The graph represents a network of 3,263 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, 28 August 2022 at 00:34 UTC.
The requested start date was Sunday, 28 August 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, 13-hour, 18-minute period from Tuesday, 23 August 2022 at 04:18 UTC to Saturday, 27 August 2022 at 17:36 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 : 3263
Unique Edges : 3153
Edges With Duplicates : 11361
Total Edges : 14514
Number of Edge Types : 5
Retweet : 4252
MentionsInRetweet : 5169
Mentions : 3208
Tweet : 1792
Replies to : 93
Self-Loops : 2442
Reciprocated Vertex Pair Ratio : 0.0329901239756251
Reciprocated Edge Ratio : 0.063873067534581
Connected Components : 755
Single-Vertex Connected Components : 501
Maximum Vertices in a Connected Component : 1953
Maximum Edges in a Connected Component : 12439
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.854139
Graph Density : 0.000461860523758853
Modularity : 0.301323
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 3,263 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, 28 August 2022 at 00:34 UTC.
The requested start date was Sunday, 28 August 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, 13-hour, 18-minute period from Tuesday, 23 August 2022 at 04:18 UTC to Saturday, 27 August 2022 at 17:36 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:
[1244] #ai,#iot [1193] #ehealth,#finserv [1192] #healthtech,#datascientist [1187] #finserv,#cloud [1185] #csuite,#digitalhealth [1179] #cx,#ehealth [1177] #cloud,#insurtech [1176] #datascientist,#csuite [1176] #web3,#cx [1172] #digitalhealth,#web3 Top Word Pairs in Tweet in G1:
[110] customer,experience [52] #cx,#customerexperience [47] #cx,#ucaas [43] more,#cx [42] find,more [41] great,customer [40] experience,happier [40] happier,customers [40] customers,speed [40] speed,convenience Top Word Pairs in Tweet in G2:
[723] #ai,#iot [559] #iot,#iiot [529] #iiot,#cx [424] #ai,#ml [422] #datascience,#bigdata [414] #ml,#iot [403] #bigdata,#analytics [392] #geoscience,#water [392] #water,#scicomm [358] #sdgs,#programming Top Word Pairs in Tweet in G3:
[43] #ai,#wearables [41] #ux,#cx [39] #wearables,#ux [34] mikequindazzi,#ai [32] #cx,#digitaltransformation [31] customer,experience [31] contact,center [26] tech,issue [26] issue,#81 [26] #81,featuring Top Word Pairs in Tweet in G4:
[84] customer,experience [48] #cx,#custserv [45] #customerexperience,#cx [40] #custserv,#ex [36] #ex,#rox [34] #healthtech,#datascientist [33] #csuite,#digitalhealth [32] #datascientist,#csuite [32] #digitalhealth,#web3 [32] #web3,#cx Top Word Pairs in Tweet in G5:
[25] chidambara09,#healthtech [25] #healthtech,#datascientist [25] #ehealth,#finserv [25] #finserv,#cloud [25] #cloud,#insurtech [22] forbes,#cx [21] #datascientist,#csuite [21] #csuite,#digitalhealth [21] #digitalhealth,#web3 [21] #web3,#cx Top Word Pairs in Tweet in G6:
[970] #ehealth,#finserv [968] #healthtech,#datascientist [965] #finserv,#cloud [964] #csuite,#digitalhealth [961] #cx,#ehealth [959] #datascientist,#csuite [958] #cloud,#insurtech [954] #digitalhealth,#web3 [952] #web3,#cx [488] chidambara09,#healthtech Top Word Pairs in Tweet in G7:
[24] q3,2022 [24] 2022,shortlist [24] shortlist,updates [24] updates,naming [24] naming,top [24] top,vendors [24] vendors,major [20] major,technology [20] technology,sectors [19] ep,40 Top Word Pairs in Tweet in G8:
[15] #cx,#socialmedia [13] comportement,consommateur [13] consommateur,#marketing [13] talkwalkerfr,#cx [12] #marketing,talkwalkerfr [11] relationcltmag,#socialmedia [11] anthonyrochand,comportement [11] #socialmedia,#sociallisten [10] parcours,client [10] client,#omnicanal Top Word Pairs in Tweet in G9:
[31] #ux,#cx [18] future,#businessprocessmanagement [18] #businessprocessmanagement,industry [18] industry,looks [18] looks,bright [18] bright,growth [18] growth,expected [18] expected,industrial [18] industrial,bpo [18] bpo,engineering Top Word Pairs in Tweet in G10:
[11] #customerexperience,#cx [8] #customerservice,#csm [7] application,support [6] customer,experience [6] support,services [6] services,12 [6] 12,fee [6] fee,drivers [6] drivers,normalize [6] normalize,ensure Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: