The graph represents a network of 4,304 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, 15 May 2022 at 00:20 UTC.
The requested start date was Sunday, 15 May 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 6-day, 3-hour, 11-minute period from Sunday, 08 May 2022 at 14:26 UTC to Saturday, 14 May 2022 at 17:37 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 : 4304
Unique Edges : 4258
Edges With Duplicates : 10515
Total Edges : 14773
Number of Edge Types : 5
Retweet : 3542
MentionsInRetweet : 5213
Mentions : 3537
Tweet : 2341
Replies to : 140
Self-Loops : 2546
Reciprocated Vertex Pair Ratio : 0.0478094286190238
Reciprocated Edge Ratio : 0.0912559618441971
Connected Components : 898
Single-Vertex Connected Components : 584
Maximum Vertices in a Connected Component : 2510
Maximum Edges in a Connected Component : 11572
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.056568
Graph Density : 0.000339630775451034
Modularity : 0.384038
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,304 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, 15 May 2022 at 00:20 UTC.
The requested start date was Sunday, 15 May 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 6-day, 3-hour, 11-minute period from Sunday, 08 May 2022 at 14:26 UTC to Saturday, 14 May 2022 at 17:37 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:
[651] customer,experience [353] #cx,#custserv [322] #cx,#women [318] #healthtech,#datascientist [317] #women,#ehealth [290] #ehealth,#ces2023 [285] #ai,#digitalhealth [279] #custserv,#ex [271] #digitalhealth,#startups [267] #startups,#cx Top Word Pairs in Tweet in G1:
[114] customer,experience [62] #cx,#customerexperience [44] #customerexperience,#cx [28] customer,service [24] learn,more [21] experience,#cx [19] read,more [18] #crm,#cx [16] #ux,#cx [16] contact,center Top Word Pairs in Tweet in G2:
[290] #cx,#women [289] #healthtech,#datascientist [286] #women,#ehealth [266] #ehealth,#ces2023 [260] #ai,#digitalhealth [246] #digitalhealth,#startups [242] #startups,#cx [200] #coding,#programming [199] #datascientist,#iot [195] #programming,#python Top Word Pairs in Tweet in G3:
[52] #bigdata,#datascience [51] #abdsc,#bigdata [48] marketing,#analytics [48] #analytics,modern [48] modern,#datascientist [48] #datascientist,#abdsc [46] kirkdborne,marketing [36] #cx,#ai [30] #datascience,#datastrate [26] #banking,#cx Top Word Pairs in Tweet in G4:
[322] #cx,#custserv [262] #custserv,#ex [247] #ex,#rox [161] #rox,#experienceeconomy [131] #daos,#nfts [130] #infinitejourneys,#designthinking [130] #defi,#daos [117] customer,experience [107] #experienceeconomy,#futureofwork [92] #futureofwork,#futureback Top Word Pairs in Tweet in G5:
[262] تجربة,العميل [175] العميل,منهجية [145] العوامل,المؤثرة [145] المؤثرة,على [145] factors,affecting [145] affecting,customer [145] customer,experience [145] من,كتاب [128] #تجربة_العميل,العوامل [128] على,factors Top Word Pairs in Tweet in G6:
[21] #cx,#customerexperience [20] customer,experience [19] contact,center [17] five9,five9_emea [17] customer,experiences [16] learn,more [15] improve,#cx [15] #customerexperience,#ccaas [14] #contactcenter,#contactcentersolutions [14] #contactcentersolutions,#cx Top Word Pairs in Tweet in G7:
[41] customer,experience [34] #cx,#ex [29] david,singer [28] biggest,#cx [27] verint,david [27] singer,chats [27] chats,ccpipeline [27] today,biggest [26] 31,june [26] join,constellationr Top Word Pairs in Tweet in G8:
[16] customer,experience [13] #fintech,#banking [13] #banking,#fintech [11] learn,more [10] #ux,#cx [9] #openbanking,#openapis [9] #openapis,#finserv [9] #opendata,#wallets [9] #innovation,#fintech [9] around,world Top Word Pairs in Tweet in G9:
[38] #ucaas,#ccaas [22] #ex,#cx [21] #cx,#ex [19] #ccaas,#cx [17] ringcentral,announces [17] announces,first [17] first,quarter [17] quarter,2022 [17] 2022,results [17] results,q1'22 Top Word Pairs in Tweet in G10:
[87] #ai,#wearables [82] #wearables,#ux [82] #ux,#cx [73] mikequindazzi,#ai [62] #corpgov,#wef [62] #wef,#finserv [62] #finserv,#csr [62] #insurtech,#csuite [54] #salesforce,#corpgov [54] #csr,#crm Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G10: