The graph represents a network of 2,398 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 Thursday, 09 January 2020 at 17:01 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 2-minute period from Wednesday, 01 January 2020 at 16:48 UTC to Thursday, 09 January 2020 at 16:50 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 : 2398
Unique Edges : 3954
Edges With Duplicates : 1026
Total Edges : 4980
Number of Edge Types : 5
Mentions : 990
Tweet : 794
MentionsInRetweet : 2163
Retweet : 894
Replies to : 139
Self-Loops : 811
Reciprocated Vertex Pair Ratio : 0.0201470187857337
Reciprocated Edge Ratio : 0.0394982652788898
Connected Components : 550
Single-Vertex Connected Components : 403
Maximum Vertices in a Connected Component : 1307
Maximum Edges in a Connected Component : 3713
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.216009
Graph Density : 0.000651878233947564
Modularity : 0.647865
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 2,398 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 Thursday, 09 January 2020 at 17:01 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 2-minute period from Wednesday, 01 January 2020 at 16:48 UTC to Thursday, 09 January 2020 at 16:50 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:
[789] ces,2020 [753] digital,health [274] health,wellness [265] devices,debut [233] #ai,powered [230] powered,digital [226] health,tech [214] health,devices [195] debut,ces [165] see,#ces2020 Top Word Pairs in Tweet in G1:
[239] ces,2020 [97] digital,health [68] health,tech [38] health,wellness [34] health,care [31] health,fitness [27] 2020,digital [24] best,health [24] litter,box [22] kitty,litter Top Word Pairs in Tweet in G2:
[62] digital,health [54] ces,2020 [42] devices,software [33] health,wellness [31] health,tech [27] headlines,#ces2020 [24] consumer,electronics [24] electronics,show [22] #ces2020,mobihealthnews [21] tech,headlines Top Word Pairs in Tweet in G3:
[220] digital,health [218] ces,2020 [207] devices,debut [191] #ai,powered [170] powered,digital [166] health,devices [163] debut,ces [144] #healthtech,#digitalhealth [142] #ces2020,#ai [142] see,#ces2020 Top Word Pairs in Tweet in G4:
[63] health,wellness [49] ambient,computing [49] wellness,privacy [49] privacy,security [32] digital,health [31] security,streaming [29] computing,health [28] #ces2020,services [22] things,dominate [20] dominate,#ces2020 Top Word Pairs in Tweet in G5:
[26] digital,health [14] ces,2020 [11] health,care [10] #health,#ai [9] health,tech [9] health,ecosystem [9] ecosystem,ecosystems [9] ecosystems,koenigsteve [9] koenigsteve,ces [9] ces,talking Top Word Pairs in Tweet in G6:
[77] uk,hôpitaux [77] hôpitaux,sont [77] sont,passés [77] passés,salles [77] salles,mixtes [77] mixtes,patients [77] patients,admis [77] admis,psychiatrie [77] psychiatrie,résultat [77] résultat,plus Top Word Pairs in Tweet in G7:
[51] ces,2020 [49] digital,health [48] philips,expands [48] expands,range [48] range,consumer [48] consumer,focused [48] focused,digital [48] health,solutions [48] solutions,ces [27] health,wellness Top Word Pairs in Tweet in G8:
[40] digital,health [29] amy3ro,reviewed [29] reviewed,danawollman [29] danawollman,engadget [29] sponsored,deloittetmt [28] health,market [27] health,one [27] one,fastest [27] fastest,growing [27] growing,tech Top Word Pairs in Tweet in G9:
[66] digital,health [27] #digitalhealth,digital [27] health,trends [27] trends,#ces2020 [27] #ces2020,predictions [27] predictions,digital [27] health,#ces [27] #ces,digimind_fr [27] digimind_fr,#healthcare [27] #healthcare,#ai Top Word Pairs in Tweet in G10:
[32] #ces2020,virtually [32] virtually,#tech [32] #tech,product [32] product,category [32] category,represented [32] represented,imagine [32] imagine,concentration [32] concentration,#5g [32] #5g,#internetofthings [32] #internetofthings,#iot Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G9:
Top Tweeters in G10: