rootjazz
Elite Member
- Dec 21, 2012
- 3,166
- 1,190
Have seen a few threads about finding influencers recently and has got me thinking.
What formulae would be best for deciding if an account is an influencer.
Metrics to consider:
#followers
Probably need a minimum of (x) to be considered. And this number is used to find ratios with other metrics
Last 10 days images
#likes
#comments
Stories
#watchers of each and combined
I cannot think of anything else that might be useful, so need to use the above to get an "influencer score"
For each image, combine the #likes and #comments to get engagement score.
===============================
I am thinking this needs to be modified based on how old the image is. So we can weight the likes/comments based on how quick the engagement is.
Something like
engagement_score * (num_of_days_scraped - age_of_image_in_days)
i.e
100 likes and 100 comments for an image posted 4 hours ago would be
200 * (10-0) = 2000
an image that was posted 10 days ago and has 900 likes and 1000 comments would be
1900 * (10-10)
obviously we don't want x0 so if 0, call it 1 thus
1900 * (1) = 1900
so an image posted in the last 4 hours with 200 engagements is considered slightly better than an image posted 10 days ago.
===============================
Now that modified engagement score, should be modified based on the number of followers, otherwise the accounts with most followers will do better (in theory).
follower_engagement = date_engagement_ratio / num_followers
We do this for each post, for a total_follower_engagement score then divide by number of posts for a date and follower weighted engagement score.
The higher the score, the more influence they can be assumed to have.
Anyone with better mathematical knowledge have any input? Can we use any other calculations which would be better at weighting the results of multiple inputs?
What formulae would be best for deciding if an account is an influencer.
Metrics to consider:
#followers
Probably need a minimum of (x) to be considered. And this number is used to find ratios with other metrics
Last 10 days images
#likes
#comments
Stories
#watchers of each and combined
I cannot think of anything else that might be useful, so need to use the above to get an "influencer score"
For each image, combine the #likes and #comments to get engagement score.
===============================
I am thinking this needs to be modified based on how old the image is. So we can weight the likes/comments based on how quick the engagement is.
Something like
engagement_score * (num_of_days_scraped - age_of_image_in_days)
i.e
100 likes and 100 comments for an image posted 4 hours ago would be
200 * (10-0) = 2000
an image that was posted 10 days ago and has 900 likes and 1000 comments would be
1900 * (10-10)
obviously we don't want x0 so if 0, call it 1 thus
1900 * (1) = 1900
so an image posted in the last 4 hours with 200 engagements is considered slightly better than an image posted 10 days ago.
===============================
Now that modified engagement score, should be modified based on the number of followers, otherwise the accounts with most followers will do better (in theory).
follower_engagement = date_engagement_ratio / num_followers
We do this for each post, for a total_follower_engagement score then divide by number of posts for a date and follower weighted engagement score.
The higher the score, the more influence they can be assumed to have.
Anyone with better mathematical knowledge have any input? Can we use any other calculations which would be better at weighting the results of multiple inputs?