The graph represents a network of 9,892 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, 29 November 2021 at 06:06 UTC.
The requested start date was Monday, 29 November 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 3-day, 0-hour, 47-minute period from Thursday, 25 November 2021 at 10:21 UTC to Sunday, 28 November 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 : 9892
Unique Edges : 5404
Edges With Duplicates : 11516
Total Edges : 16920
Number of Edge Types : 5
Retweet : 5310
MentionsInRetweet : 6330
Mentions : 2472
Tweet : 2066
Replies to : 742
Self-Loops : 2108
Reciprocated Vertex Pair Ratio : 0.0131958305611
Reciprocated Edge Ratio : 0.0260479369596148
Connected Components : 2213
Single-Vertex Connected Components : 786
Maximum Vertices in a Connected Component : 3058
Maximum Edges in a Connected Component : 6553
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 9.655086
Graph Density : 9.33854713915034E-05
Modularity : 0.576737
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 9,892 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, 29 November 2021 at 06:06 UTC.
The requested start date was Monday, 29 November 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 3-day, 0-hour, 47-minute period from Thursday, 25 November 2021 at 10:21 UTC to Sunday, 28 November 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:
[853] healthcare,workers [486] healthcare,system [413] workers,everywhere [413] everywhere,thank [410] charliemackesy,healthcare [269] world,class [216] health,secretary [207] covid,19 [206] healthcare,staff [204] sajid,javid Top Word Pairs in Tweet in G1:
[49] healthcare,workers [30] covid,19 [29] healthcare,professionals [23] healthcare,system [17] #health,#healthcare [15] find,more [14] healthcare,services [12] alarmed,covid [12] covid,variant [11] best,healthcare Top Word Pairs in Tweet in G2:
[409] healthcare,workers [409] workers,everywhere [409] everywhere,thank [407] charliemackesy,healthcare [2] girls,nov [2] nov,zoom [2] zoom,meeting [2] meeting,tomorrow [2] tomorrow,night [2] night,looking Top Word Pairs in Tweet in G3:
[192] months,job [192] job,indefensible [192] indefensible,health [192] health,secretary [192] secretary,sajid [192] sajid,javid [192] javid,still [192] still,possesses [192] possesses,thousands [192] thousands,pounds Top Word Pairs in Tweet in G4:
[81] covid,19 [75] coronavirus,variant [70] newly,identified [70] identified,coronavirus [62] reuters,britain [61] african,countries [59] concerns,over [58] over,newly [58] banned,flights [58] flights,six Top Word Pairs in Tweet in G5:
[172] healthcare,system [170] went,lockdown [170] lockdown,more [170] more,600 [170] 600,days [170] days,ago [170] ago,flatten [170] flatten,curve [170] curve,prepare [170] prepare,healthcare Top Word Pairs in Tweet in G6:
[181] healthcare,staff [174] mount,sinai [174] sinai,long [174] long,beach [174] beach,hospital [174] hospital,fired [174] fired,72 [174] 72,healthcare [174] staff,due [174] due,vaccine Top Word Pairs in Tweet in G7:
[22] healthcare,system [21] future,healthcare [21] letter,intimation [21] intimation,hon [21] hon,ble [21] ble,mansukhmandviya [21] mansukhmandviya,sir [21] sir,regarding [21] regarding,withdrawal [21] withdrawal,#opd Top Word Pairs in Tweet in G8:
[14] #iot,#ml [12] 1st,time [12] time,scientists [12] scientists,used [12] used,tiny [12] tiny,#robots [12] #robots,cure [12] cure,infections [12] infections,wef [12] wef,#healthtech Top Word Pairs in Tweet in G9:
[126] bts,literally [126] literally,gave [126] gave,millions [126] millions,people [126] people,another [126] another,reason [126] reason,hold [126] hold,throughout [126] throughout,pandemic [126] pandemic,hope Top Word Pairs in Tweet in G10:
[53] private,healthcare [48] healthcare,companies [46] nhs,privatisation [46] privatisation,over [46] over,60 [46] 60,tory [46] tory,mps [46] mps,peers [46] peers,financial [46] financial,links 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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