The graph represents a network of 3,406 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, 29 May 2022 at 00:20 UTC.
The requested start date was Sunday, 29 May 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 4-day, 8-hour, 16-minute period from Tuesday, 24 May 2022 at 09:21 UTC to Saturday, 28 May 2022 at 17:37 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 : 3406
Unique Edges : 3178
Edges With Duplicates : 10724
Total Edges : 13902
Number of Edge Types : 5
Tweet : 1837
Retweet : 4036
MentionsInRetweet : 4566
Mentions : 3403
Replies to : 60
Self-Loops : 2579
Reciprocated Vertex Pair Ratio : 0.0405040504050405
Reciprocated Edge Ratio : 0.0778546712802768
Connected Components : 751
Single-Vertex Connected Components : 459
Maximum Vertices in a Connected Component : 1991
Maximum Edges in a Connected Component : 11555
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.361318
Graph Density : 0.000398709024326941
Modularity : 0.315644
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,406 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, 29 May 2022 at 00:20 UTC.
The requested start date was Sunday, 29 May 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 4-day, 8-hour, 16-minute period from Tuesday, 24 May 2022 at 09:21 UTC to Saturday, 28 May 2022 at 17:37 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:
[1932] #digitalhealth,#datascientist [1917] #datascientist,#mwc22 [1910] #cx,#women [1900] #mwc22,#ai [1893] #ai,#healthtech [1891] #women,#ehealth [1873] #ehealth,#ces2023 [1742] #iiot,#cx [1740] #healthtech,#ml [1732] #ml,#iiot Top Word Pairs in Tweet in G1:
[1607] #digitalhealth,#datascientist [1593] #datascientist,#mwc22 [1588] #cx,#women [1579] #mwc22,#ai [1576] #women,#ehealth [1573] #ai,#healthtech [1562] #ehealth,#ces2023 [1454] #iiot,#cx [1451] #healthtech,#ml [1446] #ml,#iiot Top Word Pairs in Tweet in G2:
[70] customer,experience [49] #cx,#customerexperience [35] ideas,#cx [35] cutting,edge [35] personal,professional [34] #customerexperience,#cx [34] customer,service [34] scott,mckain [34] playing,distinction [34] distinction,radio Top Word Pairs in Tweet in G3:
[49] customer,experience [42] #customerexperience,#cx [35] #custexp,#stevepappas [33] #stevepappas,#cxconnoisseur [31] #cx,#custexp [29] customer,service [25] #customerservice,#customerexperience [22] #cx,#customerexperience [16] subscribe,#scienceofcx [16] #scienceofcx,today Top Word Pairs in Tweet in G4:
[128] gt,gt [66] #digitalhealth,#datascientist [65] #datascientist,#mwc22 [64] #mwc22,#ai [64] #cx,#women [63] #ai,#healthtech [63] #women,#ehealth [62] chidambara09,#digitalhealth [62] #iiot,#cx [62] #ehealth,#ces2023 Top Word Pairs in Tweet in G5:
[26] verint,#engage22 [25] orlando,june [24] join,orlando [22] june,13 [21] customer,experience [21] actionable,insights [21] 13,16 [20] need,stronger [20] stronger,more [20] more,actionable Top Word Pairs in Tweet in G6:
[150] #digitalhealth,#datascientist [150] #datascientist,#mwc22 [150] #mwc22,#ai [150] #ai,#healthtech [150] #cx,#women [150] #women,#ehealth [150] #ehealth,#ces2023 [139] chidambara09,#digitalhealth [139] #healthtech,#ml [138] #ml,#iiot Top Word Pairs in Tweet in G7:
[21] #cx,#dataanalytics [20] #dataanalytics,#behavioranalytics [20] 'continuous,intelligence [20] intelligence,code [20] code,democratizes [20] democratizes,analysis' [19] 14,jun [16] analysis',14 [14] thebloorgroup,eric_kavanagh [14] eric_kavanagh,yvesmulkers Top Word Pairs in Tweet in G8:
[11] customer,experience [9] learn,oracle [7] fusing,employee [7] employee,experience [7] experience,customer [7] experience,essential [7] essential,learn [7] oracle,improves [7] improves,#employeeexperience [7] #employeeexperience,#cx Top Word Pairs in Tweet in G9:
[7] customer,experience [5] two,important [5] important,topics [5] topics,#cx [5] #cx,vendors [5] vendors,need [5] need,solved [5] solved,#latam [5] #latam,jesus_hoyos [5] jesus_hoyos,gives Top Word Pairs in Tweet in G10:
[11] customer,experience [8] #customerexperience,#cx [6] experience,#cx [6] #cx,leaders [5] malcom,mclean [5] mclean,rules [5] rules,make [5] make,ideas [5] ideas,successful [5] successful,make Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: