After visiting http://www.steemspectacles.com/@holger80/followers, I wanted to calculate the number of my ghost, dead and active followers with beem.
Definition
- dead follower: not posted (post or comment) or voted within the last 30 days
- ghost follower: did not vote or reply to any of the last 100 posts
- active follower: is not a dead or ghost follower
Python script
I solved this by fetching my last 100 post with get_blog and stored all active votes and all replies of these 100 posts using get_votes and get_all_replies.
Then I go through all followers.
from beem.account import Account
from beem.comment import Comment
from beem.utils import addTzInfo, resolve_authorperm, formatTimeString
from datetime import datetime
if __name__ == "__main__":
account = Account("holger80")
followers = account.get_followers(raw_name_list=False)
blog = []
all_received_votes = {}
all_received_replies = {}
for b in account.get_blog(limit=100):
if b["authorperm"] != '@/':
blog.append(b)
c = Comment(b)
c.refresh()
for v in c.get_votes():
if v["voter"] in all_received_votes:
all_received_votes[v["voter"]].append(v)
else:
all_received_votes[v["voter"]] = [v]
for c in c.get_all_replies():
if c["author"] in all_received_replies:
all_received_replies[c["author"]].append(c)
else:
all_received_replies[c["author"]] = [c]
n_votes = 0
n_replies = 0
for a in all_received_votes:
n_votes += len(all_received_votes[a])
for a in all_received_replies:
n_replies += len(all_received_replies[a])
own_mvest = []
eff_sp = []
rep = []
last_vote_h = []
last_post_d = []
no_vote = 0
no_post = 0
last_votes = []
last_posts = []
last_comments = []
returned_rshares = []
returned_votes = []
returned_replies = []
for f in followers:
rep.append(f.rep)
own_mvest.append(f.balances["available"][2].amount / 1e6)
eff_sp.append(f.get_steem_power())
last_votes.append((addTzInfo(datetime.utcnow()) - (f["last_vote_time"])).total_seconds() / 60 / 60 / 24)
last_posts.append((addTzInfo(datetime.utcnow()) - (f["last_root_post"])).total_seconds() / 60 / 60 / 24)
last_comments.append((addTzInfo(datetime.utcnow()) - (f["last_post"])).total_seconds() / 60 / 60 / 24)
votes = f.get_account_votes()
returned_vote = 0
returned_rshare = 0
if f["name"] in all_received_votes:
for v in all_received_votes[f["name"]]:
returned_vote += 1
returned_rshare += v["rshares"]
returned_rshares.append(returned_rshare)
returned_votes.append(returned_vote)
returned_reply = 0
if f["name"] in all_received_replies:
for c in all_received_replies[f["name"]]:
returned_reply += 1
returned_replies.append(returned_reply)
ghost_followers = 0
dead_followers = 0
active_followers = 0
active_sp = 0
for i in range(len(followers)):
if returned_votes[i] == 0 and returned_replies[i] == 0:
ghost_followers += 1
if last_votes[i] > 30 and last_posts[i] > 30 and last_comments[i] > 30:
dead_followers += 1
elif returned_votes[i] > 0 or returned_replies[i] > 0:
active_sp += eff_sp[i]
active_followers += 1
print("%s has %d (%d active, %d ghosts and %d dead) followers." % (account["name"], len(followers), active_followers, ghost_followers, dead_followers))
print("%.2f %% are active (not ghost or dead)." % (active_followers / len(followers) * 100))
print("%.2f %% of all %d votes are from followers." % (sum(returned_votes) / n_votes * 100, n_votes))
print("%.2f %% of all %d replies are from followers." % (sum(returned_replies) / n_replies * 100, n_replies))
print("%.2f %% of all effective SP owned by followers are from active followers." % (active_sp / sum(eff_sp) * 100))
Results
holger80 has 916 (237 active, 663 ghosts and 197 dead) followers.
25.87 % are active (not ghost or dead).
13.50 % of all 9729 votes are from followers.
39.79 % of all 1616 replies are from followers.
96.44 % of all effective SP owned by followers are from active followers.
The obtained ghost followers are different from the result shown at http://www.steemspectacles.com:
The difference could be explained by a different obtained reply depth. Whereas my script took all replies into account, steemspectacles may only analyze first level replies.
http://steem.agency/ is another nice tool that adds filtering by votes, posts and time.
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I like it ! Thanks. Upvote
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