scholarly journals The Social Networking Application Success Model: An Empirical Study of Facebook and Twitter

Author(s):  
Carol X.J. Ou ◽  
Robert M. Davison ◽  
Vivian Q. Huang
Author(s):  
Carlota Lorenzo Romero ◽  
Efthymios Constantinides ◽  
María del Carmen Alarcón del Amo

2010 ◽  
pp. 73-89
Author(s):  
M.-F. Garcia

The article examines social conditions and mechanisms of the emergence in 1982 of a «Dutch» strawberry auction in Fontaines-en-Sologne, France. Empirical study of this case shows that perfect market does not arise per se due to an «invisible hand». It is a social construction, which could only be put into effect by a hard struggle between stakeholders and large investments of different forms of capital. Ordinary practices of the market dont differ from the predictions of economic theory, which is explained by the fact that economic theory served as a frame of reference for the designers of the auction. Technological and spatial organization as well as principal rules of trade was elaborated in line with economic views of perfect market resulting in the correspondence between theory and reality.


Author(s):  
Nur Amiratun Nazihah Roslan ◽  
Hairulnizam Mahdin ◽  
Shahreen Kasim

With the rise of social networking approach, there has been a surge of users generated content all over the world and with that in an era where technology advancement are up to the level where it could put us in a step ahead of pathogens and germination of diseases, we couldn’t help but to take advantage of that advancement and provide an early precaution measures to overcome it. Twitter on the other hand are one of the social media platform that provides access towards a huge data availability. To manipulate those data and transform it into an important information that could be used in many different scope that could help improve people’s life for the better. In this paper, we gather all algorithm that are available inside Meta Classifier to compare between them on which algorithm suited the most with the dengue fever dataset. This research are using WEKA as the data mining tool for data analyzation.


Author(s):  
Shahir Bhatt ◽  
Amola Bhatt

The significance of television advertisements has grown profusely, and despite the growing preference for advertising on social networking platforms, importance of television advertisements cannot be undermined. As television advertisements increasingly compete for audience attention, it is imperative for the advertisement agencies to learn about the attributes which influence the audiences attitudes towards such television advertisements. This would aid them in designing effective ads and thereby resulting in higher revenues for the concerned companies.


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