The graph represents a network of 9,661 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, 10 May 2021 at 05:03 UTC.
The requested start date was Monday, 10 May 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, 24-minute period from Friday, 07 May 2021 at 10:47 UTC to Sunday, 09 May 2021 at 11:11 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 : 9661
Unique Edges : 4756
Edges With Duplicates : 12351
Total Edges : 17107
Number of Edge Types : 5
Tweet : 1610
Retweet : 5780
MentionsInRetweet : 6776
Replies to : 759
Mentions : 2182
Self-Loops : 1655
Reciprocated Vertex Pair Ratio : 0.00685080469769465
Reciprocated Edge Ratio : 0.013608381034669
Connected Components : 1763
Single-Vertex Connected Components : 588
Maximum Vertices in a Connected Component : 1933
Maximum Edges in a Connected Component : 4161
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 5.868715
Graph Density : 9.92121532798301E-05
Modularity : 0.566312
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 9,661 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, 10 May 2021 at 05:03 UTC.
The requested start date was Monday, 10 May 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, 24-minute period from Friday, 07 May 2021 at 10:47 UTC to Sunday, 09 May 2021 at 11:11 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:
[982] healthcare,staff [858] another,vaccinated [858] vaccinated,healthcare [858] staff,sharing [858] sharing,protected [858] protected,covid [857] hausofhilton,another [682] healthcare,system [486] central,vista [422] healthcare,workers Top Word Pairs in Tweet in G1:
[854] another,vaccinated [854] vaccinated,healthcare [854] healthcare,staff [854] staff,sharing [854] sharing,protected [854] protected,covid [853] hausofhilton,another Top Word Pairs in Tweet in G2:
[43] healthcare,system [35] covid,19 [24] healthcare,workers [17] #health,#healthcare [16] healthcare,professionals [12] healthcare,infrastructure [11] #healthcare,#health [10] #medcommsjobs,#pharmajobs [8] free,healthcare [8] access,healthcare Top Word Pairs in Tweet in G3:
[62] pm,narendramodi [58] healthcare,facilities [57] basic,healthcare [56] runaway,mp [56] mp,rahulgandhi [56] rahulgandhi,provide [56] provide,basic [56] facilities,amethi [56] amethi,advising [56] advising,pm Top Word Pairs in Tweet in G4:
[193] economy,education [193] education,healthcare [193] healthcare,banking [193] banking,communication [193] communication,entertainment [193] entertainment,financial [193] financial,system [193] system,railway [193] railway,transport [193] transport,foreign Top Word Pairs in Tweet in G5:
[44] artificial,intelligence [25] intelligence,transformative [25] transformative,force [25] force,healthcare [17] #artificialintelligence,#health [11] healthcare,#artificialintelligence [11] #health,#healthcare [11] learn,more [11] more,future [11] future,healthcare Top Word Pairs in Tweet in G6:
[92] precious,gift [92] gift,given [92] given,healthcare [92] healthcare,worker [92] worker,remind [92] remind,take [92] take,precautionary [92] precautionary,measures [92] measures,save [91] dghisham,precious Top Word Pairs in Tweet in G7:
[380] central,vista [190] congress,discourse [190] discourse,central [190] vista,bizarre [190] bizarre,cost [190] cost,central [190] vista,20 [190] 20,000 [190] 000,crore [190] crore,over Top Word Pairs in Tweet in G8:
[117] healthcare,frontline [117] frontline,workers [98] nothing,gratitude [98] gratitude,healthcare [98] workers,awe [98] awe,spirit [98] spirit,dedication [97] imvkohli,nothing [58] covid,19 [57] second,wave Top Word Pairs in Tweet in G9:
[88] shadowing,nhs [87] really,health [87] health,ministers [87] ministers,spend [87] spend,time [87] time,shadowing [87] nhs,healthcare [87] healthcare,staff [87] staff,turning [86] jujuliagrace,really Top Word Pairs in Tweet in G10:
[55] last,year [53] central,vista [50] case,fatality [50] fatality,ratio [49] year,gujarat [49] gujarat,ahead [49] ahead,case [49] ratio,hundreds [49] hundreds,articles [49] articles,analyzing 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: