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April 17, 2022 06:15
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Python script to generate a GDF for Gephi to visualize the Mastodon Hashtag Network https://vis.social/web/statuses/100634263439065513
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from multiprocessing import Pool | |
import requests | |
import datetime | |
import time | |
MAX_PROCESSES = 100 #number of python processes that can run in parallel | |
TOOTS_PER_INSTANCE = 4000 #multiples of 40 | |
MASTOVERSE = ["mstdn.jp","pawoo.net","friends.nico","mastodon.social","mimumedon.com"] #instances you want to examine | |
def get_local_timeline(instance_url, count=80): | |
url = 'https://' + instance_url + '/api/v1/timelines/public?local=true&limit=40' | |
r = requests.get(url, timeout=10) | |
timeline = r.json() | |
max_id = 0 | |
got_new_toots = True | |
while 'next' in r.links and len(timeline) < count and got_new_toots: | |
r = requests.get(r.links['next']['url'], timeout=10) | |
new_toots = r.json() | |
if len(new_toots) > 0: | |
if max_id != new_toots[-1]['id']: | |
max_id = new_toots[-1]['id'] | |
timeline += new_toots | |
else: | |
got_new_toots = False | |
else: | |
got_new_toots = False | |
return timeline | |
def get_hashtags(timeline): | |
hashtags = [] | |
for toot in timeline: | |
if len(toot['tags']) > 0: | |
for tag in toot['tags']: | |
hashtags.append(tag['name']) | |
return (hashtags) | |
instances = dict() | |
def process_instance(instance): | |
timeline = get_local_timeline(instance, TOOTS_PER_INSTANCE) | |
tags = get_hashtags(timeline) | |
with open('mastodon-hashtags.gdf', 'a', encoding="utf8") as f: | |
print(instance + ': ' + str(len(tags))) | |
for tag in tags: | |
f.write(instance + ',' + tag + ',TRUE\n') | |
return ("Done: " + instance) | |
if __name__ == '__main__': | |
with open('mastodon-hashtags.gdf', 'w', encoding="utf8") as f: | |
f.write('nodedef>name VARCHAR\n') | |
with open('mastodon-hashtags.gdf', 'a', encoding="utf8") as f: | |
f.write('edgedef>node1 VARCHAR,node2 VARCHAR,directed BOOLEAN\n') | |
with Pool(MAX_PROCESSES) as p: | |
result = p.map_async(process_instance, MASTOVERSE) | |
while not result.ready(): | |
print("# # # # # # # # Instances left: {}".format(result._number_left)) | |
time.sleep(10) | |
print(result.get()) | |
print ("All Done.") |
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Maybe add https://instances.social/ to automatically populate the mastoverse list.