Thanh Ho

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—In this paper, we propose a new model for two purposes: (1) discovering communities of users on social networks via topics with the temporal factor and (2) analyzing the changes in interested topics and users in communities in each period of time. This model, we use Kohonen network (Self-Organizing Map) combining with the topic model. After discovering(More)
The Study on " Maximizing the Spread of Influence through a Social Network " has been strongly attracted attentions recently. One of the most important problems is figuring those who are able to make the strongest influence on the others in spreading information based on a specific topic. We would like to build a system to support viral marketing on social(More)
Social network is a virtual environment that provides services for connecting users with the same interests, points of view, gender, space and time. Beside connection, information exchange, communication, entertainment and so on. Social network is also an environment for users who work in online business, advertisement or politics, criminal investigation.(More)
In this paper, we focus on discovering information on the social network to discover automatically the hot topics in real time. We suggest using aging theory for finding hot topics and using the tools for processing natural language and data processing model. We create a perfect general model. This system will help us find hot interesting topics on the(More)
Myeloid sarcomas are tumor masses composed of aggregates of malignant myeloid precursors in extramedullary sites including the skin. We report a case of myeloid sarcoma in a patient who presented with an ear lobe mass and facial nerve paralysis. Expression of CD56 by the malignant cells led to an initial misdiagnosis as Merkel cell tumor. Comprehensive(More)
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