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Though current researches often study the properties of online socialrelationship from an objective view, we also need to understand individuals'subjective opinions on their interrelationships in social computing studies.Inspired by the theories from sociolinguistics, the latest work indicates thatinteractive language can reveal individuals' asymmetric opinions on theirinterrelationship. In this work, in order to explain the opinions' asymmetry oninterrelationship with more latent factors, we extend the investigation fromsingle relationship to the structural context in online social network. Weanalyze the correlation between interactive language features and thestructural context of interrelationships. The structural context of vertex,edges and triangles in social network are considered. With statistical analysison Enron email dataset, we find that individuals' opinions (measured byinteractive language features) on their interrelationship are related to someof their important structural context in social network. This result can helpus to understand and measure the individuals' opinions on theirinterrelationship with more intrinsic information.

Structure vs. Language: Investigating the Multi-factors of Asymmetric Opinions on Online Social Interrelationship with a Case Study