The graph represents a network of 3,364 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 Monday, 13 January 2020 at 19:45 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 39-minute period from Sunday, 05 January 2020 at 17:45 UTC to Monday, 13 January 2020 at 19:25 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 : 3364
Unique Edges : 5388
Edges With Duplicates : 1487
Total Edges : 6875
Number of Edge Types : 5
Tweet : 1241
Retweet : 1176
Mentions : 1383
MentionsInRetweet : 2956
Replies to : 119
Self-Loops : 1261
Reciprocated Vertex Pair Ratio : 0.0126556850140619
Reciprocated Edge Ratio : 0.0249950406665344
Connected Components : 807
Single-Vertex Connected Components : 623
Maximum Vertices in a Connected Component : 1989
Maximum Edges in a Connected Component : 5272
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.459341
Graph Density : 0.000445588365803564
Modularity : 0.654447
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 3,364 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 Monday, 13 January 2020 at 19:45 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 39-minute period from Sunday, 05 January 2020 at 17:45 UTC to Monday, 13 January 2020 at 19:25 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:
[1148] ces,2020 [848] digital,health [351] health,tech [308] health,wellness [272] health,devices [214] sexual,health [132] ai,humans [132] humans,companion [132] companion,robots [132] robots,wearable Top Word Pairs in Tweet in G1:
[370] ces,2020 [163] digital,health [113] health,tech [72] health,wellness [47] health,fitness [38] 2020,digital [38] health,gadgets [37] health,care [36] best,health [32] health,devices Top Word Pairs in Tweet in G2:
[241] digital,health [210] ces,2020 [80] devices,software [59] health,devices [59] headlines,#ces2020 [54] #ai,powered [54] devices,debut [53] powered,digital [52] #healthtech,#digitalhealth [51] debut,ces Top Word Pairs in Tweet in G3:
[75] digital,health [61] ces,2020 [48] health,wellness [19] health,care [17] health,tech [17] consumer,electronics [17] electronics,show [15] innovation,award [14] ces,#ces2020 [13] smart,health Top Word Pairs in Tweet in G4:
[64] #ces2020,hot [64] hot,eureka [64] eureka,park [51] park,experts [51] experts,nincoroby [51] nincoroby,guillaume_rio [51] guillaume_rio,tell [51] tell,walmart [51] walmart,conquer [51] conquer,health Top Word Pairs in Tweet in G5:
[59] impossible,pork [59] health,sensors [36] city,future [34] tech,trends [34] trends,#ces2020 [33] pork,toyota's [33] toyota's,city [33] future,health [33] sensors,computers [33] computers,fold Top Word Pairs in Tweet in G6:
[125] ai,humans [125] humans,companion [125] companion,robots [125] robots,wearable [125] wearable,intestine [125] intestine,tracker [125] tracker,sexual [125] sexual,health [125] health,devices [125] devices,coolest Top Word Pairs in Tweet in G7:
[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 G8:
[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 G9:
[52] #ces,#defstar5 [52] #defstar5,#ces2020 [36] 60,#startups [36] #startups,making [36] making,#intelligent [36] #intelligent,homes [36] homes,#iot [36] #iot,#smarthome [36] #smarthome,#cybersecurity [36] #cybersecurity,#sensors Top Word Pairs in Tweet in G10:
[37] digital,health [19] ces,2020 [15] health,tech [11] health,fitness [11] health,wellness [10] wows,whys [10] highest,year [10] year,investment [9] whys,health [9] tech,innovation Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
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 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: