The graph represents a network of 158 Twitter users whose tweets in the requested range contained "custexp", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 03 July 2022 at 03:11 UTC.
The requested start date was Sunday, 03 July 2022 at 00:01 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 13-day, 4-hour, 18-minute period from Sunday, 19 June 2022 at 00:02 UTC to Saturday, 02 July 2022 at 04:21 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 : 158
Unique Edges : 117
Edges With Duplicates : 396
Total Edges : 513
Number of Edge Types : 5
Retweet : 82
MentionsInRetweet : 114
Mentions : 120
Tweet : 194
Replies to : 3
Self-Loops : 196
Reciprocated Vertex Pair Ratio : 0.0760233918128655
Reciprocated Edge Ratio : 0.141304347826087
Connected Components : 31
Single-Vertex Connected Components : 15
Maximum Vertices in a Connected Component : 51
Maximum Edges in a Connected Component : 247
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.791789
Graph Density : 0.00741756026767717
Modularity : 0.340499
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 158 Twitter users whose tweets in the requested range contained "custexp", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 03 July 2022 at 03:11 UTC.
The requested start date was Sunday, 03 July 2022 at 00:01 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 13-day, 4-hour, 18-minute period from Sunday, 19 June 2022 at 00:02 UTC to Saturday, 02 July 2022 at 04:21 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 : custexp
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:
[81] #custexp,#cx [59] #custserv,#custexp [55] customer,experience [52] #cx,#custserv [52] #customerexperience,#custexp [36] #cxmanagement,#customerexperience [25] #cx,#custexp [18] #custexp,#stevepappas [16] #sales,#marketing [14] education,programme Top Word Pairs in Tweet in G1:
[59] #custexp,#cx [50] #customerexperience,#custexp [36] #cxmanagement,#customerexperience [18] customer,experience [13] education,programme [13] cultural,intelligence [11] cx,education [10] customer,experiences [10] customer,centricity [9] cx,leader Top Word Pairs in Tweet in G2:
[24] customer,experience [9] #cx,#custserv [7] #custserv,#custexp [6] experience,#custexp [5] #custserv,#ex [4] journey,orchestration [4] orchestration,2022 [4] 2022,#cjo [4] #cjo,#cx [4] #ex,#employeeexperience Top Word Pairs in Tweet in G3:
[7] customer,service [7] #customerservice,#custexp [6] captain,customer [4] dave,buster's [3] #custexp,#custserv [3] #cx,#custexp [3] jobs,titles [3] titles,captain [3] service,#customerservice [2] search,holy Top Word Pairs in Tweet in G4:
[6] company,customer [6] customer,attuned [6] attuned,great [6] great,roundup [6] roundup,blogs [6] blogs,news [5] markhollyoake,alanthom90 [4] news,peterlavers [4] peterlavers,markhollyoake [4] use,#tech Top Word Pairs in Tweet in G5:
[2] start,thinking [2] thinking,scientist [2] scientist,forsta's [2] forsta's,cx [2] cx,expert [2] expert,howard [2] howard,lax [2] lax,explains [2] explains,science [2] science,#cx Top Word Pairs in Tweet in G7:
[31] #custserv,#custexp [23] #cx,#custserv [8] genesys,#cx [7] #custexp,#cx [5] experience,service [5] expect,best [5] best,value [5] value,experience [4] customer,experience [4] customers,pay Top Word Pairs in Tweet in G8:
[15] #sales,#marketing [7] #vlog,content [7] content,#sales [7] #marketing,#socialmedia [7] #socialmedia,subscribe [7] subscribe,#youtube [7] #youtube,channel [7] #custexp,#cx [6] dangalante,#vlog [6] channel,#digital Top Word Pairs in Tweet in G9:
[7] well,know [7] know,customers [7] customers,missing [7] missing,vital [7] vital,data [7] data,learn [7] learn,importance [7] importance,owning [6] msftdynamics365,well [6] owning,custom Top Word Pairs in Tweet in G10:
[3] well,done [3] done,petsathome [3] petsathome,#proudofmystore [3] #proudofmystore,win [3] win,couple [3] couple,days [3] days,left [3] left,enter [3] enter,chance [2] rebeccabusiness,well Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 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: