require appropriate promotional strategies to prospective muzakki of the millennials generation. Previous studies showed millennials closely with social media and are easily affected by peers. Pre-test-post test experimental study was conducted using online questionnaire to see the relation of zakat ad education content posted by millennials favoured opinion leader on social media of Instagram on the intention of paying zakat. Opinion leaders used in this research are Ria Ricis as an instagram’s celebrity, Retno Hening as a parenting millennials, Ridwan Kamil as a government figures, and Muzzamil Hasbullah as a religious leaders. By using Theory Planned Behaviour and Source of Credibility, this research examine opinion leader which is effective in increasing intention to pay zakat. From the theory of source of credibility can be known opinion leader who effectively affect the intention to pay zakat from the side of expertise, trustworthiness, and attractiveness. So, this study can provide an insight on the LAZ in the selection of appropriate zakat product endorsers for the millennials generation segment.


Author(s):  
Lin Cui ◽  
Dechang Pi

At present, recognition of micro-blog opinion leaders mainly depends on the number of users posting micro-blogs, registration time, the number of good friends and other static attributes. However, it is very difficult to obtain the ideal recognition results through the above mentioned methods. This paper puts forward a new method that identifies the opinion leaders according to the change of user features and outbreak nodes. Deeply analyzing various attributes and behaviors of users, on the basis of user features and outbreak nodes, user’s attribute features are regarded as the input variables, behavior features of the user and outbreak nodes are regarded as observed variables. The probability as an opinion leader is the latent variable between input variables and observation variables, and the constructed probability model is used to recognize micro-blog opinion leaders. Experiments are carried out on the two real-world datasets from Sina micro-blog and Twitter, and the comparative experimental results show that the proposed model can more precisely find the micro-blog opinion leaders.


2016 ◽  
Vol 13 (1) ◽  
pp. 104-122 ◽  
Author(s):  
Laura Beth Nielsen ◽  
Nehal A. Patel ◽  
Jacob Rosner

This article examines the relationship between law and morality in a selection of animated Disney movies released between 1960 and 1998. The authors analyze all of the fully-animated, G-rated movies that grossed $100 million or more (adjusted for inflation) which shaped the childhood of lawyers practicing today. We find that the predominant representation of the relationship between law and morality is that they are at odds. Law most often is portrayed as having no relationship to morality or, even worse, as an obstacle to justice. These findings have implications for theories of law and morality, justice, and ethics. These findings also raise provocative questions concerning the role of mass media and popular culture on children’s moral development and understanding of the role of law.


2013 ◽  
Vol 846-847 ◽  
pp. 1818-1825
Author(s):  
Xu Yao ◽  
Yu Yang ◽  
Yi Jing Fu ◽  
Yu Lin Li ◽  
Guo Shi Wu

Weibo is a leading twitter-like microblog service in China, acting as the key barometer of social changes. This paper proposes an innovative model, which automatically detects hot issues on Weibo based on social network analysis instead of search-based approaches. Three stages are consecutively collaborated to discover the hot issues and each issue was presented by a group of distinguished keywords as outcome of the model, i.e., firstly self-revised opinion leaders list construction, secondly keywords selection according to a weighting criterion, and finally keyword co-occurrence network building and event detection through community detection on the network.


Author(s):  
А. I. Grabovets ◽  
V. P. Kadushkina ◽  
S. А. Kovalenko

With the growing aridity of the climate on the Don, it became necessary to improve the methodology for conducting the  breeding of spring durum wheat. The main method of obtaining the source material remains intraspecific step hybridization. Crossings were performed between genetically distant forms, differing in origin and required traits and properties. The use of chemical mutagenesis was a productive way to change the heredity of genotypes in terms of drought tolerance. When breeding for productivity, both in dry years of research and in favorable years, the most objective markers were identified — the size of the aerial mass, the mass of grain per plant, spike, and harvest index. The magnitude of the correlation coefficients between the yield per unit area and the elements of its structure is established. It was most closely associated with them in dry years, while in wet years it decreased. Power the correlation of the characteristics of the pair - the grain yield per square meter - the aboveground biomass averaged r = 0.73, and in dry years it was higher (0.91) than in favorable ones (0.61 - 0.70) , between the harvest and the harvest index - r = 0.81 (on average). In dry years, the correlation coefficient increased to 0.92. Research data confirms the greatest importance of the mass of grain from one ear and the plant in the formation of grain yield per unit area in both dry and wet years. In dry years, the correlation coefficient between yield and grain mass per plant was on average r = 0.80; in favorable years, r = 0.69. The relationship between yield and grain mass from the ear was greater — r = 0.84 and r = 0.82, respectively. Consequently, the breeding significance of the aboveground mass and the productivity of the ear, as a criterion for the selection of the crop, especially increases in the dry years. They were basic in the selection.


