The graph represents a network of 1,498 Twitter users whose recent tweets contained "#CES2023", 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, 24 November 2022 at 11:33 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 42-minute period from Wednesday, 16 November 2022 at 01:17 UTC to Thursday, 24 November 2022 at 10:00 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 : 1498
Unique Edges : 5392
Edges With Duplicates : 5833
Total Edges : 11225
Number of Edge Types : 5
Retweet : 2157
MentionsInRetweet : 7527
Mentions : 1201
Tweet : 315
Replies to : 25
Self-Loops : 371
Reciprocated Vertex Pair Ratio : 0.0490078171978352
Reciprocated Edge Ratio : 0.0934365147606764
Connected Components : 141
Single-Vertex Connected Components : 92
Maximum Vertices in a Connected Component : 1241
Maximum Edges in a Connected Component : 10899
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.481525
Graph Density : 0.00311169736000706
Modularity : 0.354128
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 1,498 Twitter users whose recent tweets contained "#CES2023", 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, 24 November 2022 at 11:33 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 42-minute period from Wednesday, 16 November 2022 at 01:17 UTC to Thursday, 24 November 2022 at 10:00 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 : #CES2023
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:
[408] #tech,#ces2023 [402] #innovation,#tech [328] #bigdata,#analytics [305] innovation,awards [300] #ces2023,#ai [292] #100daysofcode,#nodejs [290] #itinfluencer,#intelpartner [274] ces,2023 [221] #analytics,#innovation [221] #innovation,#ai Top Word Pairs in Tweet in G1:
[386] #tech,#ces2023 [385] #innovation,#tech [281] #bigdata,#analytics [247] #100daysofcode,#nodejs [219] #ces2023,#ai [207] #analytics,#innovation [205] #innovation,#ai [204] #iot,#100daysofcode [200] #metaverse,#web3 [195] #ai,#crypto Top Word Pairs in Tweet in G2:
[184] innovation,awards [153] awards,honoree [144] #ces2023,innovation [128] named,#ces2023 [119] proud,share [119] ctatech,ces [119] honoree,#nanoweb [119] film,ctatech [119] ces,#gobeyond [119] #nanoweb,transparent Top Word Pairs in Tweet in G3:
[207] #itinfluencer,#intelpartner [146] #ces2023,#itinfluencer [102] #sdgs,#ces2023 [97] #intelpartner,inteliot [90] #iot,#ai [77] read,linkedin [75] insightdottech,#iot [75] #ces2023,#ai [73] pawlowskimario,mvollmer1 [73] #ai,#machinelearning Top Word Pairs in Tweet in G4:
[36] ces,2023 [13] innovation,awards [13] 2023,innovation [9] suprim,liquid [9] liquid,24g [9] rtx,4090 [9] 4090,suprim [9] geforce,rtx [8] january,2023 [8] 2023,#ces2023 Top Word Pairs in Tweet in G5:
[26] pt,sharing [26] nvidia,special [26] sharing,latest [26] jan,pt [26] possible,accelerated [26] address,#ces2023 [26] #ces2023,tuesday [26] made,possible [26] tuesday,jan [26] innovations,made Top Word Pairs in Tweet in G6:
[17] kick,#ces2023 [15] 24,entreprises [15] #ces2023,vegas [12] région,nvelleaquitaine [12] représenteront,région [12] chance,pépites [12] nvelleaquitaine,plus [12] pépites,ces [12] présentation,24 [12] fière,cette Top Word Pairs in Tweet in G7:
[31] hand,tracking [31] ultraleap,hand [20] features,#ces2023 [20] stanlarroque,team [20] ces,2023 [20] 2023,innovation [20] lynx_xr,powered [20] team,full [20] named,ces [20] full,details Top Word Pairs in Tweet in G8:
[22] partenaires,catégorie [22] #ces,#lasvegas [22] #lasvegas,partenaires [22] accompagnés,par [22] 21,lauréats [22] découvrez,21 [22] #ces2023,coming [22] coming,découvrez [22] lauréats,accompagnés [20] janvier,#ces Top Word Pairs in Tweet in G9:
[29] ces,2023 [29] innovation,awards [24] 2023,innovation [19] rtx,4090 [19] suprim,liquid [19] 4090,suprim [16] #ces2023,#msixces2023 [13] #ces2023,#msigraphicscard [13] 24g,won [13] geforce,rtx Top Word Pairs in Tweet in G10:
[2] #hdpalooza2023,#oneteam [2] mobihealthtimes,shereesemaymba [2] pjmachado,hustling [2] together,see [2] #sxsw2023,#hdpalooza2023 [2] erinbrodwin,techguy [2] gracecordovano,zajctjasa [2] coming,together [2] #ces2023,#sxsw2023 [2] boltyboy,hiteawithgrace 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 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 G7:
Top Mentioned in G8:
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: