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Social media creates a novel marketing mechanism to boost opinion formation and information diffusion. As a crucial idea, social influence sheds light on individuals' features in the process of communicating brand stories, and changes other consumers' opinions and behavior. Social media marketing has drawn great interests from scholars in a past decade, but the extant work neglects to establish an...
Enhancing brand awareness through online social networks is increasingly pivotal to business success. This paper is concerned with a hybrid paradigm for modeling, simulation and analysis of brand virality in social media. In particular, mathematical models and graphical animation are proposed and formulated to represent the spread and viral process of a brand over social Web and mobile networks. Simulation...
In this paper, we present a novel method in making recommendations by leveraging Tie Strength, an integrated social relationship measurement calculated from various user information gathered from social media. Moreover, the proposed method adopts Least Absolute Errors in factorization scheme to reduce the sensitivity to data outliers. We have conducted comprehensive experiments over the real datasets...
Analysing public sentiment about future events, such as demonstration or parades, may provide valuable information while estimating the level of disruption and disorder during these events. Social media, such as Twitter or Facebook, provides views and opinions of users related to any public topics. Consequently, sentiment analysis of social media content may be of interest to different public sector...
Many universities implement social media for various reasons. It is obvious that the number of social media opportunities provided by universities continue to grow in Thailand. Recently, universities have begun incorporating these social media tools such as Facebook and Line into their marketing mix to connect with everyone, from prospective students to alumni. However, little reliable research existed...
Since their introduction, social media sites (SMSs) such as Facebook, LinkedIn and Twitter have attracted millions of users, many of whom have integrated these sites in their daily practices. As of this writing, there are hundreds of SMSs, with various technological affordances, supporting a wide range of interests and practices. Social media are gaining popularity and are increasingly used in regular...
Collective synchronous behavior is a pervasive phenomenon that has attracted many researchers' interests over past decades. It can be observed in many areas easily, including biology, chemistry, physics and social society. A series of interactive processes in-between individuals trigger the formation of collective behavior. Traditional data mining methods, however, mainly concentrate on the analysis...
The emergence of social computing enables users to intersect social behaviour with computing systems and to create social conventions as well as social contexts through the use of software and technology. Social networking sites have become popular to facilitate collaboration and knowledge sharing between users. A rich set of information is embedded in these social media data. In this paper, we propose...
Although relatively new on the scene, social media has become a powerful force -- growing fast in scope, audience and influence. Social Media data comes in many forms: blogs, micro-blogs social networking, wikis, social bookmarking, social news ,reviews, and multimedia sharing. Online social media represent a fundamental shift of how information is being produced, transferred and consumed. Today On-line...
Social media allows individuals and businesses to contribute contents for public viewing. However, little is known about the underlying incentives that why content providers derive utilities from such activities. In this study, we build a dynamic structural model to recover the utility function for content providers. Our model distinguishes short-term payoffs based on ad revenue sharing from long-term...
Social network analysis has recently gained a lot of interest because of the advent and the increasing popularity of social media, such as blogs, social networks, micro logging, or customer review sites. Such media often serve as platforms for information dissemination and product placement or promotion. In this environment, influence and trust are becoming essential qualities among user interactions...
This paper explores the behavior of the Twitter social media network through the lens of complex systems and agent-based models. By examining the behavior of power-law-based preferential attachment networks, taking data from existing Twitter accounts, and creating a basic model of the network using these data and NetLogo modeling software, this research effort provides further insight into the processes...
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