The graph represents a network of 607 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, 21 June 2020 at 05:14 UTC.
The requested start date was Sunday, 21 June 2020 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 13-day, 5-hour, 48-minute period from Sunday, 07 June 2020 at 00:20 UTC to Saturday, 20 June 2020 at 06:09 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 : 607
Unique Edges : 506
Edges With Duplicates : 1809
Total Edges : 2315
Number of Edge Types : 5
Retweet : 442
MentionsInRetweet : 666
Mentions : 541
Tweet : 664
Replies to : 2
Self-Loops : 670
Reciprocated Vertex Pair Ratio : 0.0658682634730539
Reciprocated Edge Ratio : 0.123595505617978
Connected Components : 73
Single-Vertex Connected Components : 35
Maximum Vertices in a Connected Component : 459
Maximum Edges in a Connected Component : 1958
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.355648
Graph Density : 0.00241951707526601
Modularity : 0.335224
NodeXL Version : 1.0.1.434
Data Import : The graph represents a network of 607 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, 21 June 2020 at 05:14 UTC.
The requested start date was Sunday, 21 June 2020 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 13-day, 5-hour, 48-minute period from Sunday, 07 June 2020 at 00:20 UTC to Saturday, 20 June 2020 at 06:09 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 G2:
[129] #cx,#custexp [109] history,future [82] future,cloud [46] cloud,computing [35] computing,means [35] means,#cx [24] #digitaltransformation,insurance [22] insurance,puts [21] puts,customer [21] customer,first Top Word Pairs in Tweet in G3:
[35] #custserv,#cx [24] #cx,#cctr [24] #cctr,#callcenter [24] #callcenter,#contactcenter [24] #customerexperience,#customerservice [24] #contactcenter,#customerexperience [23] #customerservice,#custexp [23] #custserv,#custexp [23] #cx,#custserv [23] customer,service Top Word Pairs in Tweet in G4:
[93] #bigdata,#customeranalytics [93] future,bright [93] bright,#banking [92] #banking,#journeyanalytics [91] #journeyanalytics,#bigdata [90] kirkdborne,future [90] #customeranalytics,#cus [27] #custexp,#cx [24] #customerjourney,#custexp [14] customer,experience Top Word Pairs in Tweet in G5:
[46] #custserv,#cx [38] #customerservice,#custexp [38] #cctr,#callcenter [38] #cx,#cctr [38] #customerexperience,#customerservice [36] #callcenter,#contactcenter [32] #contactcenter,#customerexperience [21] customer,experience [17] #custexp,#custserv [17] #cx,#custexp Top Word Pairs in Tweet in G6:
[53] customer,experience [42] experience,strategy [40] strategy,conquer [39] conquer,collaborate [39] collaborate,katenasser [38] #custexp,#cx [38] #cx,#custexp [14] gt,customer [14] #custserv,#cx [10] covid,19 Top Word Pairs in Tweet in G7:
[23] #custserv,#cx [12] #cx,#cctr [12] #cctr,#callcenter [12] #callcenter,#contactcenter [12] #contactcenter,#customerexperience [8] #customerexperience,#customerservice [7] #customerservice,#custexp [6] laughlinpaul,#custexp [5] mycustomer,importance [5] importance,compassion Top Word Pairs in Tweet in G8:
[74] learn,more [73] ideas,without [73] without,action [70] action,without [70] without,boots [70] boots,ground [70] ground,means [15] means,nothing [10] nothing,chefjoseandres [10] chefjoseandres,#forrcx Top Word Pairs in Tweet in G9:
[9] know,more [8] solution,know [8] #ai,enabled [8] enabled,#chatbots [8] #chatbots,banks [8] banks,reach [8] reach,customers [8] customers,multiple [8] multiple,channels [8] channels,ensure Top Word Pairs in Tweet in G10:
[16] great,experiences [11] #brand,promise [11] promise,promise [11] promise,delivered [11] delivered,#thursdaythoughts [11] #thursdaythoughts,#custexp [11] #custexp,#cx [11] deniseleeyohn,#brand [11] deliver,great [11] employees,don Top Replied-To in Entire Graph:
Top Replied-To in G7:
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: