The graph represents a network of 3,643 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 Sunday, 03 July 2022 at 00:23 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 5-day, 3-hour, 33-minute period from Monday, 27 June 2022 at 14:04 UTC to Saturday, 02 July 2022 at 17:38 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 : 3643
Unique Edges : 3563
Edges With Duplicates : 10783
Total Edges : 14346
Number of Edge Types : 5
MentionsInRetweet : 4873
Mentions : 3576
Retweet : 3915
Tweet : 1903
Replies to : 79
Self-Loops : 2507
Reciprocated Vertex Pair Ratio : 0.0397535281256211
Reciprocated Edge Ratio : 0.0764672146817052
Connected Components : 795
Single-Vertex Connected Components : 484
Maximum Vertices in a Connected Component : 2167
Maximum Edges in a Connected Component : 11749
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.139667
Graph Density : 0.000394262623375711
Modularity : 0.342205
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,643 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 Sunday, 03 July 2022 at 00:23 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 5-day, 3-hour, 33-minute period from Monday, 27 June 2022 at 14:04 UTC to Saturday, 02 July 2022 at 17:38 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:
[1690] #iot,#iiot [1635] #ai,#iot [1340] #cx,#women [1339] #women,#ehealth [1336] #datascientist,#mwc22 [1333] #digitalhealth,#cx [1320] #healthtech,#datascientist [1309] #ehealth,#finserv [1304] #digital,#digitalhealth [1301] #mwc22,#digital Top Word Pairs in Tweet in G1:
[1647] #iot,#iiot [1592] #ai,#iot [1250] #cx,#women [1249] #women,#ehealth [1246] #datascientist,#mwc22 [1243] #digitalhealth,#cx [1230] #healthtech,#datascientist [1222] #ehealth,#finserv [1216] #digital,#digitalhealth [1214] #mwc22,#digital Top Word Pairs in Tweet in G2:
[97] customer,experience [44] #cx,#customerexperience [43] #customerexperience,#cx [26] customer,service [23] gt,gt [23] #joincdw,june [23] june,28th [23] 28th,10am [23] 10am,ct [23] ct,exclusive Top Word Pairs in Tweet in G3:
[90] sebbourguignon,enilev [88] #cx,#ai [77] chidambara09,#healthtech [77] #healthtech,#datascientist [77] #datascientist,#mwc22 [77] #digital,#digitalhealth [77] #digitalhealth,#cx [77] #cx,#women [77] #women,#ehealth [76] #mwc22,#digital Top Word Pairs in Tweet in G4:
[152] #cx,#custserv [123] #custserv,#ex [117] #ex,#rox [72] customer,experience [67] #rox,#experienceeconomy [41] #experienceeconomy,#futureofwork [39] #defi,#daos [38] #daos,#nfts [35] customer,service [34] #futureofwork,#futureback Top Word Pairs in Tweet in G5:
[34] customer,experience [34] #digital,first [28] #digital,experience [27] 78,customers [27] customers,return [27] return,great [27] great,#digital [26] insights,verint [26] experience,read [25] fresh,insights Top Word Pairs in Tweet in G6:
[24] need,help [24] help,ciphering [24] ciphering,latest [24] latest,#marketing [24] #marketing,trends [24] help,discover [24] discover,mega [24] mega,trends [22] trends,oraclemarketing [22] oraclemarketing,help Top Word Pairs in Tweet in G7:
[9] gt,gt [8] budget,tools [8] tools,spend [8] spend,tracking [8] tracking,credit [8] credit,scores [8] scores,customers [8] customers,expect [8] expect,more [8] more,#banking Top Word Pairs in Tweet in G8:
[10] #cx,#crm [7] #customerexperience,#cx [7] salesforce,public [7] public,sector [7] sector,president [7] president,dave [7] dave,rey [7] rey,davesrey [7] davesrey,recently [7] recently,sat Top Word Pairs in Tweet in G9:
[15] customer,experience [10] #customerexperience,#cx [8] read,more [8] #cx,#customerexperience [7] digital,transformation [6] company,customer [6] customer,attuned [6] attuned,great [6] great,roundup [6] roundup,blogs Top Word Pairs in Tweet in G10:
[26] #ex,#cx [24] #ucaas,#ccaas [21] read,more [18] 8x8,#xcaas [16] #xcaas,8x8 [16] 8x8,#voice [16] #voice,#microsoftteams [12] #ccaas,#ex [12] according,bloomberg [12] bloomberg,intelligence Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G10: