The graph represents a network of 4,838 Twitter users whose tweets in the requested range contained "ehealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 15 February 2021 at 06:04 UTC.
The requested start date was Monday, 15 February 2021 at 01:01 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 11-day, 20-hour, 35-minute period from Tuesday, 02 February 2021 at 16:02 UTC to Sunday, 14 February 2021 at 12:37 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 : 4838
Unique Edges : 5730
Edges With Duplicates : 15595
Total Edges : 21325
Number of Edge Types : 5
Retweet : 4839
MentionsInRetweet : 9097
Mentions : 5410
Tweet : 1522
Replies to : 457
Self-Loops : 1601
Reciprocated Vertex Pair Ratio : 0.0319031903190319
Reciprocated Edge Ratio : 0.0618336886993603
Connected Components : 309
Single-Vertex Connected Components : 157
Maximum Vertices in a Connected Component : 4034
Maximum Edges in a Connected Component : 19980
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.190415
Graph Density : 0.000400830616758668
Modularity : 0.386088
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 4,838 Twitter users whose tweets in the requested range contained "ehealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 15 February 2021 at 06:04 UTC.
The requested start date was Monday, 15 February 2021 at 01:01 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 11-day, 20-hour, 35-minute period from Tuesday, 02 February 2021 at 16:02 UTC to Sunday, 14 February 2021 at 12:37 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 : ehealth
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:
[386] wef,enricomolinari [354] enricomolinari,#ehealth [284] seguimiento,#ehealth [222] #insurtech,#proptech [198] digital,health [193] covid,19 [191] #ai,#iot [189] #health,#healthcareit [186] #healthcareit,#ehealth [180] matt,anderson Top Word Pairs in Tweet in G1:
[361] wef,enricomolinari [326] enricomolinari,#ehealth [212] #insurtech,#proptech [173] #ai,#iot [165] #iot,#marketing [164] enricomolinari,#ai [136] gigadgets_,enricomolinari [132] techinsider,enricomolinari [112] #5g,#iot [110] history,gaming Top Word Pairs in Tweet in G2:
[284] seguimiento,#ehealth [174] #health,#healthcareit [174] #healthcareit,#ehealth [157] #ehealth,#healthcare [138] #ehealth,#health [121] digital,health [119] #healthcare,#digitalhealth [106] ghirardieugenio,seguimiento [86] covid,19 [74] health,world Top Word Pairs in Tweet in G3:
[24] #digitalhealth,#wearables [23] #ehealth,#medicaldevice [23] #wearables,series [20] cherries_eu,calls [20] calls,solutions [19] active,healthy [18] alert,cherries_eu [18] solutions,open [18] open,february [18] february,15th Top Word Pairs in Tweet in G4:
[75] cdctravel,cdcdirector [74] cdcgov,cdctravel [62] cdcdirector,whcovidresponse [54] presssec,vp [54] whcovidresponse,#loveisnottourism [54] #loveisnottourism,reunification [54] reunification,done [54] done,done [54] done,safely [54] safely,please Top Word Pairs in Tweet in G5:
[179] matt,anderson [122] uoft_dlsph,ontariohealthoh [121] behind,ehealth [121] ehealth,ontario [118] anderson,behind [117] ontariohealthoh,matt [116] ontario,scandal [97] celliottability,fordnation [95] fordnation,uoft_dlsph [68] lost,billion Top Word Pairs in Tweet in G6:
[23] #covid19ph,#covid19 [23] #covid19,#uhc [19] dr,guzman [17] ehealth,inc [17] #uhc,#covid19 [17] #covid19,#covid19ph [17] #uhc,#healthcare [17] #healthcare,#hcpn [16] covid,19 [13] dr,sabalberino Top Word Pairs in Tweet in G7:
[113] μέσα,σε [113] σε,λιγότερο [113] λιγότερο,από [113] από,11 [113] 11,μήνες [113] μήνες,500 [113] 500,000 [113] 000,πολίτες [113] πολίτες,έχουν [113] έχουν,ήδη Top Word Pairs in Tweet in G8:
[20] #athx,athersys [20] athersys,inc [20] inc,#vxrt [20] #vxrt,vaxart [20] vaxart,inc [20] inc,#vbiv [20] #vbiv,vbi [20] vbi,vaccines [20] vaccines,inc [20] inc,#ehth Top Word Pairs in Tweet in G9:
[14] ncdcgov,chikwe_i [14] chikwe_i,fmohnigeria [11] fmohnigeria,fmicnigeria [9] noa_nigeria,ptfcovid19 [8] whonigeria,nighealthwatch [7] fmicnigeria,noa_nigeria [6] ptfcovid19,nmanigeria [6] nmanigeria,whonigeria [6] nighealthwatch,ehealth_africa [5] africacdc,ehealth_africa Top Word Pairs in Tweet in G10:
[17] #digitalhealthweek21,starts [17] starts,monday [17] monday,still [17] still,free [17] free,tickets [17] tickets,available [17] available,send [17] send,dm [17] dm,details [17] details,conference Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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