The graph represents a network of 1,059 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, 20 October 2020 at 17:28 UTC.
The requested start date was Tuesday, 20 October 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, 18-hour, 17-minute period from Tuesday, 06 October 2020 at 00:46 UTC to Monday, 19 October 2020 at 19:03 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 : 1059
Unique Edges : 956
Edges With Duplicates : 2866
Total Edges : 3822
Number of Edge Types : 5
Retweet : 724
MentionsInRetweet : 1219
Replies to : 124
Mentions : 1126
Tweet : 629
Self-Loops : 635
Reciprocated Vertex Pair Ratio : 0.0712871287128713
Reciprocated Edge Ratio : 0.133086876155268
Connected Components : 74
Single-Vertex Connected Components : 31
Maximum Vertices in a Connected Component : 680
Maximum Edges in a Connected Component : 2530
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.549281
Graph Density : 0.00144856134563584
Modularity : 0.382435
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,059 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, 20 October 2020 at 17:28 UTC.
The requested start date was Tuesday, 20 October 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, 18-hour, 17-minute period from Tuesday, 06 October 2020 at 00:46 UTC to Monday, 19 October 2020 at 19:03 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:
[186] top,influencers [95] 2020,10 [95] 10,26 [89] #mhealth,#hcsm [89] #hcsm,#hcsmeu [79] covid,19 [57] eyes,wide [57] wide,open [56] #ì,ë [56] #meded,#foamed Top Word Pairs in Tweet in G1:
[134] top,influencers [55] health,hashtag [20] healthhashtags,top [12] today's,health [12] health,conferences [8] #ihwg2020,h4hinitiative [8] influencers,#ihwg2020 [7] amcollsurgeons,swexner [7] influencers,#smdm20 [7] #smdm20,socmdm Top Word Pairs in Tweet in G2:
[17] good,practices [17] practices,harnessing [17] harnessing,#socialmedia [17] #socialmedia,scholarly [17] scholarly,discourse [17] discourse,knowledge [17] knowledge,translation [17] translation,education [17] education,tchanmd [17] tchanmd,great Top Word Pairs in Tweet in G3:
[89] #mhealth,#hcsm [86] #hcsm,#hcsmeu [32] covid,19 [18] #pharma,#pharmavoice [18] #pharmavoice,#statnews [18] #statnews,#mmmnews [18] #covid,19 [15] digital,health [14] #hcsm,#mhealth [14] #mmmnews,#pharmaforum Top Word Pairs in Tweet in G4:
[95] 2020,10 [95] 10,26 [57] eyes,wide [57] wide,open [56] #ì,ë [52] ë,ì [52] twice,2nd [52] 2nd,full [52] full,album [50] album,eyes Top Word Pairs in Tweet in G5:
[20] social,media [7] best,practice [7] practice,healthcare [7] healthcare,professionals [6] create,social [6] media,mission [6] mission,statement [6] statement,healthcare [6] healthcare,business [6] good,look Top Word Pairs in Tweet in G6:
[40] #meded,#medtwitter [29] #hcsm,#teamgp [27] #medtwitter,#hcsm [15] #medtwitter,#teamgp [14] #teamgp,#hcsm [8] #meded,#hcsm [6] #meded,#foamed [5] #teamgp,#medtwitter [5] telling,diagnosis [5] lancet,bmj_latest Top Word Pairs in Tweet in G7:
[20] covid,19 [13] #covid19uk,#hcsm [11] colonic,decompression [11] decompression,reduces [11] reduces,proximal [11] proximal,acute [11] acute,colonic [11] colonic,pseudo [11] pseudo,obstruction [11] obstruction,related Top Word Pairs in Tweet in G8:
[20] ãƒ,ム[6] ナポリの仕立て屋物語第2弾,#王様の仕立て屋 [6] #王様の仕立て屋,サルトリア [6] サルトリア,ナポレターナ [6] ナポレターナ,を [6] を,#ヤンジャン [6] #ヤンジャン,アプリで読もう [5] ペãƒ,リã [5] リã,ç [5] ç,ç Top Word Pairs in Tweet in G9:
[24] top,influencers [24] influencers,#digitalhealth [22] #digitalhealth,johnnosta [17] johnnosta,zgjr [17] zgjr,akalali [17] akalali,brennanspiegel [17] brennanspiegel,jameyedwards [11] excited,very [11] very,surprised [11] surprised,top Top Word Pairs in Tweet in G10:
[6] ðµð,ðµ [5] ñƒð,ðµñ [4] ðºð,ðµð [4] ðµñ,ðµ [4] ðµ,ñƒð [4] ðµñ,ðµñ [3] ñƒ,ðºð [3] ðµð,ñƒ [3] ðµ,ðµð [3] ðµð,ðµðº Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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: