The graph represents a network of 147 Twitter users whose recent tweets contained "@666ofswords", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 26 November 2019 at 22:12 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 59-minute period from Sunday, 17 November 2019 at 20:17 UTC to Tuesday, 26 November 2019 at 21:17 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 147
Unique Edges : 131
Edges With Duplicates : 253
Total Edges : 384
Self-Loops : 17
Reciprocated Vertex Pair Ratio : 0.0575916230366492
Reciprocated Edge Ratio : 0.108910891089109
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 147
Maximum Edges in a Connected Component : 384
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.074321
Graph Density : 0.00941198397167086
Modularity : 0.269797
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 147 Twitter users whose recent tweets contained "@666ofswords", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 26 November 2019 at 22:12 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 59-minute period from Sunday, 17 November 2019 at 20:17 UTC to Tuesday, 26 November 2019 at 21:17 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : @666ofswords
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[40] stealing,tip [40] tip,jar [39] owner,farine [39] farine,four [39] four,tackled [39] tackled,kid [39] kid,street [39] street,stealing [39] jar,bragged [39] bragged,holding Top Word Pairs in Tweet in G1:
[35] stealing,tip [35] tip,jar [34] owner,farine [34] farine,four [34] four,tackled [34] tackled,kid [34] kid,street [34] street,stealing [34] jar,bragged [34] bragged,holding Top Word Pairs in Tweet in G2:
[3] rowdyboyszineco,dm56892 [3] dm56892,blackandpinkorg [3] blackandpinkorg,always [3] always,support [3] support,work [3] work,doing [3] doing,please [3] please,consider [3] consider,sending [3] sending,donation Top Word Pairs in Tweet in G3:
[12] omaha,now [12] now,one [12] one,first [12] first,first [12] first,home [12] home,system [12] system,impacted [12] impacted,individuals [12] individuals,lgbtq [12] lgbtq,s Top Word Pairs in Tweet in G4:
[5] 666ofswords,angelbbxo [2] 666ofswords,jesus Top Word Pairs in Tweet in G5:
[2] 666ofswords,anarchotrash Top Word Pairs in Tweet in G6:
[4] 666ofswords,pauldebenedetto [3] ak,ak [3] ack,ack Top Word Pairs in Tweet in G10:
[4] localuglygirl,666ofswords [3] pjhartman,666ofswords [3] violence,against [2] 666ofswords,disgusting [2] disgusting,display [2] against,children Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: