The graph represents a network of 1,025 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 February 2020 at 03:15 UTC.
The requested start date was Tuesday, 18 February 2020 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 10-day, 10-hour, 25-minute period from Tuesday, 04 February 2020 at 02:05 UTC to Friday, 14 February 2020 at 12:30 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 : 1025
Unique Edges : 1314
Edges With Duplicates : 1264
Total Edges : 2578
Number of Edge Types : 4
MentionsInRetweet : 1160
Mentions : 741
Replies to : 112
Tweet : 565
Self-Loops : 565
Reciprocated Vertex Pair Ratio : 0.0627705627705628
Reciprocated Edge Ratio : 0.118126272912424
Connected Components : 91
Single-Vertex Connected Components : 32
Maximum Vertices in a Connected Component : 702
Maximum Edges in a Connected Component : 2094
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.295713
Graph Density : 0.00140339176829268
Modularity : 0.524161
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 1,025 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 February 2020 at 03:15 UTC.
The requested start date was Tuesday, 18 February 2020 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 10-day, 10-hour, 25-minute period from Tuesday, 04 February 2020 at 02:05 UTC to Friday, 14 February 2020 at 12:30 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:
[113] #mhealth,#hcsm [99] #hcsm,#hcsmeu [66] top,influencers [64] #meded,#foamed [59] #medtwitter,#hcsm [59] health,hashtag [52] ãƒ,ム[48] #foamed,#hcsm [41] #hcsm,#meded [41] #meded,#medtwitter Top Word Pairs in Tweet in G1:
[61] top,influencers [56] health,hashtag [17] healthhashtags,top [12] scoop,mightycasey [12] mightycasey,talks [12] talks,former [12] former,chief [12] chief,informatics [12] informatics,scientist [12] scientist,fda Top Word Pairs in Tweet in G2:
[112] #mhealth,#hcsm [91] #hcsm,#hcsmeu [34] #digitalhealth,#mhealth [32] #hcsm,#mhealth [27] #hcsm,#meded [20] #hcsm,#hcmkg [20] beijing,time [17] #hcmktg,#hcsm [16] #doctors,#nurses [16] #meded,#healthtalk Top Word Pairs in Tweet in G3:
[7] cdcgov,thelancet [7] thelancet,70 [7] 70,orgs [7] orgs,globally [7] globally,including [7] including,medical [7] medical,journals [7] journals,thelancet [7] thelancet,elsevierconnect [7] elsevierconnect,jama_current Top Word Pairs in Tweet in G4:
[10] #pflege,#ausbildung [6] generalistischen,#pflege [4] hcsm_eu,pflege_news [4] fã,die [4] _thinkforsky_,pflege_news [3] die,ersten [3] die,die [3] die,lehrer [2] pflege_news,kurz [2] kurz,anzufügen Top Word Pairs in Tweet in G5:
[8] giving,talk [8] talk,physician [8] physician,branding [8] branding,online [8] online,navigation [8] navigation,strategies [8] strategies,upcoming [8] upcoming,#conference [8] #conference,florida [8] florida,yep Top Word Pairs in Tweet in G6:
[39] #meded,#medtwitter [38] #medtwitter,#hcsm [28] #meded,#foamed [25] #foamed,#hcsm [23] #usmle,#meded [20] #hcsm,#foamed [20] #lovehowyoulearn,#flashfacts [20] #flashfacts,#usmle [17] #foamed,#nursetwitter [13] #hcsm,#nursetwitter Top Word Pairs in Tweet in G7:
[26] lung,cancer [21] doctors,patients [21] patients,still [21] still,nihilistic [21] nihilistic,dx [21] dx,lung [21] cancer,better [21] better,study [21] study,effects [21] effects,stigma Top Word Pairs in Tweet in G8:
[24] ty,usatoday [24] usatoday,including [24] including,essay [24] essay,#healthcare [24] #healthcare,#healthcosts [24] #healthcosts,#healthprivacy [24] #healthprivacy,paper [24] paper,online [23] healthythinker,ty [9] #resusteaching,#meded Top Word Pairs in Tweet in G9:
[13] #hcsm,#hcsmsa [11] #hcsm,#hcsmafrica [7] #hcsmafrica,#hcsmsa [6] eu,wide [6] wide,public [6] public,consultation [6] consultation,europe's [6] europe's,beating [6] beating,cancer [6] cancer,plan Top Word Pairs in Tweet in G10:
[5] ø,ù [5] ù,ø [4] #hcldr,#hcsm [3] ø,ø [3] health,care [2] ù,ù [2] _ø,ù [2] #hcsm,#digitalhealth [2] #radiology,#hcsm [2] #hcsm,#openaccess 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 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: