The graph represents a network of 651 Twitter users whose tweets in the requested range contained "hcsm", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 25 August 2020 at 17:30 UTC.
The requested start date was Tuesday, 25 August 2020 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 11-day, 11-hour, 17-minute period from Tuesday, 11 August 2020 at 00:13 UTC to Saturday, 22 August 2020 at 11:30 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 : 651
Unique Edges : 465
Edges With Duplicates : 1624
Total Edges : 2089
Number of Edge Types : 5
Retweet : 492
MentionsInRetweet : 685
Mentions : 401
Tweet : 465
Replies to : 46
Self-Loops : 475
Reciprocated Vertex Pair Ratio : 0.046814044213264
Reciprocated Edge Ratio : 0.0894409937888199
Connected Components : 89
Single-Vertex Connected Components : 33
Maximum Vertices in a Connected Component : 272
Maximum Edges in a Connected Component : 1211
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.308547
Graph Density : 0.00190239867659222
Modularity : 0.375757
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 651 Twitter users whose tweets in the requested range contained "hcsm", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 25 August 2020 at 17:30 UTC.
The requested start date was Tuesday, 25 August 2020 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 11-day, 11-hour, 17-minute period from Tuesday, 11 August 2020 at 00:13 UTC to Saturday, 22 August 2020 at 11:30 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 : hcsm
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:
[115] #mhealth,#hcsm [96] #hcsm,#hcsmeu [74] covid,19 [51] #meded,#foamed [49] #hcmktg,#hcsm [45] #foamed,#hcsm [45] #onpoli,#onhealth [44] honoured,voice [44] voice,frontline [44] frontline,mds Top Word Pairs in Tweet in G1:
[31] top,influencers [24] health,hashtag [13] healthhashtags,top [9] today's,health [9] health,conferences [7] healthhashtags,health [5] #aacrlymp20,aacr [5] influencers,#aacrlymp20 [5] influencers,#ipfccvirtual2020 [4] #pbrn2020,famdocdon Top Word Pairs in Tweet in G2:
[44] honoured,voice [44] voice,frontline [44] frontline,mds [44] mds,patients [44] patients,senateca [44] senateca,#unfairtaxchanges [44] #unfairtaxchanges,#cdnpoli [44] #cdnpoli,#onpoli [44] #onpoli,#onhealth [43] dockaurg,honoured Top Word Pairs in Tweet in G3:
[14] #hcsm,#hcsmsa [13] covid,19 [11] public,health [9] important,survey [9] survey,#antimicrobialresistance [9] #antimicrobialresistance,#neonatalsepsis [9] #neonatalsepsis,please [9] please,contribute [8] _facesa,important [8] contribute,#hcs Top Word Pairs in Tweet in G4:
[6] ай,да [4] лиги,чемпионов [3] если,бы [3] финал,лиги [3] vincitoresport,channelone_rus [3] channelone_rus,guttsait [3] guttsait,tashevich [3] vpered_spartak,ай [3] да,сукин [3] сукин,сын Top Word Pairs in Tweet in G5:
[10] #hcldr,#hcsm [6] sick,healthcare [6] healthcare,workers [6] workers,under [6] under,pressure [6] pressure,back [6] back,work [6] work,#hcsm [6] #hcsm,#hitsm [5] covid,19 Top Word Pairs in Tweet in G6:
[9] salvage,surgery [9] surgery,#watchandwait [9] #watchandwait,#rectalcancer [9] #rectalcancer,organ [9] organ,preservation [9] preservation,possible [9] possible,check [9] check,#visualabstract [8] dcrjournal,salvage [5] next,#dcrjournal Top Word Pairs in Tweet in G7:
[13] welcome,day [13] day,abcovid19 [13] abcovid19,journal [11] healthythinker,welcome [8] journal,today [8] today,meet [8] meet,letters [8] letters,dr [8] dr,fauci [8] fauci,niaidnews Top Word Pairs in Tweet in G8:
[13] covid,19 [7] cdcgov,recommendations [7] use,magnesium [7] magnesium,sulfate [7] sulfate,eclampsia [7] eclampsia,summary [7] summary,includes [7] includes,dosing [7] dosing,well [7] well,potential Top Word Pairs in Tweet in G9:
[39] daily,news [37] #usmle,#meded [37] #meded,#foamed [37] news,healthcare [36] #foamed,#hcsm [31] read,more [31] #hcmktg,#hcsm [31] #hcsm,#healthit [31] #healthit,#meded [31] #meded,#patient Top Word Pairs in Tweet in G10:
[21] #meded,#medtwitter [20] #medtwitter,#hcsm [20] #hcsm,#teamgp [5] #medtwitter,#teamgp [3] #teamgp,#hcsm [3] #teamgp,gpconsortia [3] pulsetoday,bmj_latest [3] uk,patients [3] patients,#mecfs [3] #mecfs,please Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G7:
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: