The graph represents a network of 3,049 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, 13 December 2021 at 01:26 UTC.
The requested start date was Sunday, 12 December 2021 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, 21-hour, 47-minute period from Wednesday, 08 December 2021 at 03:11 UTC to Sunday, 12 December 2021 at 00:59 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 : 3049
Unique Edges : 2786
Edges With Duplicates : 12147
Total Edges : 14933
Number of Edge Types : 5
Retweet : 4804
MentionsInRetweet : 5315
Mentions : 3221
Tweet : 1510
Replies to : 83
Self-Loops : 1914
Reciprocated Vertex Pair Ratio : 0.0265311182742375
Reciprocated Edge Ratio : 0.0516908212560386
Connected Components : 654
Single-Vertex Connected Components : 426
Maximum Vertices in a Connected Component : 1861
Maximum Edges in a Connected Component : 13141
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.780752
Graph Density : 0.000445479736482595
Modularity : 0.256032
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,049 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, 13 December 2021 at 01:26 UTC.
The requested start date was Sunday, 12 December 2021 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, 21-hour, 47-minute period from Wednesday, 08 December 2021 at 03:11 UTC to Sunday, 12 December 2021 at 00:59 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:
[2449] #frenchtech,#women [2421] #women,#fashiontech [2421] #fashiontech,#ehealth [2346] #digital,#cx [2320] #datascientist,#digital [2299] #cx,#iot [2297] #iot,#frenchtech [2124] #ehealth,#insurtech [1637] chidambara09,#datascientist [1231] #insurtech,#datascien Top Word Pairs in Tweet in G1:
[70] customer,experience [41] #customerexperience,#cx [36] #cx,#customerexperience [30] ãƒ,ム[25] scott,mckain [25] playing,distinction [25] distinction,radio [25] radio,join [25] join,cutting [25] cutting,edge Top Word Pairs in Tweet in G2:
[2314] #frenchtech,#women [2286] #women,#fashiontech [2285] #fashiontech,#ehealth [2196] #digital,#cx [2185] #datascientist,#digital [2165] #cx,#iot [2164] #iot,#frenchtech [1992] #ehealth,#insurtech [1506] chidambara09,#datascientist [1140] #insurtech,#datascien Top Word Pairs in Tweet in G3:
[72] customer,experience [57] #cx,#customerexperience [49] #cx,#custserv [31] #customerexperience,#cx [26] #hxd,#designthinking [24] #digital,#cx [23] customer,service [22] #datascientist,#digital [22] #fashiontech,#ehealth [21] #cx,#iot Top Word Pairs in Tweet in G4:
[37] customer,experience [13] #customerexperience,#cx [12] #cx,#customerexperience [12] #cx,#technology [12] trends,2022 [10] #cx,trends [9] bernardmarr,forbes [8] biggest,customer [8] experience,#cx [8] 2022,bernardmarr Top Word Pairs in Tweet in G5:
[96] #frenchtech,#women [96] #women,#fashiontech [96] #fashiontech,#ehealth [95] chidambara09,#datascientist [95] #datascientist,#digital [95] #digital,#cx [95] #cx,#iot [95] #iot,#frenchtech [95] #ehealth,#insurtech [69] #insurtech,#datascien Top Word Pairs in Tweet in G6:
[55] oracle's,#cloud [55] #cloud,made [55] made,order [55] order,recipe [55] success,dash [55] dash,erp [55] erp,pinch [55] pinch,scm [55] scm,smidgen [55] smidgen,#hcm Top Word Pairs in Tweet in G7:
[20] #tech,#fintech [19] #fintech,#finserv [19] #finserv,#ai [19] #ai,#insurtech [19] #insurtech,#machinelearning [19] #machinelearning,#ml [17] #ml,#insurance [17] #insurance,#cx [16] #cx,#robotics [16] #robotics,#chatbot Top Word Pairs in Tweet in G8:
[16] marketing,contenu [16] contenu,comment [16] comment,capter [16] attention,clients [16] clients,potentiels [16] potentiels,scoopit_fr [16] médias,sociaux [14] anthonyrochand,✠[14] âœ,marketing [14] capter,lâ Top Word Pairs in Tweet in G9:
[46] gt,gt [43] artificial,intelligence [41] more,gt [27] enlighten,ai [25] ai,complaint [25] complaint,management [25] management,delivers [25] delivers,better [25] better,business [25] business,outcomes Top Word Pairs in Tweet in G10:
[7] #cx,#custserv [7] #custserv,#custexp [4] customer,service [4] #cx,#customer [4] #cx,#customerexperience [4] 52,sales [4] sales,leaders [4] leaders,#crm [4] #crm,costing [4] costing,revenue 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 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: