Social Influence Calculation Excluding Phatic Interactions

The patent segments the set of all users into a specific group interested in a certain topic. By focusing calculations only on interactions within this segmented group rather than all users, the system achieves more accurate influence evaluation for the target topic while filtering out irrelevant habitual interactions with users outside the group.

The patent extracts and excludes habitual or phatic interactions from the influence calculation. By identifying and removing these low-quality interactions from the evaluation process, the system maintains comprehensive coverage of meaningful interactions while eliminating noise that reduces measurement precision.

The patent divides the user base into a specific topic-related group and others. By segmenting the analysis scope to focus only on the relevant group, the system improves evaluation reliability for topic-specific influence while reducing the complexity of analyzing all possible interactions across the entire platform.

The patent applies different evaluation criteria to different contexts: within the specific topic group, all interactions are considered meaningful, while interactions outside this group are excluded. This local quality approach ensures high reliability for topic-relevant influence evaluation without the complexity of universally analyzing all interactions.