The graph represents a network of 3,239 Twitter users whose recent tweets contained "CES Health", 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 Sunday, 12 January 2020 at 18:17 UTC.
The tweets in the network were tweeted over the 7-day, 23-hour, 19-minute period from Saturday, 04 January 2020 at 18:41 UTC to Sunday, 12 January 2020 at 18:00 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 : 3239
Unique Edges : 5207
Edges With Duplicates : 1422
Total Edges : 6629
Number of Edge Types : 5
Retweet : 1176
Mentions : 1363
MentionsInRetweet : 2797
Tweet : 1169
Replies to : 124
Self-Loops : 1188
Reciprocated Vertex Pair Ratio : 0.0130542892664733
Reciprocated Edge Ratio : 0.0257721415422377
Connected Components : 765
Single-Vertex Connected Components : 590
Maximum Vertices in a Connected Component : 1929
Maximum Edges in a Connected Component : 5081
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.521562
Graph Density : 0.000466157037235926
Modularity : 0.653558
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 3,239 Twitter users whose recent tweets contained "CES Health", 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 Sunday, 12 January 2020 at 18:17 UTC.
The tweets in the network were tweeted over the 7-day, 23-hour, 19-minute period from Saturday, 04 January 2020 at 18:41 UTC to Sunday, 12 January 2020 at 18:00 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 : TwitterSearch
Graph Term : CES Health
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:
[1094] ces,2020 [862] digital,health [331] health,tech [327] health,wellness [260] health,devices [186] sexual,health [122] health,care [119] devices,debut [119] health,fitness [118] powered,digital Top Word Pairs in Tweet in G1:
[363] ces,2020 [150] digital,health [108] health,tech [68] health,wellness [43] health,fitness [38] health,care [38] 2020,digital [38] health,gadgets [33] best,health [33] health,devices Top Word Pairs in Tweet in G2:
[231] digital,health [201] ces,2020 [73] see,#ces2020 [72] #ai,powered [72] #health,#healthtech [72] #healthtech,#digitalhealth [71] powered,digital [71] health,devices [71] devices,debut [71] debut,ces Top Word Pairs in Tweet in G3:
[43] #ces2020,hot [43] hot,eureka [43] eureka,park [33] ces,2020 [32] digital,health [31] #ces2020,#ces [31] #healthcare,#ces2020 [30] park,experts [30] experts,nincoroby [30] nincoroby,guillaume_rio Top Word Pairs in Tweet in G4:
[50] impossible,pork [50] health,sensors [38] health,wellness [36] city,future [33] pork,toyota's [33] toyota's,city [33] future,health [33] sensors,computers [33] computers,fold [31] fold,phones Top Word Pairs in Tweet in G5:
[113] ces,2020 [99] ai,humans [99] humans,companion [99] companion,robots [99] robots,wearable [99] wearable,intestine [99] intestine,tracker [99] tracker,sexual [99] sexual,health [99] health,devices Top Word Pairs in Tweet in G6:
[62] digital,health [56] amy3ro,reviewed [56] reviewed,danawollman [56] danawollman,engadget [52] sponsored,deloittetmt [52] roundtable,amy3ro [51] hosted,roundtable [49] health,market [49] deloittehealth,discuss [48] market,#ces2020 Top Word Pairs in Tweet in G7:
[78] uk,hôpitaux [78] hôpitaux,sont [78] sont,passés [78] passés,salles [78] salles,mixtes [78] mixtes,patients [78] patients,admis [78] admis,psychiatrie [78] psychiatrie,résultat [78] résultat,plus Top Word Pairs in Tweet in G8:
[15] digital,health [15] ces,2020 [13] next,billion [13] billion,dollar [13] #ai,powered [10] sana_health,rubitection [9] health,devices [9] massively,changing [9] changing,approaches [9] approaches,product Top Word Pairs in Tweet in G9:
[40] digital,health [22] ces,2020 [15] health,tech [11] wows,whys [11] health,wellness [10] health,fitness [10] highest,year [10] year,investment [9] whys,health [9] tech,innovation Top Word Pairs in Tweet in G10:
[47] health,wellness [39] sexual,health [33] sex,tech [33] tech,companies [33] companies,having [33] having,more [33] more,fun [33] fun,rest [33] rest,ces [33] ces,dispatch Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
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: