The graph represents a network of 3,099 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, 18 December 2022 at 01:24 UTC.
The requested start date was Sunday, 18 December 2022 at 01:01 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, 0-hour, 32-minute period from Monday, 12 December 2022 at 17:02 UTC to Friday, 16 December 2022 at 17:35 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 : 3099
Unique Edges : 3104
Edges With Duplicates : 12194
Total Edges : 15298
Number of Edge Types : 5
MentionsInRetweet : 4787
Mentions : 4733
Retweet : 3966
Replies to : 111
Tweet : 1701
Self-Loops : 2961
Reciprocated Vertex Pair Ratio : 0.0477496001827736
Reciprocated Edge Ratio : 0.0911469690361971
Connected Components : 775
Single-Vertex Connected Components : 541
Maximum Vertices in a Connected Component : 1790
Maximum Edges in a Connected Component : 13155
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.555594
Graph Density : 0.000477673403465705
Modularity : 0.267235
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,099 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, 18 December 2022 at 01:24 UTC.
The requested start date was Sunday, 18 December 2022 at 01:01 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, 0-hour, 32-minute period from Monday, 12 December 2022 at 17:02 UTC to Friday, 16 December 2022 at 17:35 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:
[2427] #web3,#cx [2422] #csuite,#digitalhealth [2420] #healthtech,#smartcity [2420] #cx,#ehealth [2420] #datascientist,#csuite [2420] #digitalhealth,#web3 [2418] #smartcity,#datascientist [2415] #ehealth,#finserv [2393] #finserv,#cloud [1499] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[82] customer,experience [39] #customerexperience,#cx [38] improve,#cx [35] customer,service [33] cutting,edge [31] personal,professional [31] playing,distinction [31] distinction,radio [31] professional,distinction [31] scott,mckain Top Word Pairs in Tweet in G2:
[426] #datascientist,#csuite [426] #web3,#cx [426] #healthtech,#smartcity [426] #csuite,#digitalhealth [426] #digitalhealth,#web3 [426] #cx,#ehealth [425] #smartcity,#datascientist [424] #ehealth,#finserv [420] chidambara09,#healthtech [418] #finserv,#cloud Top Word Pairs in Tweet in G3:
[131] #iot,#iiot [100] #ai,#ml [82] #iiot,#iotpl [80] #ai,#machinelearning [72] #iotpl,#iotcl [57] #datascience,#analytics [53] #machinelearning,#iot [42] #programming,#coding [38] #analytics,#bigdata [37] #coding,#programming Top Word Pairs in Tweet in G4:
[1952] #web3,#cx [1952] #csuite,#digitalhealth [1950] #datascientist,#csuite [1950] #healthtech,#smartcity [1950] #digitalhealth,#web3 [1950] #cx,#ehealth [1949] #smartcity,#datascientist [1947] #ehealth,#finserv [1931] #finserv,#cloud [1035] chidambara09,#healthtech Top Word Pairs in Tweet in G5:
[123] #cx,#custserv [101] #hx,#xr [84] #ar,#vr [78] #defi,#daos [76] #daos,#nfts [71] customer,experience [70] #xr,#ar [70] #custserv,#ex [64] #virtualworld,#gamefi [56] #ex,#rox Top Word Pairs in Tweet in G6:
[29] #customerexperience,#custexp [27] #cxmanagement,#customerexperience [23] customer,experiences [19] #datascientist,#csuite [19] #smartcity,#datascientist [19] #custexp,#cx [19] #ehealth,#finserv [19] #finserv,#cloud [19] chidambara09,#healthtech [19] #web3,#cx Top Word Pairs in Tweet in G7:
[9] #retail,#ecommerce [9] #ecommerce,#fashion [8] #customerexperience,#cx [7] contact,center [7] customer,experience [7] forbes,#cx [7] support,channel [7] #business,#branding [7] #fashion,#business [6] #branding,#digitaltransformation Top Word Pairs in Tweet in G8:
[10] #banking,#fintech [8] enjeux,2023 [7] #technology,#innovation [6] business,models [6] customer,interface [6] #openbanking,enables [6] enables,business [6] separating,customer [6] advent,#openbanking [6] models,develop Top Word Pairs in Tweet in G9:
[10] jenny,choo [10] love,tips [10] tips,zendesk's [8] #crm,#cx [7] customer,service [6] #customerexperience,#cx [5] processes,level [5] bottom,line [5] choo,smbs [5] zendesk's,jenny Top Word Pairs in Tweet in G10:
[60] gt,gt [40] business,case [40] expand,#roi [40] areas,articulate [40] potential,areas [40] articulate,expand [34] case,#cloudcomputing [32] 10,potential [27] #cloudcomputing,gt [27] gt,#infographic Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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: