The graph represents a network of 3,983 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 Wednesday, 30 October 2019 at 04:47 UTC.
The requested start date was Sunday, 27 October 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 3-day, 1-hour, 28-minute period from Wednesday, 23 October 2019 at 22:32 UTC to Sunday, 27 October 2019 at 00:00 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 : 3983
Unique Edges : 5045
Edges With Duplicates : 2730
Total Edges : 7775
Number of Edge Types : 3
Mentions : 5686
Tweet : 2002
Replies to : 87
Self-Loops : 2002
Reciprocated Vertex Pair Ratio : 0.0401188707280832
Reciprocated Edge Ratio : 0.0771428571428571
Connected Components : 942
Single-Vertex Connected Components : 524
Maximum Vertices in a Connected Component : 1891
Maximum Edges in a Connected Component : 4975
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.305973
Graph Density : 0.000308947380964781
Modularity : 0.591327
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,983 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 Wednesday, 30 October 2019 at 04:47 UTC.
The requested start date was Sunday, 27 October 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 3-day, 1-hour, 28-minute period from Wednesday, 23 October 2019 at 22:32 UTC to Sunday, 27 October 2019 at 00:00 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:
[520] customer,experience [315] #customerexperience,#cx [279] gt,gt [238] #cx,#customerexperience [175] customer,service [138] #ux,#cx [98] customer,journey [95] gt,#cx [84] learn,more [82] check,out Top Word Pairs in Tweet in G1:
[117] customer,experience [107] #customerexperience,#cx [57] gt,gt [50] #cx,#customerexperience [44] gt,#cx [42] #customer,#experience [29] customer,journey [29] #ai,#analytics [25] #ux,#cx [24] #experience,cx Top Word Pairs in Tweet in G2:
[79] customer,experience [49] artificial,intelligence [43] #customerexperience,#cx [36] #cx,#technology [32] #cx,#customerexperience [25] #cx,cc [25] #custserv,#cx [24] gt,gt [24] experience,2030 [23] learn,more Top Word Pairs in Tweet in G3:
[98] customer,experience [74] #cx,#customerexperience [56] #custexp,#cx [49] #customerexperience,#cx [44] shep,hyken [44] #lifeurope,#cx [43] leader,insights [38] customer,service [36] insights,forum [31] #teleperformance,leader Top Word Pairs in Tweet in G4:
[39] #cx,#customercare [36] customer,experience [28] #customerexperience,#cx [25] #fintech,#banking [24] #ux,#cx [17] #management,#leadership [17] find,out [16] forrester,#cx [14] #ccm,#cx [12] #innovation,#fintech Top Word Pairs in Tweet in G5:
[123] gt,gt [61] gartner,hype [61] hype,cycle [61] cycle,highlights [61] highlights,technologies [61] technologies,help [61] help,create [61] create,broader [61] broader,more [61] more,unified Top Word Pairs in Tweet in G6:
[27] #customerexperience,#cx [15] customer,experience [12] digital,transformation [11] improve,#customerexperience [10] #cx,productivity [10] productivity,businesses [10] businesses,remy [10] remy,alexander [10] alexander,lazarovici [10] lazarovici,head Top Word Pairs in Tweet in G7:
[15] experience,2030 [13] 2030,research [13] research,live [13] live,here [13] here,free [13] free,over [13] over,4000 [13] 4000,brands [13] brands,consumers [13] consumers,future Top Word Pairs in Tweet in G8:
[7] mark,hurd [6] pgreenbe,special [6] special,#crmplayaz [6] #crmplayaz,discuss [6] discuss,impact [6] impact,oracle's [6] oracle's,former [6] former,co [6] co,ceo [6] ceo,mark Top Word Pairs in Tweet in G9:
[14] customer,experience [9] #cxtweetchat,#cx [8] 5,technologies [8] technologies,making [8] making,biggest [8] biggest,impact [8] impact,cx [8] cx,next [8] next,3 [8] 3,years Top Word Pairs in Tweet in G10:
[22] #regtech,ume_kyd [22] #fund,#distributors [21] #tech,#fintech [21] award,#regtech [21] #distributors,#network [21] #network,#fintech [19] #fintech,#finserv [19] #finserv,#ai [19] #ai,#insurtech [19] #insurtech,#machinelearning Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: