Date: December 2011
Creator: Zhao, Kang; Qiu, Baojun; Caragea, Cornelia; Wu, Dinghao; Mitra, Prasenjit; Yen, John et al.
Description: Paper on identifying leaders in an online cancer survivor community. 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.
Contributing Partner: UNT College of Engineering