The graph represents a network of 3,809 Twitter users whose tweets in the requested range contained "#cx", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 24 January 2022 at 01:16 UTC.
The requested start date was Sunday, 23 January 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 15-hour, 17-minute period from Tuesday, 18 January 2022 at 02:22 UTC to Friday, 21 January 2022 at 17:40 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 : 3809
Unique Edges : 4475
Edges With Duplicates : 11636
Total Edges : 16111
Number of Edge Types : 5
Tweet : 1889
MentionsInRetweet : 6298
Mentions : 3694
Retweet : 4121
Replies to : 109
Self-Loops : 2257
Reciprocated Vertex Pair Ratio : 0.0446972124319128
Reciprocated Edge Ratio : 0.0855696978990952
Connected Components : 866
Single-Vertex Connected Components : 560
Maximum Vertices in a Connected Component : 2280
Maximum Edges in a Connected Component : 13798
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.784001
Graph Density : 0.000449579280386347
Modularity : 0.342474
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,809 Twitter users whose tweets in the requested range contained "#cx", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 24 January 2022 at 01:16 UTC.
The requested start date was Sunday, 23 January 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 15-hour, 17-minute period from Tuesday, 18 January 2022 at 02:22 UTC to Friday, 21 January 2022 at 17:40 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 : GraphServerTwitterSearch
Graph Term : #cx
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:
[1126] #women,#ehealth [1121] #cx,#women [1092] #finserv,#fashiontech [1018] #fashiontech,#insurtech [1001] #digital,#cx [971] #datascientist,#digital [955] #ces2023,#finserv [870] #ehealth,#data [867] #data,#ces2023 [571] chidambara09,#datascientist Top Word Pairs in Tweet in G1:
[154] customer,experience [55] better,customer [52] boost,#cx [51] #cx,#customerexperience [51] #cx,today's [50] 86,online [50] online,customers [50] customers,pay [50] pay,more [50] more,better Top Word Pairs in Tweet in G2:
[133] #cx,#custserv [95] customer,experience [82] customer,service [72] #ex,#rox [55] #customerexperience,#cx [51] #custserv,#ex [35] #defi,#daos [32] #daos,#nfts [32] #retail,#cx [29] #cx,#nrf2022 Top Word Pairs in Tweet in G3:
[928] #women,#ehealth [927] #cx,#women [902] #finserv,#fashiontech [840] #fashiontech,#insurtech [819] #digital,#cx [802] #datascientist,#digital [788] #ces2023,#finserv [724] #ehealth,#data [722] #data,#ces2023 [437] chidambara09,#datascientist Top Word Pairs in Tweet in G4:
[172] #women,#ehealth [168] #cx,#women [165] #finserv,#fashiontech [153] #fashiontech,#insurtech [150] #digital,#cx [149] #datascientist,#digital [145] #ces2023,#finserv [126] #ehealth,#data [126] #data,#ces2023 [120] #insurtech,#big Top Word Pairs in Tweet in G5:
[40] gt,gt [29] self,service [22] #cx,#contactcenter [20] gt,#cx [17] verint,leaders [17] leaders,#forresterwave [17] #forresterwave,#wfo [17] #wfo,evaluation [17] evaluation,#workforceengagement [16] #cx,#automation Top Word Pairs in Tweet in G6:
[28] customer,service [20] #ai,technologies [20] technologies,potential [20] potential,add [20] add,trillion [20] trillion,additional [20] additional,value [20] value,each [20] each,year [20] year,banks Top Word Pairs in Tweet in G7:
[12] #cxnews,#cx [12] #customerexperience,#cx [11] care,company [11] company,#netpromoterscore [11] #netpromoterscore,summary [11] summary,#nps [11] #nps,three [11] three,reasons [10] #cx,#contactcentre [10] inside,power Top Word Pairs in Tweet in G8:
[50] translate,english [50] english,#ex [50] #ex,#cx [33] check,gig [33] gig,fiverr [33] fiverr,translate [32] #cx,#digitaltransformation [28] scott,mckain [28] playing,distinction [28] distinction,radio Top Word Pairs in Tweet in G9:
[13] #innovation,#fintech [13] #ux,#cx [10] #fintech,#banking [8] #wallets,#ux [7] #banking,#fintech [6] #cx,#customerexperience [6] customer,experience [6] #banking,#digitalbanking [6] #fintech,#banques [5] #payments,#loans Top Word Pairs in Tweet in G10:
[28] #cpaas,#cx [25] #ex,#cx [23] learn,more [21] #ucaas,#ccaas [19] #ccaas,#xcaas [17] #xcaas,#ex [15] know,investing [15] investing,#agile [15] #agile,workplace [15] workplace,advancements Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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 G5:
Top Mentioned in G6:
Top Mentioned in G7:
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: