The graph represents a network of 9,610 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 Monday, 02 August 2021 at 05:07 UTC.
The requested start date was Monday, 02 August 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 43-minute period from Friday, 30 July 2021 at 10:25 UTC to Sunday, 01 August 2021 at 11:09 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 : 9610
Unique Edges : 4648
Edges With Duplicates : 12054
Total Edges : 16702
Number of Edge Types : 5
Retweet : 5645
MentionsInRetweet : 6483
Mentions : 1899
Replies to : 853
Tweet : 1822
Self-Loops : 1871
Reciprocated Vertex Pair Ratio : 0.008613759044447
Reciprocated Edge Ratio : 0.0170803917103166
Connected Components : 2013
Single-Vertex Connected Components : 657
Maximum Vertices in a Connected Component : 1411
Maximum Edges in a Connected Component : 3056
Maximum Geodesic Distance (Diameter) : 36
Average Geodesic Distance : 9.645532
Graph Density : 9.51024820751531E-05
Modularity : 0.560605
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 9,610 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 Monday, 02 August 2021 at 05:07 UTC.
The requested start date was Monday, 02 August 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 43-minute period from Friday, 30 July 2021 at 10:25 UTC to Sunday, 01 August 2021 at 11:09 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1473] healthcare,workers [818] frontline,healthcare [702] long,term [701] ก,ค [697] workers,healthcare [695] healthcare,personnel [693] term,care [691] personnel,long [689] care,facility [689] facility,residents Top Word Pairs in Tweet in G1:
[682] frontline,healthcare [682] healthcare,workers [682] workers,healthcare [682] healthcare,personnel [682] personnel,long [682] long,term [682] term,care [680] care,facility [680] facility,residents [679] บ,คคลกร Top Word Pairs in Tweet in G2:
[101] healthcare,system [76] coup,resulted [76] resulted,near [76] near,total [76] total,collapse [76] collapse,healthcare [75] system,#prayformyanmar [75] #prayformyanmar,#whatshappeninginmyanmar [49] covid,19 [29] healthcare,workers Top Word Pairs in Tweet in G3:
[281] ค,อจะบอกว [281] อจะบอกว,า [281] า,pfizer [281] pfizer,เน [281] เน,ย [281] ย,ก [281] ก,ของฟร [281] ของฟร,ค [281] ค,ะ [281] ะ,ไม Top Word Pairs in Tweet in G4:
[264] dhabitah,masa [264] masa,american [264] american,diver [264] diver,nak [264] nak,lompat [264] lompat,cepat [264] cepat,cepat [264] cepat,jerit [264] jerit,free [264] free,healthcare Top Word Pairs in Tweet in G5:
[154] covid,19 [84] dislike,narrative [84] narrative,people [84] people,die [84] die,#covid19 [84] #covid19,home [84] home,'culture' [84] 'culture',people [84] people,dying [84] dying,home Top Word Pairs in Tweet in G6:
[44] #100daysofcode,#bigdata [44] #bigdata,#100daysofmlcode [38] #100daysofmlcode,#python [37] lung,cancer [28] #machinelearning,#socialmedia [23] #socialmedia,#100daysofcode [23] #python,#flutter [18] #machinelearning,#100daysofcode [17] artificial,intelligence [14] #technology,#healthcare Top Word Pairs in Tweet in G7:
[82] marjorie,taylor [82] taylor,greene [81] supporters,exercise [81] exercise,second [81] second,amendment [81] amendment,rights [81] rights,against [80] greene,told [80] told,supporters [80] against,vaccine Top Word Pairs in Tweet in G8:
[66] yesterday,rep [66] rep,marjorie [66] marjorie,taylor [66] taylor,greene [66] greene,called [66] called,supporters [66] supporters,exercise [66] exercise,second [66] second,amendment [66] amendment,rights Top Word Pairs in Tweet in G9:
[125] healthcare,workers [125] lauren,boebert's [125] boebert's,district [92] call,embarrassment [91] watch,healthcare [91] workers,one [91] one,largest [91] largest,hospitals [91] hospitals,lauren [91] district,call Top Word Pairs in Tweet in G10:
[29] healthcare,workers [15] frontline,healthcare [14] delta,variant [14] variant,more [14] more,contagious [14] contagious,more [14] more,dangerous [14] dangerous,frontline [14] workers,fight [13] innovation,intelligent Top Replied-To in Entire Graph:
Top Replied-To in G5:
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: