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One of the most interesting topics in social network research is opinion formation. In this paper we have introduced a new dependent multi-dimensional opinion formation method. This method models agents with several dependent opinions so that modifying the agent's opinion about one issue can affect its opinion about another issue. Agents share their opinion with agents which have trusted them. A directed...
The success of traditional learning is based on the individual use of learning tools, depending on the learners' personality. But modern eLearning is disregarding this major fact. By using learning analytics, this paper examines the correlation between personality traits of the user and preferred learning tools in an eLearning scenario. The investigation is based on a field study with 992 participants...
This paper addresses recommending presentation sessions at smart conferences to participants. We propose a venue recommendation algorithm: socially aware recommendation of venues and environments (SARVE). SARVE computes correlation and social characteristic information of conference participants. In order to model a recommendation process using distributed community detection, SARVE further integrates...
With the keen competition in C2C e-marketplaces, C2C online shopping platform providers are finding ways to keep and maintain customer relationship. In this study, a research model that examines the role of customer engagement in customer loyalty to C2C online shopping platforms is proposed and empirically tested with 385 customers who have used Taobao to perform online shopping. The results provide...
Current research environments are witnessing high enormities of presentations occurring in different sessions at academic conferences. This situation makes it difficult for researchers (especially juniors) to attend the right presentation session(s) for effective collaboration. In this paper, we propose an innovative venue recommendation algorithm to enhance smart conference participation. Our proposed...
In this exploratory paper, we examine the evolution and engagement of an online community through a ten-year period. Data is collected from an online public discussion forum provided by a government-sponsored website specifically developed for community capacity building. We postulate that there are clear patterns of assortativity where similar actors engage in communication with each other over time...
We address the relation between persuasion and virality in social networks and provide preliminary findings based on a Digg dataset. In particular we want to understand whether a content categorized as persuasive (according to various metrics) can be categorized as viral as well. Results show that the persuasive properties of a content are related to its virality in different ways. These findings...
When foraging for information, users face a tradeoff between the accuracy and value of the acquired information and the time spent collecting it, a problem which also surfaces when seeking answers to a question posed to a large community. We empirically study how people behave when facing these conflicting objectives using data from Yahoo Answers, a community driven question-and-answer site. We first...
Since people are increasingly using online tools to share ideas and contact others, the importance of virtual communities is growing day by day. However, in the quest for exploring the relationship between psychological sense, trust, and knowledge sharing in virtual communities, there have been still very few studies. This study has revealed how knowledge sharing is fostered through trust in order...
Learning online communities enabled a new way of knowledge sharing and innovation. Adopting a social perspective and drawing on social capital theory, this paper investigated how dimensions of members' social capital interacting influenced on knowledge sharing behavior in learning online community. With 478 valid responses from an online survey, the study tested hypotheses about relationships of social...
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