The graph represents a network of 9,773 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, 06 December 2021 at 06:03 UTC.
The requested start date was Monday, 06 December 2021 at 01:01 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, 39-minute period from Friday, 03 December 2021 at 10:30 UTC to Sunday, 05 December 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 : 9773
Unique Edges : 5416
Edges With Duplicates : 12263
Total Edges : 17679
Number of Edge Types : 5
Retweet : 5491
MentionsInRetweet : 7012
Mentions : 2377
Replies to : 967
Tweet : 1832
Self-Loops : 1896
Reciprocated Vertex Pair Ratio : 0.00855513307984791
Reciprocated Edge Ratio : 0.0169651272384543
Connected Components : 2112
Single-Vertex Connected Components : 645
Maximum Vertices in a Connected Component : 2570
Maximum Edges in a Connected Component : 5968
Maximum Geodesic Distance (Diameter) : 48
Average Geodesic Distance : 17.781708
Graph Density : 9.99876902787002E-05
Modularity : 0.572483
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 9,773 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, 06 December 2021 at 06:03 UTC.
The requested start date was Monday, 06 December 2021 at 01:01 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, 39-minute period from Friday, 03 December 2021 at 10:30 UTC to Sunday, 05 December 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:
[1059] healthcare,workers [574] workers,enter [574] enter,third [574] third,year [574] year,pandemic [574] pandemic,right [574] right,pissed [573] puff_iya,healthcare [336] healthcare,system [275] young,people Top Word Pairs in Tweet in G1:
[37] healthcare,workers [34] healthcare,system [30] covid,19 [18] healthcare,professionals [15] free,healthcare [13] full,time [12] omicron,variant [12] #health,#healthcare [12] find,more [12] merck,foundation Top Word Pairs in Tweet in G2:
[576] healthcare,workers [572] workers,enter [572] enter,third [572] third,year [572] year,pandemic [572] pandemic,right [572] right,pissed [571] puff_iya,healthcare [2] puff_iya,pay [2] pay,healthcare Top Word Pairs in Tweet in G3:
[156] nhs,staff [154] staff,asked [154] asked,police [154] police,investigate [154] investigate,downing [154] downing,street [154] street,lockdown [154] lockdown,christmas [154] christmas,party [154] party,open Top Word Pairs in Tweet in G4:
[91] withdrawal,services [91] services,#residentdoctors [88] letter,intimation [74] mansukhmandviya,sir [73] hon,ble [71] intimation,hon [71] ble,mansukhmandviya [71] sir,regarding [71] regarding,withdrawal [70] fordaindia,letter Top Word Pairs in Tweet in G5:
[75] senmikelee,rogermarshallmd [74] people,right [74] right,make [74] make,healthcare [74] healthcare,decisions [68] decisions,proud [68] proud,stand [68] stand,senmikelee [67] randpaul,people [67] rogermarshallmd,opp Top Word Pairs in Tweet in G6:
[12] artificial,intelligence [12] #dhpsp,#hospitalstalktolovedones [7] #ai,future [7] future,#healthcare [7] #healthcare,improving [7] improving,effectiveness [7] effectiveness,#medical [7] #medical,care [7] care,#dhpsp [6] people,living Top Word Pairs in Tweet in G7:
[114] 100,countries [114] countries,otc [114] otc,birth [114] birth,control [114] control,pills [114] pills,united [114] united,states [114] states,one [114] one,debating [114] debating,roe Top Word Pairs in Tweet in G8:
[82] ask,doctor [79] askthedr,ask [72] healthcare,partners [70] doctor,partners [70] partners,nowpayments_io [70] nowpayments_io,accept [70] accept,shiba [70] shiba,healthcare [70] partners,#shib [69] #shib,#shibarmy Top Word Pairs in Tweet in G9:
[52] reproductive,healthcare [51] breaking,vetoed [51] vetoed,five [51] five,bills [51] bills,restrict [51] restrict,access [51] access,reproductive [51] healthcare,wisconsin [50] govevers,breaking [33] thing,secret Top Word Pairs in Tweet in G10:
[111] nhs,staff [111] police,investigate [111] investigate,downing [111] downing,street [111] street,lockdown [111] lockdown,christmas [111] christmas,party [111] party,open [111] open,letter [111] letter,calls Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: