The graph represents a network of 2,656 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, 10 January 2022 at 01:19 UTC.
The requested start date was Sunday, 09 January 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 3-day, 7-hour, 43-minute period from Wednesday, 05 January 2022 at 17:15 UTC to Sunday, 09 January 2022 at 00:58 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 : 2656
Unique Edges : 2580
Edges With Duplicates : 13102
Total Edges : 15682
Number of Edge Types : 5
Retweet : 5009
MentionsInRetweet : 5951
Tweet : 1331
Mentions : 3327
Replies to : 64
Self-Loops : 1863
Reciprocated Vertex Pair Ratio : 0.0375281461095822
Reciprocated Edge Ratio : 0.0723414516517965
Connected Components : 576
Single-Vertex Connected Components : 343
Maximum Vertices in a Connected Component : 1522
Maximum Edges in a Connected Component : 13838
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.974003
Graph Density : 0.000588086810518912
Modularity : 0.23966
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,656 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, 10 January 2022 at 01:19 UTC.
The requested start date was Sunday, 09 January 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 3-day, 7-hour, 43-minute period from Wednesday, 05 January 2022 at 17:15 UTC to Sunday, 09 January 2022 at 00:58 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:
[2774] #cx,#women [2765] #women,#ehealth [2697] #datascience,#ai [2668] #digital,#cx [2648] #finserv,#fashiontech [2579] #datascientist,#digital [2533] #fashiontech,#insurtech [2460] #ai,#finserv [2421] #ehealth,#datascience [1861] chidambara09,#datascientist Top Word Pairs in Tweet in G1:
[1586] #datascience,#ai [1482] #cx,#women [1475] #women,#ehealth [1397] #digital,#cx [1391] #finserv,#fashiontech [1343] #datascientist,#digital [1310] #fashiontech,#insurtech [1304] #ai,#finserv [1285] #ehealth,#datascience [1178] chidambara09,#datascientist Top Word Pairs in Tweet in G2:
[49] customer,experience [38] #cx,#customerexperience [26] #customerexperience,#cx [17] customer,service [16] #cx,#customersuccess [15] read,more [14] gt,gt [13] learn,more [10] more,gt [10] #cx,#customerservice Top Word Pairs in Tweet in G3:
[57] #cx,#custserv [42] #cx,#customerexperience [31] #ex,#rox [31] customer,experience [31] #digital,#cx [28] #datascientist,#digital [26] chidambara09,#datascientist [20] #cx,#iot [19] #custserv,#custexp [19] #rox,#experienceeconomy Top Word Pairs in Tweet in G4:
[1246] #cx,#women [1245] #women,#ehealth [1215] #finserv,#fashiontech [1206] #digital,#cx [1181] #fashiontech,#insurtech [1180] #datascientist,#digital [1117] #ai,#finserv [1095] #ehealth,#datascience [1072] #datascience,#ai [632] chidambara09,#datascientist Top Word Pairs in Tweet in G5:
[35] customer,service [32] #ex,#cx [31] #customerexperience,#cx [27] #ccaas,#xcaas [26] learn,more [21] customer,experience [21] #ucaas,#ccaas [16] #customerservice,#customerexperience [15] tei,study [15] study,conducted Top Word Pairs in Tweet in G6:
[46] artificial,intelligence [45] #ai,#wearables [45] #wearables,#ux [45] #ux,#cx [34] #cx,#digitaltransformation [25] mikequindazzi,#ai [19] machine,learning [13] worldtrendsinfo,#ai [13] deep,learning [13] intelligence,ai Top Word Pairs in Tweet in G7:
[18] championships,day [17] british,cyclocross [17] cyclocross,championships [15] good,luck [14] #cx,#cyclocross [13] britishcycling,#cx [12] weekends,britishcycling [12] #ciclismo,#cycling [11] #cycling,#ciclocross [10] #ciclocross,#cx Top Word Pairs in Tweet in G8:
[14] ronald_vanloon,emisut [14] emisut,#oraclepartner [11] #oraclepartner,oracle [11] oracle,oraclecloudscm [10] solving,#supplychain [10] #supplychain,disruption [10] disruption,role [10] role,#ai [10] #ai,ronald_vanloon [9] ronald_vanloon,solving Top Word Pairs in Tweet in G9:
[16] #digital,#cx [15] #cx,#women [15] #women,#ehealth [15] #ehealth,#datascience [15] #datascience,#ai [15] #ai,#finserv [14] #finserv,#fashiontech [14] #fashiontech,#insurtech [14] #datascientist,#digital [13] chidambara09,#datascientist Top Word Pairs in Tweet in G10:
[14] #business,#marketing [12] #customerexperience,#customerservice [12] #customerservice,#customer [12] #customer,#business [10] #marketing,#customerappreciation [10] #customerappreciation,#cx [7] #cx,#sales [7] #ai,#tech [7] #tech,#technology [7] #technology,#retail Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 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:
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Top Tweeters in G7:
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Top Tweeters in G10: