The UNT College of Engineering strives to educate and train engineers and technologists who have the vision to recognize and solve the problems of society. The college comprises six degree-granting departments of instruction and research.
Paper on identifying leaders in an online cancer survivor community.
Physical Description
6 p.
Notes
Abstract: Online communities are an important source of social support for cancer survivors and their informal caregivers. This research attempts to identify leaders in a popular online forum for cancer survivors and caregivers using classification techniques. We extracted user features from many different perspectives, including user-contribution, network, and semantic features. Based on these features, we further utilized the structure of the network among users and generated new neighborhood-based and cluster-based features. Classification results revealed that these features are discriminative for leader identification. Using these features, we developed a hybrid approach based on an ensemble classifier that performs better than many traditional metrics. This research has important implications for understanding and managing similar online communities.
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Zhao, Kang; Qiu, Baojun; Caragea, Cornelia; Wu, Dinghao; Mitra, Prasenjit; Yen, John et al.Identifying Leaders in an Online Cancer Survivor Community,
paper,
December 2011;
(https://digital.library.unt.edu/ark:/67531/metadc185799/:
accessed April 19, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT College of Engineering.
