The proposed Subnode model expresses each of the news node as a bag of subnode information of its associated features including semantic features such as event elements with high tf-idf scores, text structure features such as words count and paragraphs count, and side information such as published date, news type and emotion.
each news vertex e ∈ V e is represented as: where word count, paragraph count and sentiment are ordinal data rather than real values.