EdgeRank algorithm is a way for Facebook to recommend content to users. It is made of three components:
Affinity is the relationship factor. It means a user is more likely to see your content if they have interacted with your content in the past.
Weight is the priority given to the type of posts. Videos and photos take top priority. Moreover, user interactions like comments and likes add weight to the posts. Still, comments add more weight than likes.
Time decay simply means how old the content is. With the time, the post is less likely to feature in the user’s News Feed.
So if you want to appear more into the news feed of your page follower, you have to keep them engaged to make sure your affinity score is high with the user.