Finding Influential Authors in Brand-Page Communities

TitleFinding Influential Authors in Brand-Page Communities
Publication TypeMiscellaneous
Year of Publication2012
AuthorsHemant Purohit, Jitendra Ajmera, Sachindra Joshi, Ashish Verma, Amit Sheth
Keywordsinfluence, influential users, microblogs, Social Computing, Social Media, social networks, twitter, user interaction
Abstract

Enterprises are increasingly using social media forums to engage with their customer online- a phenomenon known as Social Customer Relation Management (Social CRM). In this context, it is important for an enterprise to identify “influential authors” and engage with them on a priority basis. We present a study towards finding influential authors on Twitter forums where an implicit network based on user interactions is created and analyzed. Furthermore, author profile features and user interaction features are combined in a decision tree classification model for finding influential authors. A novel objective evaluation criterion is used for evaluating various features and modeling techniques. We compare our methods with other approaches that use either only the formal connections or only the author profile features and show a significant improvement in the classification accuracy over these baselines as well as over using Klout score.

Full Text

Hemant Purohit, Jitendra Ajmera, Sachindra Joshi, Ashish Verma, Amit Sheth. Finding Influential Authors in Brand-Page Communities. In 6th Int'l AAAI Conference on Weblogs and Social Media, ICWSM 2012, pp 551-554.

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