The graph represents a network of 6,656 Twitter users whose tweets in the requested range contained "healthcare", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 20 November 2019 at 23:25 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 0-hour, 27-minute period from Sunday, 17 November 2019 at 13:07 UTC to Monday, 18 November 2019 at 13:35 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 : 6656
Unique Edges : 8000
Edges With Duplicates : 594
Total Edges : 8594
Number of Edge Types : 3
Mentions : 6942
Tweet : 1079
Replies to : 573
Self-Loops : 1079
Reciprocated Vertex Pair Ratio : 0.0089828634604754
Reciprocated Edge Ratio : 0.0178057800301329
Connected Components : 1226
Single-Vertex Connected Components : 428
Maximum Vertices in a Connected Component : 2894
Maximum Edges in a Connected Component : 4567
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.285593
Graph Density : 0.00016482419956077
Modularity : 0.853234
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 6,656 Twitter users whose tweets in the requested range contained "healthcare", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 20 November 2019 at 23:25 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 0-hour, 27-minute period from Sunday, 17 November 2019 at 13:07 UTC to Monday, 18 November 2019 at 13:35 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 : GraphServerTwitterSearch
Graph Term : healthcare
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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[666] first,time [656] house,democrats [656] democrats,tried [656] tried,distract [656] distract,charade [656] charade,dow [656] dow,hit [656] hit,28 [656] 28,000 [656] 000,first Top Word Pairs in Tweet in G1:
[640] house,democrats [640] democrats,tried [640] tried,distract [640] distract,charade [640] charade,dow [640] dow,hit [640] hit,28 [640] 28,000 [640] 000,first [640] first,time Top Word Pairs in Tweet in G2:
[18] link,bio [15] check,out [12] universal,healthcare [11] don,t [10] healthcare,professionals [10] healthcare,providers [10] healthcare,conference [9] health,care [9] click,link [8] healthcare,system Top Word Pairs in Tweet in G3:
[137] imagine,wasting [137] wasting,money [137] money,php [137] php,55 [137] 55,million [137] million,cauldron [137] cauldron,games [137] games,filipinos [137] filipinos,nationwide [137] nationwide,struggle Top Word Pairs in Tweet in G4:
[48] ewarren,petebuttigieg [35] side,side [35] side,video [35] video,made [35] made,showing [35] showing,ewarren [35] petebuttigieg,identical [35] identical,approach [35] approach,healthcare [35] healthcare,both Top Word Pairs in Tweet in G5:
[44] gt,gt [22] #bigdata,fisher85m [21] china,#ai [21] #ai,defeated [21] defeated,team [21] team,elite [21] elite,doctors [21] doctors,both [21] both,speed [21] speed,accuracy Top Word Pairs in Tweet in G6:
[14] healthcare,prices [9] democrats,congress [9] congress,passed [9] passed,literally [9] literally,400 [9] 400,bills [9] bills,addressing [9] addressing,infrastructure [9] happening,now [9] now,realdonaldtrump Top Word Pairs in Tweet in G7:
[121] human,right [120] healthcare,human [113] right,future [113] healthy,planet [112] being,#toofarleft [112] #toofarleft,means [112] means,believing [112] believing,healthcare [112] future,generations [112] generations,live Top Word Pairs in Tweet in G8:
[70] pay,tax [68] migrants,pay [37] free,nhs [36] entitled,free [35] matthancock,suggesting [35] suggesting,pay [35] tax,entitled [35] nhs,care [35] care,many [35] many,migrants Top Word Pairs in Tweet in G9:
[346] human,right [116] healthcare,human [116] one,argue [115] food,human [114] zubymusic,healthcare [114] right,housing [114] housing,human [114] right,food [114] right,one [114] argue,wealthy Top Word Pairs in Tweet in G10:
[84] brexit,happens [84] happens,everyone [84] everyone,uk [84] uk,loses [84] loses,1 [84] 1,eu [84] eu,citizenship [84] citizenship,2 [84] 2,workers' [84] workers',human Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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: