The graph represents a network of 4,621 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, 23 August 2020 at 21:37 UTC.
The requested start date was Sunday, 23 August 2020 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, 14-hour, 34-minute period from Monday, 17 August 2020 at 18:20 UTC to Saturday, 22 August 2020 at 08:54 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 : 4621
Unique Edges : 5190
Edges With Duplicates : 10368
Total Edges : 15558
Number of Edge Types : 5
Retweet : 3489
MentionsInRetweet : 5468
Replies to : 121
Tweet : 2526
Mentions : 3954
Self-Loops : 2743
Reciprocated Vertex Pair Ratio : 0.0504657305713889
Reciprocated Edge Ratio : 0.0960825833774484
Connected Components : 890
Single-Vertex Connected Components : 551
Maximum Vertices in a Connected Component : 2986
Maximum Edges in a Connected Component : 12592
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.131785
Graph Density : 0.000353927252866876
Modularity : 0.418895
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 4,621 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, 23 August 2020 at 21:37 UTC.
The requested start date was Sunday, 23 August 2020 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, 14-hour, 34-minute period from Monday, 17 August 2020 at 18:20 UTC to Saturday, 22 August 2020 at 08:54 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:
[576] customer,experience [317] #cx,#customerexperience [254] #ai,#iot [247] #python,#rstats [237] #customerexperience,#cx [231] #iiot,#python [219] #iot,#iiot [219] #custexp,#cx [199] #bigdata,#analytics [193] #ux,#cx Top Word Pairs in Tweet in G1:
[85] #marketing,#cx [77] #ai,#iot [65] enricomolinari,cc [64] #fintech,#banking [60] pawlowskimario,#ai [59] #ml,#dl [59] advantages,#bigdata [59] #bigdata,banking [59] banking,#infographic [59] #infographic,ingliguori Top Word Pairs in Tweet in G2:
[162] #cxm,#custexp [159] #custexp,#cx [114] customer,experience [107] #custserv,#cx [105] #cx,#cctr [104] #cctr,#callcenter [104] #callcenter,#contactcenter [101] #customerexperience,#customerservice [96] #contactcenter,#customerexperience [96] #customerservice,#custexp Top Word Pairs in Tweet in G3:
[121] customer,experience [76] #cx,#customerexperience [54] #custexp,#cx [43] #cx,#custserv [40] customer,service [38] cx,journey [36] #customerexperience,#cx [25] customer,expectations [24] gt,gt [23] #cx,#custexp Top Word Pairs in Tweet in G4:
[213] #python,#rstats [199] #iiot,#python [186] #iot,#iiot [175] #ai,#iot [168] #bigdata,#analytics [129] #analytics,#datascience [109] #datascience,#ai [98] #javascript,#reactjs [97] #rstats,#javascript [94] #machinelearning,#bigdata Top Word Pairs in Tweet in G5:
[15] best,selling [15] selling,author [15] according,idc [15] idc,study [15] study,chief [15] chief,data [15] data,officers [15] officers,#cdos [15] #cdos,#businessleaders [15] #businessleaders,top Top Word Pairs in Tweet in G6:
[45] digital,transformation [41] impact,digital [41] transformation,businesses [41] businesses,#digitalworld [41] #digitalworld,#ux [41] #ux,#cx [41] #cx,#leadership [26] grattongirl,impact [26] #leadership,#mondaymotiva [17] customer,experience Top Word Pairs in Tweet in G7:
[49] more,download [48] emerging,challenges [48] challenges,#digital [48] #digital,economy [48] read,more [47] ronald_vanloon,emerging [46] economy,ronald_vanloon [46] ronald_vanloon,read [45] download,rep [8] #saas,business Top Word Pairs in Tweet in G8:
[14] customer,experience [13] #cx,#customerexperience [10] #customerexperience,#cx [6] customer,experiences [5] learn,rbl [5] rbl,bank [5] bank,leveraged [5] leveraged,modern [5] modern,technology [5] technology,amplifier Top Word Pairs in Tweet in G9:
[18] sign,hear [16] #marketing,#cx [15] during,fs_events [15] fs_events,#customerengagement [15] #customerengagement,#webinar [15] #webinar,week [15] week,today [15] 11am,edt [13] customer,experience [11] retail,#cx Top Word Pairs in Tweet in G10:
[9] #banking,#fintech [8] #finserv,firms [8] covid,19 [8] social,media [8] customer,experience [7] #fintech,#finserv [7] #customers,tools [7] tools,help [7] help,better [7] better,manage Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
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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 G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: