Publication Type

Conference Proceeding Article

Publication Date

11-2013

Abstract

Social network analysis has received much attention from corporations recently. Corporations are trying to utilize social media platforms such as Twitter, Facebook and Sina Weibo to expand their own markets. Our system is an online tool to assist these corporations to 1) find potential customers, and 2) track a list of users by specific events from social networks. We employ both textual and network information, and thus produce a keyword-based relevance score for each user in pre-defined dimensions, which indicates the probability of the adoption of a product. Based on the score and its trend, out tool is able to pick up the potential customers for different kinds of products, such as suits which are time-insensitive and diapers which are time-sensitive. In order to detect the scenario of purchasing products as gifts, we filter the user network and only consider the off-line close friend network. In addition, we could track users in a more flexible way. Despite the pre-defined dimensions, our tool is also able to track users by customized events and catch those who mention the event at an early stage.

Discipline

Digital Communications and Networking

Research Areas

Data Management and Analytics

Publication

Social informatics : 5th international conference, SocInfo 2013, Kyoto, Japan, November 25-27, 2013, proceedings

First Page

75

Last Page

80

ISBN

978-3-319-03259-7

Identifier

10.1007/978-3-319-03260-3_7

Publisher

Springer International Publishing

City or Country

Switzerland

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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