2018 ◽  
Vol 2 (2) ◽  
pp. 137
Author(s):  
Muhammad Abi Berkah Nadi

Radin Inten II Airport is a national flight in Lampung Province. In this study using the technical analysis stated preference which is the approach by conveying the choice statement in the form of hypotheses to be assessed by the respondent. By using these techniques the researcher can fully control the hypothesized factors. To determine utility function for model forecasting in fulfilling request of traveler is used regression analysis with SPSS program. The analysis results obtained that the passengers of the dominant airport in the selection of modes of cost attributes than on other attributes. From the result of regression analysis, the influence of independent variable to the highest dependent variable is when the five attributes are used together with the R square value of 8.8%. The relationship between cost, time, headway, time acces and service with the selection of modes, the provision that states whether or not there is a decision. The significance of α = 0.05 with chi-square. And the result of Crame's V test average of 0.298 is around the middle, then the relationship is moderate enough.


2018 ◽  
Vol 15 (5) ◽  
pp. 429-442 ◽  
Author(s):  
Nishant Verma ◽  
S. Natasha Beretvas ◽  
Belen Pascual ◽  
Joseph C. Masdeu ◽  
Mia K. Markey ◽  
...  

Background: Combining optimized cognitive (Alzheimer's Disease Assessment Scale- Cognitive subscale, ADAS-Cog) and atrophy markers of Alzheimer's disease for tracking progression in clinical trials may provide greater sensitivity than currently used methods, which have yielded negative results in multiple recent trials. Furthermore, it is critical to clarify the relationship among the subcomponents yielded by cognitive and imaging testing, to address the symptomatic and anatomical variability of Alzheimer's disease. Method: Using latent variable analysis, we thoroughly investigated the relationship between cognitive impairment, as assessed on the ADAS-Cog, and cerebral atrophy. A biomarker was developed for Alzheimer's clinical trials that combines cognitive and atrophy markers. Results: Atrophy within specific brain regions was found to be closely related with impairment in cognitive domains of memory, language, and praxis. The proposed biomarker showed significantly better sensitivity in tracking progression of cognitive impairment than the ADAS-Cog in simulated trials and a real world problem. The biomarker also improved the selection of MCI patients (78.8±4.9% specificity at 80% sensitivity) that will evolve to Alzheimer's disease for clinical trials. Conclusion: The proposed biomarker provides a boost to the efficacy of clinical trials focused in the mild cognitive impairment (MCI) stage by significantly improving the sensitivity to detect treatment effects and improving the selection of MCI patients that will evolve to Alzheimer’s disease.


2017 ◽  
Vol 25 (2) ◽  
pp. 45
Author(s):  
Henry Mamfredo Zambrana Flores

La responsabilidad social empresarial (RSE) es un concepto con el cual las empresas deciden voluntariamente incluirse en el logro de una sociedad mejor y un medio ambiente más saludable. Requiere de una continua adaptación a los cambios que se producen en su entorno, con su mirada puesta en la sostenibilidad empresarial que beneficie a la empresa y a las partes interesadas. El presente trabajo aborda, en primer lugar, los inicios y evolución del concepto de RSE, mostrando la estrecha relación con los cambios económicos y sociales. La responsabilidad social empresarial se inició con acciones filantrópicas, seguidas de acciones de inversión social. Sin embargo, en la actualidad, se plantea la realización de prácticas responsables integradas a la gestión empresarial, lo que propone nuevos modelos de gestión empresarial. Para comprender la noción de RSE en los negocios, se ha considerado necesario la realización de un diagnóstico en profundidad. Para ello, se muestran las diversas teorías y modelos de RSE corporativa; los grupos de interés y la RSE para la gestión; su interrelación con las normas legales actuales; y las herramientas de aplicación. Si se quiere ser competitivo, es necesario entender la empresa como un ciudadano corporativo con deberes y derechos, así como desafíos y aspectos críticos en su gestión. Finalmente, se hace mención a una serie de casos de RSE en los ámbitos internacional, nacional y regional para comprender el accionar y la respuesta de diversas empresas frente a los desafíos de su entorno y las necesidades de sus grupos de interés. ABSTRACTCorporate Social Responsibility (CSR) is a concept whereby companies decide voluntarily to include themselves the achievement of a better society and a healthier environment. It requires constantly adapting to the changing environment, with their sights set on corporate sustainability that benefits the company and stakeholders. Firstly, this paper addresses the beginnings and evolution about CSR concept, showing the close relationship between the economic and social changes. CSR began with philanthropy actions, followed by social investment actions. However, today, a realization of responsible practices integrated to business management is set out, which proposes new models of business management. To understand CSR in business is necessary to consider performing an in-depth diagnostic; for that, it shows the various theories and models of Corporate CSR, the stakeholders and CSR management; the relationship with the current laws and implementation tools. If competitiveness is required, it is necessary to understand the company as a corporate citizen with rights and duties, as well as challenges and critical issues in management. Finally, many of regional, national and internationals CSR cases are mentions to understand the actions and responses of various companies facing the challenges of their environment and the needs of its stakeholders. .


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