Identifying Influential People Based on Interaction Strength

Abstract

Extraction of influential people from their respective domains has attained the attention of scholastic community during current epoch. This study introduces an innovative interaction strength metric for retrieval of the most influential users in the online social network. The interactive strength is measured by three factors, namely re-tweet strength, commencing intensity and mentioning density. In this article, we design a novel algorithm called IPRank that considers the communications from perspectives of followers and followees in order to mine and rank the most influential people based on proposed interaction strength metric. We conducted extensive experiments to evaluate the strength and rank of each user in the micro-blog network. The comparative analysis validates that IPRank discovered high ranked people in terms of interaction strength. While the prior algorithm placed some low influenced people at high rank. The proposed model uncovers influential people due to inclusion of a novel interaction strength metric that improves results significantly in contrast with prior algorithm.

When social computing meets soft computing: opportunities and insights

“…Kudelka et al [55] proposed a hybrid approach where the FCA is used for finding author's profiles based on keywords and fuzzy rules to learn the properties of the authors and to enhance the set of experts. Expert or influential people identification is an important task in social network positional analysis [56]. Kudelka et al [54] introduced a new soft computing method for expert identification in social networks based on formal concept analysis and fuzzy rules.…”

Novel Approaches for Applying Linguistic Processing Techniques Based on Pattern Recognition and Machine Learning

“…Zia et al [39] propose an interaction strength metric for the retrieval of the most influential users in online social networks. The interactive strength can be measured by the three factors of re-tweet strength, commencing intensity, and mentioning density.…”