The graph represents a network of 3,942 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 November 2019 at 04:47 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 4-hour, 24-minute period from Wednesday, 30 October 2019 at 11:14 UTC to Friday, 01 November 2019 at 15:39 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 : 3942
Unique Edges : 5082
Edges With Duplicates : 2529
Total Edges : 7611
Number of Edge Types : 3
Mentions : 5696
Tweet : 1820
Replies to : 95
Self-Loops : 1820
Reciprocated Vertex Pair Ratio : 0.0416932567538822
Reciprocated Edge Ratio : 0.0800490095977129
Connected Components : 934
Single-Vertex Connected Components : 541
Maximum Vertices in a Connected Component : 1954
Maximum Edges in a Connected Component : 4875
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.633054
Graph Density : 0.000315215125794459
Modularity : 0.609887
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,942 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 November 2019 at 04:47 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 4-hour, 24-minute period from Wednesday, 30 October 2019 at 11:14 UTC to Friday, 01 November 2019 at 15:39 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[817] gt,gt [439] customer,experience [233] #customerexperience,#cx [211] #cx,#customerexperience [125] mikequindazzi,gt [122] customer,service [121] #ux,#cx [119] gt,#ai [103] #custexp,#cx [93] check,out Top Word Pairs in Tweet in G1:
[84] customer,experience [71] #customerexperience,#cx [65] gt,gt [62] nice,incontact [50] #cx,#customerexperience [47] gt,#cx [41] contact,center [33] #customer,#experience [28] center,service [26] #ux,#cx Top Word Pairs in Tweet in G2:
[655] gt,gt [121] mikequindazzi,gt [113] gt,#ai [71] ways,win [71] win,#digitaltransformation [69] gt,#pwc [66] mikequindazzi,9 [66] #pwc,mikequindazzi [60] #cx,gt [60] london,bar Top Word Pairs in Tweet in G3:
[132] customer,experience [85] #custexp,#cx [58] #cx,#customerexperience [40] #customerexperience,#cx [29] #cx,#custserv [26] #cx,#custexp [25] customer,journey [24] journey,mapping [20] check,out [18] #custserv,#custexp Top Word Pairs in Tweet in G4:
[20] customer,experience [18] https,t [18] t,co [18] #cx,#technology [18] rejoignez,moi [18] moi,à [18] servicenow,oct [18] oct,31 [18] 31,2019 [18] 2019,pour Top Word Pairs in Tweet in G5:
[53] future,banking [53] banking,less [53] less,digital [53] digital,technology [53] technology,more [53] more,digital [53] digital,culture [53] culture,financialbrand [53] financialbrand,#digitalbanking [53] #digitalbanking,#cx Top Word Pairs in Tweet in G6:
[18] communications,vonage [18] vonage,#vonagecampus [17] balance,between [16] #customerservice,#cx [16] #cctr,#contactcenter [15] #vonagecampus,#cx [15] vonage,newvoicemedia [14] evankirstel,customers [13] live,#vonagecampus [13] #vonagecampus,optimizing Top Word Pairs in Tweet in G7:
[12] #ux,#cx [12] customer,experience [9] #unleashcx,#customerexperience [9] #customerexperience,#cx [8] #startup,smb [8] smb,needs [8] needs,#seo [8] #seo,strategy [8] strategy,fast [8] fast,#mobile Top Word Pairs in Tweet in G8:
[17] uctodaynews,posted [13] gt,gt [11] gt,#cx [9] nice,incontact [8] #ucsummit,2020 [7] customer,service [7] #cc,#cctr [7] posted,speechmatics [7] speechmatics,secures [7] secures,6 Top Word Pairs in Tweet in G9:
[13] #b2b,#b2bmarketing [13] #b2bmarketing,#valasys [7] #roi,#cx [7] #cx,#cxo [7] customer,experience [6] valasys,#b2b [5] services,valasys [5] #cxo,#cxstrategy [5] #cx,#customerexperience [5] personalized,#cx Top Word Pairs in Tweet in G10:
[16] customer,experience [11] ibm's,ginni [11] ginni,rometty [11] rometty,automobile [11] automobile,brands [11] brands,becoming [11] becoming,less [11] less,important [11] important,amid [11] amid,rise Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G9:
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: