Fig 1.
Model of purchase funnel.
Fig 2.
Measures of the proposed method for detecting of influencers.
Table 1.
Metrics of a user.
Fig 3.
The work of the system for detecting of influencers.
Fig 4.
Similarity scores of AFG + CC, SNOL and SP approaches.
Fig 5.
Comparing the engagement score of users using AFG+CC, SNOL and SP approaches.
a. Total of engagement scores of users in top_k. b. The average of engagement score of users in top_k.
Fig 6.
Sub-graph presents the homophily, including people interested in the brand X.
Table 2.
List of emerging influencers.
Fig 7.
The voice of interactions between products from 13–23 February 2020.
Table 3.
Compare the interactions related to brand X and competitor products from 13–23 Feb. 2020.
Fig 8.
The interactions related to the brand X from 13–23 February 2020.
Table 4.
Total of interactions that are related to the brand X in February 2020.
Fig 9.
Compare the factors between the two phases.
Table 5.
Comparison of factors between the two phases in the campaign.
Fig 10.
The total number of parameters and average of parameters for each influencer in two phases of the campaign.
Table 6.
Analysis the sentiment of comments in each phase of the campaign.