The graph represents a network of 1,254 Twitter users whose recent tweets contained "No medical value", 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 Thursday, 24 September 2020 at 01:29 UTC.
The tweets in the network were tweeted over the 8-day, 9-hour, 10-minute period from Tuesday, 15 September 2020 at 11:35 UTC to Wednesday, 23 September 2020 at 20:46 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 : 1254
Unique Edges : 1207
Edges With Duplicates : 10
Total Edges : 1217
Number of Edge Types : 5
Retweet : 939
Tweet : 36
Replies to : 84
Mentions : 135
MentionsInRetweet : 23
Self-Loops : 38
Reciprocated Vertex Pair Ratio : 0.000851063829787234
Reciprocated Edge Ratio : 0.00170068027210884
Connected Components : 107
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 868
Maximum Edges in a Connected Component : 868
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.993706
Graph Density : 0.000748442971318596
Modularity : 0.469177
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 1,254 Twitter users whose recent tweets contained "No medical value", 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 Thursday, 24 September 2020 at 01:29 UTC.
The tweets in the network were tweeted over the 8-day, 9-hour, 10-minute period from Tuesday, 15 September 2020 at 11:35 UTC to Wednesday, 23 September 2020 at 20:46 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 : No medical value
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[872] pay,medical [869] feel,good [868] look,ridiculous [868] ridiculous,tax [868] tax,system [868] system,imagine [868] imagine,100k [868] 100k,lose [868] lose,close [868] close,half Top Word Pairs in Tweet in G1:
[868] look,ridiculous [868] ridiculous,tax [868] tax,system [868] system,imagine [868] imagine,100k [868] 100k,lose [868] lose,close [868] close,half [868] half,salary [868] salary,services Top Word Pairs in Tweet in G2:
[2] affects,everyone [2] everyone,around Top Word Pairs in Tweet in G3:
[27] universities,value [27] value,review [27] review,wrote [27] wrote,journal [27] journal,one [27] one,read [27] read,paid [27] paid,grand [27] grand,published [27] published,more Top Word Pairs in Tweet in G4:
[7] medical,value [3] medical,science [2] much,better [2] medical,condition [2] criminal,leading [2] leading,doj [2] doj,murderous [2] murderous,facisct [2] facisct,president [2] president,plans Top Word Pairs in Tweet in G7:
[5] best,implement [5] implement,evidence [5] evidence,based [5] based,survival [5] survival,enhancing [5] enhancing,high [5] high,value [5] value,therapies [5] therapies,eligible [5] eligible,hfref Top Word Pairs in Tweet in G8:
[8] state,assembly [8] assembly,elections [8] elections,coming [8] coming,darbhanga [8] darbhanga,already [8] already,medical [8] medical,college [8] college,aiims [8] aiims,22nd [8] 22nd,aiims Top Word Pairs in Tweet in G9:
[2] medical,value Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: