The graph represents a network of 3,582 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 Monday, 04 April 2022 at 00:19 UTC.
The requested start date was Sunday, 03 April 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, 31-minute period from Tuesday, 29 March 2022 at 10:13 UTC to Saturday, 02 April 2022 at 23:45 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 : 3582
Unique Edges : 3512
Edges With Duplicates : 10708
Total Edges : 14220
Number of Edge Types : 5
Retweet : 3866
MentionsInRetweet : 4643
Mentions : 3740
Tweet : 1883
Replies to : 88
Self-Loops : 2577
Reciprocated Vertex Pair Ratio : 0.0423382763808296
Reciprocated Edge Ratio : 0.0812371134020619
Connected Components : 851
Single-Vertex Connected Components : 521
Maximum Vertices in a Connected Component : 1926
Maximum Edges in a Connected Component : 11487
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.154206
Graph Density : 0.000378104491242086
Modularity : 0.322227
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,582 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 Monday, 04 April 2022 at 00:19 UTC.
The requested start date was Sunday, 03 April 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, 31-minute period from Tuesday, 29 March 2022 at 10:13 UTC to Saturday, 02 April 2022 at 23:45 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:
[2335] #women,#ehealth [2331] #cx,#women [2266] #ehealth,#ces2023 [2203] #ces2023,#finserv [2016] #healthtech,#datascientist [1700] #digitalhealth,#cloud [1377] chidambara09,#healthtech [1369] #usa,#cx [1040] #cloud,#usa [855] #datascientist,#digitalhealth Top Word Pairs in Tweet in G1:
[73] customer,experience [49] #cx,#customerexperience [40] improve,#cx [37] personal,professional [36] data,driven [36] scott,mckain [36] playing,distinction [36] distinction,radio [36] radio,join [36] join,cutting Top Word Pairs in Tweet in G2:
[1912] #women,#ehealth [1908] #cx,#women [1849] #ehealth,#ces2023 [1805] #ces2023,#finserv [1649] #healthtech,#datascientist [1373] #digitalhealth,#cloud [1085] #usa,#cx [1020] chidambara09,#healthtech [805] #cloud,#usa [690] #ai,#digitalhealth Top Word Pairs in Tweet in G3:
[164] #cx,#custserv [147] #custserv,#ex [146] #ex,#rox [121] #rox,#experienceeconomy [103] #infinitejourneys,#designthinking [97] #defi,#daos [94] #daos,#nfts [72] #experienceeconomy,#futureofwork [71] #futureofwork,#futureback [70] customer,experience Top Word Pairs in Tweet in G4:
[401] #cx,#women [401] #women,#ehealth [395] #ehealth,#ces2023 [379] #ces2023,#finserv [346] #healthtech,#datascientist [337] chidambara09,#healthtech [308] #digitalhealth,#cloud [270] #usa,#cx [224] #cloud,#usa [170] #datascientist,#digitalhealth Top Word Pairs in Tweet in G5:
[22] learn,more [21] customer,experience [18] join,five9 [16] customer,data [16] evp,gm [15] five9,ceo [15] ceo,rowantrollope [15] rowantrollope,evp [15] gm,oracle [15] oracle,rtarkoff Top Word Pairs in Tweet in G6:
[105] intelligntworld,guest [105] guest,host [105] host,maribellopez [97] edo,segal [96] ai,powered [96] powered,#data [96] #data,platform [96] platform,drive [96] drive,#cx [96] #cx,improvements Top Word Pairs in Tweet in G7:
[103] النجاح,في [103] في,#تجربة_العميل [103] #تجربة_العميل,#cx [102] abdulazizosime,النجاح Top Word Pairs in Tweet in G8:
[18] customer,experience [11] #cx,cc [10] three,reasons [10] reasons,ai [10] ai,fails [10] fails,scale [10] scale,#ai [10] #ai,#itops [10] #itops,#cx [10] cc,nickbrackney Top Word Pairs in Tweet in G9:
[45] gt,gt [31] join,verint [31] verint,april [31] april,speakers [31] speakers,expanding [31] expanding,benefits [31] benefits,#wfm [31] #wfm,#km [31] #km,enterprise [31] enterprise,addressing Top Word Pairs in Tweet in G10:
[24] chiffres,clés [24] mars,2022 [23] clés,#marketing [23] #marketing,mars [23] 2022,_kissthebride_ [23] _kissthebride_,#socialmedia [23] #socialmedia,#transfonum [22] anthonyrochand,chiffres [22] #transfonum,#c [12] expérience,client Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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: