The graph represents a network of 181 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, 10 July 2022 at 03:11 UTC.
The requested start date was Sunday, 10 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 12-day, 4-hour, 48-minute period from Sunday, 26 June 2022 at 01:12 UTC to Friday, 08 July 2022 at 06:01 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 : 181
Unique Edges : 152
Edges With Duplicates : 474
Total Edges : 626
Number of Edge Types : 5
MentionsInRetweet : 174
Mentions : 146
Retweet : 110
Tweet : 195
Replies to : 1
Self-Loops : 198
Reciprocated Vertex Pair Ratio : 0.0663716814159292
Reciprocated Edge Ratio : 0.12448132780083
Connected Components : 29
Single-Vertex Connected Components : 13
Maximum Vertices in a Connected Component : 98
Maximum Edges in a Connected Component : 384
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.793608
Graph Density : 0.00739717618170657
Modularity : 0.348817
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 181 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, 10 July 2022 at 03:11 UTC.
The requested start date was Sunday, 10 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 12-day, 4-hour, 48-minute period from Sunday, 26 June 2022 at 01:12 UTC to Friday, 08 July 2022 at 06:01 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:
[93] #custexp,#cx [75] customer,experience [52] #customerexperience,#custexp [51] #cx,#custserv [51] #custserv,#custexp [38] #cx,#custexp [26] #cxmanagement,#customerexperience [24] #custexp,#stevepappas [21] #sales,#marketing [13] customer,service Top Word Pairs in Tweet in G1:
[65] #custexp,#cx [48] #customerexperience,#custexp [46] customer,experience [32] #cx,#custserv [31] #custserv,#custexp [26] #cxmanagement,#customerexperience [11] gt,gt [10] customer,experiences [9] amazon,heading [9] heading,customer Top Word Pairs in Tweet in G2:
[2] #cx,research [2] research,asapp [2] asapp,egain [2] egain,telus [2] telus,qualtrics [2] qualtrics,forrester [2] forrester,focal [2] focal,areas [2] areas,include [2] include,return Top Word Pairs in Tweet in G3:
[6] company,customer [6] customer,attuned [6] attuned,great [6] great,roundup [6] roundup,blogs [6] blogs,news [6] jodie_wells1,ibmuki [5] markhollyoake,alanthom90 [4] use,#tech [4] lovely,catch Top Word Pairs in Tweet in G4:
[7] finacle,assure [7] assure,spend [7] spend,less [7] less,time [7] time,worrying [7] worrying,maintenance [7] maintenance,gain [7] gain,more [7] more,time [7] time,#innovate Top Word Pairs in Tweet in G5:
[18] customer,experience [5] customer,service [5] #customerservice,#custexp [4] dave,buster's [4] #custexp,#onlinejourney [4] mopinion,#custexp [3] link,bio [3] winner's,circle [3] circle,customer [2] #custexp,#cx Top Word Pairs in Tweet in G7:
[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 G8:
[3] forsta,plus [2] product,announcement [2] announcement,forsta [2] forsta,launches [2] launches,digital [2] digital,diaries [2] diaries,mobile [2] mobile,ethnography [2] ethnography,app [2] app,designed Top Word Pairs in Tweet in G9:
[6] #custexp,#cx [5] experience,service [5] expect,best [5] best,value [5] value,experience [4] customers,pay [4] pay,experience [4] service,product [4] product,expect [4] experience,90 Top Word Pairs in Tweet in G10:
[7] #custexp,#cx [5] #sales,#marketing [5] #b2b,#b2c [4] #b2c,#b2g [4] #cx,#custexp [4] #technologytrends,#stem [3] people,buy [3] buy,#tech [3] #tech,findings [3] findings,buy Top Replied-To in Entire Graph:
Top Replied-To in G3:
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: