The graph represents a network of 1,201 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 Thursday, 21 November 2019 at 02:16 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 7-minute period from Tuesday, 05 November 2019 at 01:10 UTC to Tuesday, 19 November 2019 at 00:17 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 : 1201
Unique Edges : 1506
Edges With Duplicates : 2505
Total Edges : 4011
Number of Edge Types : 3
Mentions : 2594
Tweet : 1177
Replies to : 240
Self-Loops : 1177
Reciprocated Vertex Pair Ratio : 0.0673267326732673
Reciprocated Edge Ratio : 0.126159554730983
Connected Components : 117
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 710
Maximum Edges in a Connected Component : 3063
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.705527
Graph Density : 0.00112198168193172
Modularity : 0.385046
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,201 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 Thursday, 21 November 2019 at 02:16 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 7-minute period from Tuesday, 05 November 2019 at 01:10 UTC to Tuesday, 19 November 2019 at 00:17 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[773] #health,#nutrition [739] #nutrition,#life [689] #life,#hcsm [614] #hcsm,#healthy [591] ð,ð [513] #healthy,#digitalhealth [447] #digitalhealth,#4patients [399] #4patients,#foamed [390] #meded,#healthtalk [376] #foamed,#mhealth Top Word Pairs in Tweet in G1:
[22] pflege_news,wissrat [22] hcsm_eu,pflege_news [9] professorpflege,hcsm_eu [6] pflege_news,hsgbochum [6] hsgbochum,dt_aerzteblatt [5] â,œ [5] wissrat,klar [5] klar,aber [5] aber,dass [5] dass,haw Top Word Pairs in Tweet in G2:
[629] #health,#nutrition [611] #nutrition,#life [577] #life,#hcsm [526] #hcsm,#healthy [465] #healthy,#digitalhealth [420] #digitalhealth,#4patients [388] #4patients,#foamed [384] #meded,#healthtalk [367] #foamed,#mhealth [352] #mhealth,#meded Top Word Pairs in Tweet in G3:
[144] #health,#nutrition [128] #nutrition,#life [112] #life,#hcsm [105] #doctors,#hospital [96] #hospital,#health [88] #hcsm,#healthy [83] #healthcareit,#ehealth [81] #health,#healthcareit [76] #ehealth,#healthcare [72] #healthcare,#digitalhealth Top Word Pairs in Tweet in G4:
[19] #hcsm,#hcsmafrica [18] #hcsmafrica,#hcsmsa [15] #hcsm,#hcsmsa [15] latest,pharmageek [15] pharmageek,news [15] news,journal [14] journal,thanks [11] social,media [11] #meded,#foamed [11] #foamed,#hcsm Top Word Pairs in Tweet in G5:
[320] ã,ã [37] ã,ム[36] æ,ã [35] ãƒ,ã [35] ãƒ,ム[29] ªã,ã [23] ã,œã [22] ã,å [21] ã,ªã [21] ã,ÿã Top Word Pairs in Tweet in G6:
[28] social,media [13] media,tips [13] tips,brilliant [13] brilliant,choo_ek [13] clear,message [13] find,develop [12] choo_ek,✠[12] âœ,clear [12] message,✠[12] âœ,find Top Word Pairs in Tweet in G7:
[591] ð,ð [217] ð,ñ [191] ñ,ð [87] ñ,ñ [35] ðµð,ð [33] ð,ðµð [32] ð,ðµñ [31] ñ,ðµð [30] ðµñ,ð [27] ðµ,ð Top Word Pairs in Tweet in G8:
[15] #savethedate,1st [15] 1st,annual [11] ahsm_org,announced [11] meeting,gohealio [11] official,media [11] media,partner [11] partner,#medtwitter [11] #medtwitter,#hcsm [10] announced,#savethedate [10] annual,meeting Top Word Pairs in Tweet in G9:
[52] american,board [44] board,internal [34] 4,million [32] internal,medicine [29] charlespkroll,american [27] 2008,2017 [25] american,medical [25] medical,association [25] association,membership [25] membership,dues Top Word Pairs in Tweet in G10:
[7] social,media [6] #digitalhealth,#hcsm [5] aha,market [5] market,scan [4] #healthcare,#hcsm [4] #hcsm,#confidential [4] #therapy,#counseling [4] health,researchers [4] researchers,use [4] use,social Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: