The graph represents a network of 2,238 Twitter users whose recent tweets contained "#digitalhealthCES", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 09 January 2020 at 20:15 UTC.
The tweets in the network were tweeted over the 7-day, 20-hour, 8-minute period from Wednesday, 01 January 2020 at 23:48 UTC to Thursday, 09 January 2020 at 19:56 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 : 2238
Unique Edges : 4920
Edges With Duplicates : 4164
Total Edges : 9084
Number of Edge Types : 5
Retweet : 1968
MentionsInRetweet : 5313
Mentions : 1362
Tweet : 323
Replies to : 118
Self-Loops : 353
Reciprocated Vertex Pair Ratio : 0.0237630785600284
Reciprocated Edge Ratio : 0.0464230036376234
Connected Components : 26
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 2198
Maximum Edges in a Connected Component : 9045
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.871681
Graph Density : 0.00115312261930015
Modularity : 0.376053
NodeXL Version : 1.0.1.422
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=219914
Data Import : The graph represents a network of 2,238 Twitter users whose recent tweets contained "#digitalhealthCES", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 09 January 2020 at 20:15 UTC.
The tweets in the network were tweeted over the 7-day, 20-hour, 8-minute period from Wednesday, 01 January 2020 at 23:48 UTC to Thursday, 09 January 2020 at 19:56 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 : TwitterSearch
Graph Term : #digitalhealthCES
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1429] #ces2020,#digitalhealthces [1313] #digitalhealthces,#ces2020 [674] paralyzed,patients [669] take,photos [555] irmaraste,evirahealth [521] imagine,computer [521] computer,inside [521] inside,contact [521] contact,lens [521] lens,allows Top Word Pairs in Tweet in G1:
[677] #digitalhealthces,#ces2020 [459] take,photos [452] imagine,computer [452] computer,inside [452] inside,contact [452] contact,lens [452] lens,allows [452] allows,record [452] record,videos [452] videos,surf Top Word Pairs in Tweet in G2:
[452] #ces2020,#digitalhealthces [248] #digitalhealthces,#ces2020 [117] venetian,level [117] lando,4305 [115] level,lando [89] #ces2020,today [83] digital,health [51] pm,venetian [41] health,data [38] paralyzed,patients Top Word Pairs in Tweet in G3:
[413] #ces2020,#digitalhealthces [215] irmaraste,evirahealth [197] #healthtech,#digitalhealth [190] #digitalhealthces,#ces2020 [168] evankirstel,evirahealth [132] #digitalhealth,#healthcare [121] #health,#wellness [117] #ces2020,#ai [108] #digitalhealthces,#dhs2020 [102] paralyzed,patients Top Word Pairs in Tweet in G4:
[241] irmaraste,evirahealth [181] #ces2020,#digitalhealthces [158] #healthtech,#digitalhealth [142] #digitalhealth,#healthcare [116] #digitalhealthces,#ces2020 [94] biggest,potential [94] potential,benefits [94] benefits,help [94] help,people [94] people,stay Top Word Pairs in Tweet in G5:
[143] #ces2020,#digitalhealthces [107] take,photos [99] #stem,#science [97] #edtech,device [97] device,allows [97] allows,take [97] photos,everything [97] everything,under [97] under,microscope [97] microscope,ilabcam Top Word Pairs in Tweet in G6:
[26] #lenovoces,#ces [26] #ces,#ad [23] lenovo,#lenovoces [22] standard,workspace [22] workspace,#dataprivacy [22] #dataprivacy,#ces2020 [22] #ces2020,screen [22] screen,automatically [22] automatically,blurs [22] blurs,look Top Word Pairs in Tweet in G7:
[23] #ces2020,#digitalhealthces [8] digital,therapeutics [7] digital,health [7] health,ecosystem [7] ecosystem,ecosystems [7] ecosystems,koenigsteve [7] koenigsteve,ces [7] ces,talking [7] talking,abt [7] abt,#ces2020 Top Word Pairs in Tweet in G8:
[19] #digitalhealthces,#dhs2020 [17] booth,#44506 [13] #atthealthcare,booth [13] #dhs2020,#atthealthcare [12] digital,health [12] health,summit [11] bringing,5g [11] 5g,healthcare [11] healthcare,life [9] #healthcare,industry Top Word Pairs in Tweet in G9:
[16] #ces2020,#digitalhealthces [13] audiocardio,sound [13] sound,therapy [13] therapy,exhibiting [13] exhibiting,#ces2020 [13] #digitalhealthces,#healthtech [12] know,audiocardio [12] #healthtech,jblefevre60 [12] jblefevre60,sebbourguignon [12] sebbourguignon,tewoz Top Word Pairs in Tweet in G10:
[8] #digitalhealthces,#ces2020 [6] health,really [6] really,big [6] big,deal [6] deal,#ces2020 [6] #ces2020,exemplified [6] exemplified,garyshapiro [6] garyshapiro,choosing [6] choosing,healthythinker [6] healthythinker,book Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: