The graph represents a network of 836 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, 18 August 2020 at 17:30 UTC.
The requested start date was Tuesday, 18 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 13-day, 21-hour, 46-minute period from Tuesday, 04 August 2020 at 00:13 UTC to Monday, 17 August 2020 at 21:59 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 : 836
Unique Edges : 663
Edges With Duplicates : 1989
Total Edges : 2652
Number of Edge Types : 5
Retweet : 577
MentionsInRetweet : 863
Mentions : 543
Tweet : 530
Replies to : 139
Self-Loops : 535
Reciprocated Vertex Pair Ratio : 0.0509915014164306
Reciprocated Edge Ratio : 0.0970350404312668
Connected Components : 95
Single-Vertex Connected Components : 37
Maximum Vertices in a Connected Component : 300
Maximum Edges in a Connected Component : 1290
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.696283
Graph Density : 0.00159441881786666
Modularity : 0.40422
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 836 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, 18 August 2020 at 17:30 UTC.
The requested start date was Tuesday, 18 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 13-day, 21-hour, 46-minute period from Tuesday, 04 August 2020 at 00:13 UTC to Monday, 17 August 2020 at 21:59 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:
[135] #mhealth,#hcsm [116] #hcsm,#hcsmeu [72] #meded,#foamed [69] covid,19 [68] #foamed,#hcsm [63] #onpoli,#onhealth [62] honoured,voice [62] voice,frontline [62] frontline,mds [62] mds,patients Top Word Pairs in Tweet in G1:
[44] health,hashtag [35] top,influencers [17] healthhashtags,top [13] today's,health [13] health,conferences [10] influencers,#asco20 [10] #asco20,asco [10] asco,tmprowell [10] tmprowell,oncoalert [6] influencers,#ase2020 Top Word Pairs in Tweet in G2:
[19] ðµñ,ðµñ [17] ðµð,ðµð [17] ðµñ,ðµð [17] fcsm_hcsm,spivak_alex [16] ðµ,ðµð [15] ðµ,ðµñ [14] ðµð,ðµ [13] ðµð,ñœ [13] ðµ,ðµ [11] ðµð,ðµñ Top Word Pairs in Tweet in G3:
[63] #onpoli,#onhealth [62] honoured,voice [62] voice,frontline [62] frontline,mds [62] mds,patients [62] patients,senateca [62] senateca,#unfairtaxchanges [62] #unfairtaxchanges,#cdnpoli [62] #cdnpoli,#onpoli [61] dockaurg,honoured Top Word Pairs in Tweet in G4:
[19] #hcsm,#hcsmsa [12] antibiotic,resistance [9] honour,moderate [9] moderate,session [9] session,health [9] health,innovation [9] innovation,africa [9] africa,year's [9] year's,tropicsbusiness [9] tropicsbusiness,summit Top Word Pairs in Tweet in G5:
[7] #hcldr,#hcsm [7] sick,healthcare [7] healthcare,workers [7] workers,under [7] under,pressure [7] pressure,back [7] back,work [7] work,#hcsm [7] #cancer,#fightthefear [7] #fightthefear,#hcsm Top Word Pairs in Tweet in G6:
[14] #lcsm,chat [14] chat,discussed [14] discussed,#covid_19 [14] #covid_19,lung [14] lung,cancer [14] cancer,much [14] much,changed [14] changed,months [14] months,usa [14] usa,million Top Word Pairs in Tweet in G7:
[47] #usmle,#meded [47] #meded,#foamed [46] #foamed,#hcsm [40] daily,news [38] read,more [34] #hcmktg,#hcsm [34] #hcsm,#healthit [34] #healthit,#meded [34] #meded,#patient [33] #patient,#physicians Top Word Pairs in Tweet in G8:
[135] #mhealth,#hcsm [111] #hcsm,#hcsmeu [18] #pharma,#pharmavoice [18] #pharmavoice,#statnews [18] #statnews,#mmmnews [18] #mmmnews,#pharmaforum [17] digital,health [13] covid,19 [12] #pharmaforum,#pharmatimes [12] becoming,alphabet Top Word Pairs in Tweet in G9:
[13] welcome,day [13] day,abcovid19 [13] abcovid19,journal [11] healthythinker,welcome [10] abcovid,19 [10] 19,journal [10] journal,wk [10] wk,holiday [10] holiday,sharing [10] sharing,mini Top Word Pairs in Tweet in G10:
[28] #hcsm,#teamgp [26] #meded,#medtwitter [24] #medtwitter,#hcsm [10] #medtwitter,#teamgp [9] benzo,withdrawal [8] withdrawal,hell [8] hell,ppl [8] ppl,unbelievable [8] unbelievable,torture [8] torture,years Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G9:
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: