Research Article

Behavior-Interior-Aware User Preference Analysis Based on Social Networks

Table 1

User-oriented behavior interior dimensions.

DimensionsRelated concepts in Table 3Measurement in our study

Self-orientedActivenessActiveness, extraversion (social vitality)Tweet amount
SentimentAffect (valence), extraversion (social vitality)Linguistic approach based on LIWC-“positive affect”
DisturbanceNeuroticism, negative affect, sadness, anger, anxiety, etc.Linguistic approach based on LIWC-“negative emotion,” “anxiety,” “sadness”
OpennessPreference for novelty and varietyHashtag adoption latency and hashtag usage variety

Peer-orientedPopularityPopularityIn-degree (follower count)
GregariousnessGregariousness, extraversion (social vitality)Out-degree (followee count)
ReciprocityAgreeableness, altruismFriend count
InfluenceInfluenceRetweet count, mention count
PassivityPassivityHashtag unadoption percentage
DominanceExtraversion (social dominance)Linguistic approach based on ANEW-“dominance”
Textual sociabilityExtraversion (social vitality)Linguistic approach based on LIWC-“social process”