The graph represents a network of 803 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, 01 September 2020 at 17:31 UTC.
The requested start date was Tuesday, 01 September 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 13-day, 22-hour, 16-minute period from Tuesday, 18 August 2020 at 01:10 UTC to Monday, 31 August 2020 at 23:26 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 : 803
Unique Edges : 634
Edges With Duplicates : 2353
Total Edges : 2987
Number of Edge Types : 5
Replies to : 59
Mentions : 618
Retweet : 669
MentionsInRetweet : 1084
Tweet : 557
Self-Loops : 567
Reciprocated Vertex Pair Ratio : 0.0822041553748871
Reciprocated Edge Ratio : 0.151919866444073
Connected Components : 78
Single-Vertex Connected Components : 26
Maximum Vertices in a Connected Component : 373
Maximum Edges in a Connected Component : 1937
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.689539
Graph Density : 0.00186023111585917
Modularity : 0.364628
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 803 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, 01 September 2020 at 17:31 UTC.
The requested start date was Tuesday, 01 September 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 13-day, 22-hour, 16-minute period from Tuesday, 18 August 2020 at 01:10 UTC to Monday, 31 August 2020 at 23:26 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:
[130] #mhealth,#hcsm [109] covid,19 [106] #hcsm,#hcsmeu [94] top,influencers [66] #meded,#foamed [62] #hcmktg,#hcsm [61] #foamed,#hcsm [47] kidney,doctor [47] doctor,internist [47] internist,posting Top Word Pairs in Tweet in G1:
[74] top,influencers [30] healthhashtags,top [22] health,hashtag [14] today's,health [14] health,conferences [11] influencers,#hid2020 [11] #hid2020,heartindiabetes [10] influencers,#pcp2020 [9] influencers,#esc2020 [8] heartindiabetes,budoffmd Top Word Pairs in Tweet in G2:
[46] daily,news [45] #usmle,#meded [45] #meded,#foamed [45] #foamed,#hcsm [42] #hcsm,#healthit [41] #hcmktg,#hcsm [41] #healthit,#meded [41] #meded,#patient [38] #patient,#physicians [37] #physicians,#telemedicine Top Word Pairs in Tweet in G3:
[26] covid,19 [16] 19,#infodemic [14] organised,reactgroup [14] reactgroup,africacdc [13] presentation,tomorrow [13] tomorrow,organised [13] africacdc,covid [13] #infodemic,help [13] help,csos [13] csos,improve Top Word Pairs in Tweet in G4:
[47] kidney,doctor [47] doctor,internist [47] internist,posting [47] posting,colorectal [47] colorectal,screening [47] screening,tip [47] tip,part [47] part,job [47] job,part [46] hellokidneymd,kidney Top Word Pairs in Tweet in G5:
[13] salvage,surgery [13] surgery,#watchandwait [13] #watchandwait,#rectalcancer [13] #rectalcancer,organ [13] organ,preservation [13] preservation,possible [13] possible,check [13] check,#visualabstract [12] dcrjournal,salvage [7] meta,analysis Top Word Pairs in Tweet in G6:
[14] лала,лала [14] тете,тете [13] гуга,гуга [6] ай,да [5] dariakhov,alexvolganin [5] alexvolganin,kelevra_vsemid [5] kelevra_vsemid,teamrussia [4] при,тедеско [4] fcsm_hcsm,dariakhov [3] если,бы Top Word Pairs in Tweet in G7:
[30] honoured,voice [30] voice,frontline [30] frontline,mds [30] mds,patients [30] patients,senateca [30] senateca,#unfairtaxchanges [30] #unfairtaxchanges,#cdnpoli [30] #cdnpoli,#onpoli [30] #onpoli,#onhealth [29] dockaurg,honoured Top Word Pairs in Tweet in G8:
[10] summary,includes [10] potential,complications [7] covid,19 [7] use,magnesium [7] magnesium,sulfate [7] sulfate,eclampsia [7] eclampsia,summary [7] includes,dosing [7] dosing,well [7] well,potential Top Word Pairs in Tweet in G9:
[10] covid,19 [8] #hcldr,#hcsm [7] #hcsm,#physicianburnout [6] #hcsm,#hitsm [5] heart,healer [5] healer,#physicianwellness [5] #physicianwellness,retreat [5] retreat,live [5] live,person [5] october,25 Top Word Pairs in Tweet in G10:
[130] #mhealth,#hcsm [104] #hcsm,#hcsmeu [20] #pharma,#pharmavoice [20] #pharmavoice,#statnews [20] #statnews,#mmmnews [19] #doctors,#nurses [19] #mmmnews,#pharmaforum [16] #nurses,#ahps [16] covid,19 [15] #hcsm,#meded Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G6:
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: