The graph represents a network of 2,999 Twitter users whose tweets in the requested range contained "digitalhealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 08 July 2022 at 22:21 UTC.
The requested start date was Friday, 08 July 2022 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 3-day, 13-hour, 20-minute period from Monday, 04 July 2022 at 10:39 UTC to Friday, 08 July 2022 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 : 2999
Unique Edges : 3029
Edges With Duplicates : 12779
Total Edges : 15808
Number of Edge Types : 5
Tweet : 1391
Retweet : 5297
MentionsInRetweet : 6879
Mentions : 2159
Replies to : 82
Self-Loops : 1761
Reciprocated Vertex Pair Ratio : 0.0371826957454415
Reciprocated Edge Ratio : 0.0716994139951741
Connected Components : 175
Single-Vertex Connected Components : 86
Maximum Vertices in a Connected Component : 2620
Maximum Edges in a Connected Component : 15234
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.57408
Graph Density : 0.000645311835099136
Modularity : 0.282575
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,999 Twitter users whose tweets in the requested range contained "digitalhealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 08 July 2022 at 22:21 UTC.
The requested start date was Friday, 08 July 2022 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 3-day, 13-hour, 20-minute period from Monday, 04 July 2022 at 10:39 UTC to Friday, 08 July 2022 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 : digitalhealth
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:
[1133] #digital,#digitalhealth [944] #cx,#women [943] #datascientist,#mwc22 [942] #digitalhealth,#cx [925] #healthtech,#datascientist [923] #women,#ehealth [897] #mwc22,#digital [891] #ehealth,#finserv [861] #finserv,#bigdata [598] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[609] #digital,#digitalhealth [564] #cx,#women [563] #datascientist,#mwc22 [563] #digitalhealth,#cx [561] #women,#ehealth [554] #healthtech,#datascientist [550] #ehealth,#finserv [549] #finserv,#bigdata [546] #mwc22,#digital [282] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[354] #dataanalytics,#python [348] #digital,#digitalhealth [347] #ai,#saas [343] #datasecurity,#datascientist [343] #5g,#dataanalytics [342] #datascientist,#5g [341] #blockchain,#ai [340] #python,#rstats [339] #algorithms,#datascience [324] #datascientist,#mwc22 Top Word Pairs in Tweet in G3:
[206] #digitalhealth,#socialmedia [159] #digital,#digitalhealth [125] #socialmedia,#digitalmarketing [111] digital,health [79] #socialmedia,#digital [73] #digitalhealth,#health [63] #digitalhealth,#digital [46] #datascientist,#mwc22 [46] #digitalhealth,#cx [46] #cx,#women Top Word Pairs in Tweet in G4:
[56] #healthcare,#digitalhealth [46] #healthcareit,#ehealth [46] #ehealth,#healthcare [45] #health,#healthcareit [40] digital,health [36] #healthcareit,#digitalhealth [30] #healthcare,#healthcareit [29] #telehealth,#telemedicine [29] #ehealth,#digitalhealth [28] #digitalhealth,#ehealth Top Word Pairs in Tweet in G5:
[36] patient,record [28] electronic,patient [26] full,story [22] innovative,electronic [19] record,system [16] eastcheshirenhs,midcheshirenhs [16] system,create [16] create,huge [16] huge,benefits [16] benefits,staff Top Word Pairs in Tweet in G6:
[12] delighted,channel3consult [12] channel3consult,gathering [12] gathering,event [12] event,#canadian [12] #canadian,#alberta [12] #alberta,delegation [12] delegation,#london [12] #london,sharing [11] lizashallpayne,delighted [11] sharing,insigh Top Word Pairs in Tweet in G7:
[12] digital,health [4] announced,nhs [4] nhs,celebrates [4] celebrates,74 [4] 74,years [4] learn,more [3] chemotherapy,drone [3] drone,trial [3] trial,announced [3] #healthcare,#mentalhealth Top Word Pairs in Tweet in G8:
[18] digital,health [16] health,innovation [15] join,wed [15] wed,july [15] july,20th [15] 20th,seminar [15] seminar,equitable [15] equitable,inclusive [15] inclusive,digital [15] innovation,meganranney Top Word Pairs in Tweet in G9:
[2] jadetaylor8,ianlex2 [2] ianlex2,nolliag66 [2] nolliag66,wirral_in_it [2] wirral_in_it,russelldunkeld [2] russelldunkeld,drbobgill [2] drbobgill,sardariclare [2] sardariclare,b37boy [2] b37boy,lady_yassaie Top Word Pairs in Tweet in G10:
[23] patient,centered [23] centered,clinical [23] clinical,decision [23] decision,support [21] pc,cds [18] support,pc [13] #digitalhealth,research [12] digital,health [11] #ahrq,funded [11] funded,#digitalhealth 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 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: