The graph represents a network of 10,004 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, 11 October 2021 at 05:04 UTC.
The requested start date was Monday, 11 October 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 3-day, 0-hour, 37-minute period from Wednesday, 06 October 2021 at 10:31 UTC to Saturday, 09 October 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 : 10004
Unique Edges : 5812
Edges With Duplicates : 11895
Total Edges : 17707
Number of Edge Types : 5
Tweet : 1943
Retweet : 5400
MentionsInRetweet : 6481
Mentions : 3041
Replies to : 842
Self-Loops : 1998
Reciprocated Vertex Pair Ratio : 0.00713266761768902
Reciprocated Edge Ratio : 0.0141643059490085
Connected Components : 2203
Single-Vertex Connected Components : 718
Maximum Vertices in a Connected Component : 2538
Maximum Edges in a Connected Component : 5979
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 10.03221
Graph Density : 9.87708485535107E-05
Modularity : 0.589769
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,004 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, 11 October 2021 at 05:04 UTC.
The requested start date was Monday, 11 October 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 3-day, 0-hour, 37-minute period from Wednesday, 06 October 2021 at 10:31 UTC to Saturday, 09 October 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:
[820] healthcare,workers [608] healthcare,education [547] take,away [544] government,threatens [544] threatens,take [544] away,individuals [544] individuals,right [544] right,employment [544] employment,healthcare [544] education,ability Top Word Pairs in Tweet in G1:
[37] healthcare,workers [34] covid,19 [20] #health,#healthcare [14] healthcare,system [14] find,more [13] healthcare,professionals [13] ãƒ,ム[12] health,care [11] healthcare,clients [11] medpro,healthcare Top Word Pairs in Tweet in G2:
[520] government,threatens [520] threatens,take [520] take,away [520] away,individuals [520] individuals,right [520] right,employment [520] employment,healthcare [520] healthcare,education [520] education,ability [519] robschneider,government Top Word Pairs in Tweet in G3:
[217] human,right [215] aoc,healthcare [214] healthcare,entitlement [214] entitlement,earned [214] earned,human [98] many,media [98] media,stop [98] stop,saying [98] saying,country [98] country,evenly Top Word Pairs in Tweet in G4:
[230] covid,19 [227] against,moderate [227] moderate,covid [204] merck,co's [204] co's,experimental [204] experimental,antiviral [204] antiviral,drug [204] drug,molnupiravir [204] molnupiravir,shown [204] shown,significant Top Word Pairs in Tweet in G5:
[335] destroyed,disrupted [335] public,services [335] services,such [335] such,education [335] education,healthcare [335] healthcare,banking [334] basic,public [334] banking,security [319] ethiopian,govt [319] govt,destroyed Top Word Pairs in Tweet in G6:
[164] healthcare,system [152] entire,healthcare [151] clear,entire [151] system,high [151] high,jacked [151] jacked,pharmaceutical [151] pharmaceutical,industry [151] industry,physicians [150] shawnbakermd,clear [150] physicians,ar Top Word Pairs in Tweet in G7:
[270] healthcare,workers [268] vaccinated,healthcare [134] study,suggests [134] suggests,delta [134] delta,variant [134] variant,being [134] being,spread [134] spread,vaccinated [134] workers,vaccinated [133] repthomasmassie,study Top Word Pairs in Tweet in G8:
[12] grows,skin [11] future,#healthcare [11] #healthcare,#robot [11] #robot,care [11] care,takers [11] takers,grace [11] grace,sophie [11] sophie,#innovation [11] #innovation,#100daysofcoding [11] #100daysofcoding,#techforgood Top Word Pairs in Tweet in G9:
[72] oxygen,plants [59] honour,inaugurating [59] inaugurating,oxygen [59] plants,india [59] india,year [59] year,government [59] government,india [59] india,worked [58] narendramodi,honour [58] worked,extensiv Top Word Pairs in Tweet in G10:
[45] healthcare,workers [44] healthcare,worker [43] believe,right [43] right,know [43] know,healthcare [43] worker,caring [43] caring,loved [43] loved,one [43] one,vaccinated [42] drrobdavidson,believe 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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