Abstract
Understanding experts’ roles and behaviors in social networking sites are helpful in designing and implementation of social network systems. Social element of an expert’s role is an important aspect to be investigated that has been overlooked until recently. In this paper, to investigates the social element of experts in social support online community, we proposed a graph based feature selection approach to identify current experts in online communities. The experimental results show the effectiveness of the proposed technique in evaluating user’s expertise in online communities. The proposed technique is simple to implement in comparison to computationally expensive algorithms.
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Acknowledgments
This work was supported in part by projects including the Scientific and Technological Research Program of Chongqing Municipal Education Commission Grant (KJ13051), the Natural Science Foundation of Chongqing, China (cstc2014jcyjA40049), and the Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJ130527).
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Hamid, I., Wu, Y., Nawaz, Q., Rauf, M. (2019). Finding Expert Role in Social-Support Online Community. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_334
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DOI: https://doi.org/10.1007/978-981-10-6571-2_334
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