The graph represents a network of 998 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, 15 June 2021 at 16:27 UTC.
The requested start date was Tuesday, 15 June 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 13-day, 23-hour, 47-minute period from Tuesday, 01 June 2021 at 00:13 UTC to Tuesday, 15 June 2021 at 00:00 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 : 998
Unique Edges : 1031
Edges With Duplicates : 4652
Total Edges : 5683
Number of Edge Types : 5
Mentions : 940
Retweet : 1543
MentionsInRetweet : 2363
Replies to : 77
Tweet : 760
Self-Loops : 783
Reciprocated Vertex Pair Ratio : 0.102180685358255
Reciprocated Edge Ratio : 0.185415488976823
Connected Components : 64
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 564
Maximum Edges in a Connected Component : 2666
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.565821
Graph Density : 0.00177787872635944
Modularity : 0.263977
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 998 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, 15 June 2021 at 16:27 UTC.
The requested start date was Tuesday, 15 June 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 13-day, 23-hour, 47-minute period from Tuesday, 01 June 2021 at 00:13 UTC to Tuesday, 15 June 2021 at 00:00 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:
[973] join,#npc_india_gov [973] #npc_india_gov,#webinar [973] #webinar,#lean [973] #lean,#healthcare [973] #healthcare,#management [973] #management,27 [973] 27,06 [973] 06,2021 [973] 2021,10 [973] 10,pm Top Word Pairs in Tweet in G1:
[137] top,influencers [52] health,hashtag [32] healthhashtags,top [16] today's,health [16] health,conferences [10] more,š [9] influencers,#chlaabsc21 [8] #mhaconf21,mentalhealtham [8] influencers,#eraedta21 [8] #eraedta21,eraedta Top Word Pairs in Tweet in G2:
[973] join,#npc_india_gov [973] #npc_india_gov,#webinar [973] #webinar,#lean [973] #lean,#healthcare [973] #healthcare,#management [973] #management,27 [973] 27,06 [973] 06,2021 [973] 2021,10 [973] 10,pm Top Word Pairs in Tweet in G3:
[61] #meded,#medtwitter [58] #medtwitter,#hcsm [54] #meded,#foamed [54] #foamed,#hcsm [53] #usmle,#meded [31] #lovehowyoulearn,#flashfacts [31] #flashfacts,#usmle [29] #hcsm,#teamgp [24] #hcsm,#healthcare [24] #healthcare,#foamed Top Word Pairs in Tweet in G4:
[116] #mhealth,#hcsm [107] #hcsm,#hcsmeu [18] #pharma,#pharmavoice [18] #pharmavoice,#statnews [16] #statnews,#mmmnews [15] #hcsm,#hcmkg [13] #mmmnews,#pharmaforum [12] digital,health [11] covid,19 [11] #pharmaforum,#pharmatimes Top Word Pairs in Tweet in G5:
[9] ðµð,ðµ [8] ðµð,ðµð [7] ñƒð,ðµð [5] в,россии [4] ñƒñ,ðµð [4] ðµð,ðµñ [4] ðµ,ðºð [4] ðµñ,ñœ [4] ðµ,ñƒñ [3] ðµð,ñœ Top Word Pairs in Tweet in G6:
[18] impact,influence [17] social,media [15] relation,between [15] between,scholars' [15] #socialmedia,#hcsm [11] media,vehicle [11] vehicle,impact [11] influence,scholars [11] scholars,cram [11] cram,framework Top Word Pairs in Tweet in G7:
[9] top,influencers [9] influencers,hashtag [5] aljanosi,youngdgk [5] youngdgk,dgk_org [5] dgk_org,ruhparwar [5] ruhparwar,aweymannmd [4] aortatank,top [3] hashtag,#aorticdissection [3] #aorticdissection,aljanosi [3] aweymannmd,unidue Top Word Pairs in Tweet in G8:
[32] top,influencers [32] influencers,#asco21 [32] #asco21,asco [32] asco,oncoalert [27] oncoalert,tmprowell [14] tmprowell,viveksubbiah [14] viveksubbiah,drchoueiri [13] drchoueiri,neerajaiims [12] neerajaiims,ishwariamd [11] ishwariamd,glopesmd Top Word Pairs in Tweet in G9:
[9] haven't,already [9] already,please [9] please,subscribe [9] subscribe,ssatnews [9] ssatnews,journalofgisurg [9] journalofgisurg,podcast [9] podcast,outstanding [9] outstanding,content [8] seanlangenfeld,haven't [4] #dcrjournal,world Top Word Pairs in Tweet in G10:
[4] learn,more [4] more,dr [4] website,#hcsm [4] #hcsm,#healthcare [4] #healthcare,#orthopedics [2] tragédia,talidomida [2] talidomida,luta [2] luta,pelos [2] pelos,direitos [2] direitos,vítimas Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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: