The graph represents a network of 2,543 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, 07 March 2022 at 01:17 UTC.
The requested start date was Sunday, 06 March 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 2-day, 18-hour, 18-minute period from Tuesday, 01 March 2022 at 23:20 UTC to Friday, 04 March 2022 at 17:38 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 : 2543
Unique Edges : 2357
Edges With Duplicates : 11832
Total Edges : 14189
Number of Edge Types : 5
Mentions : 3898
Tweet : 1099
Retweet : 4631
MentionsInRetweet : 4481
Replies to : 80
Self-Loops : 2228
Reciprocated Vertex Pair Ratio : 0.0329534955343394
Reciprocated Edge Ratio : 0.0638044126416219
Connected Components : 573
Single-Vertex Connected Components : 335
Maximum Vertices in a Connected Component : 1493
Maximum Edges in a Connected Component : 12565
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.362339
Graph Density : 0.000518849200517426
Modularity : 0.225829
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,543 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, 07 March 2022 at 01:17 UTC.
The requested start date was Sunday, 06 March 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 2-day, 18-hour, 18-minute period from Tuesday, 01 March 2022 at 23:20 UTC to Friday, 04 March 2022 at 17:38 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:
[4394] #women,#ehealth [4097] #cx,#women [4082] #ces2023,#finserv [4067] #finserv,#fashiontech [4037] #mwc22,#cx [4035] #ehealth,#ces2023 [4023] #datascientist,#cloud [2897] #cloud,#digital [2893] #digital,#mwc22 [2783] #fashiontech,#insur Top Word Pairs in Tweet in G1:
[50] customer,experience [40] #cx,#customerexperience [31] gt,gt [22] learn,more [22] #crm,#cx [21] brazil,sfe [21] sfe,#brand [21] #brand,#crm [21] #cx,#digitalchannels [21] #digitalchannels,#health Top Word Pairs in Tweet in G2:
[1365] #women,#ehealth [1296] #cx,#women [1290] #ces2023,#finserv [1276] #mwc22,#cx [1275] #ehealth,#ces2023 [1274] #finserv,#fashiontech [1267] #datascientist,#cloud [1177] #fashiontech,#insur [1001] chidambara09,#datascientist [941] #cloud,#digital Top Word Pairs in Tweet in G3:
[112] #cx,#custserv [94] #ex,#rox [93] #custserv,#ex [66] #rox,#experienceeconomy [48] #infinitejourneys,#designthinking [47] #defi,#daos [47] #daos,#nfts [45] #experienceeconomy,#infinitejourneys [44] #futureback,#futureofwork [43] #designthinking,#futureback Top Word Pairs in Tweet in G4:
[2699] #women,#ehealth [2477] #cx,#women [2471] #ces2023,#finserv [2470] #finserv,#fashiontech [2446] #mwc22,#cx [2445] #ehealth,#ces2023 [2441] #datascientist,#cloud [1756] #cloud,#digital [1755] #digital,#mwc22 [1315] #fashiontech,#insur Top Word Pairs in Tweet in G5:
[27] #ux,#cx [26] #ai,#wearables [26] #wearables,#ux [25] #women,#ehealth [24] #cx,#technology [24] #datascientist,#cloud [24] #mwc22,#cx [24] #cx,#women [24] #ehealth,#ces2023 [24] #ces2023,#finserv Top Word Pairs in Tweet in G6:
[242] #datascientist,#cloud [242] #mwc22,#cx [242] #cx,#women [242] #women,#ehealth [242] #ehealth,#ces2023 [242] #ces2023,#finserv [242] #finserv,#fashiontech [230] #fashiontech,#insur [150] chidambara09,#datascientist [150] #cloud,#digital Top Word Pairs in Tweet in G7:
[33] #digital,first [30] verint,blog [22] #customerexperience,#cx [21] blog,#hiring [21] #hiring,challenges [21] challenges,rising [21] rising,customer [21] customer,expectations [21] expectations,driving [21] driving,move Top Word Pairs in Tweet in G8:
[32] #digital,experiences [32] experiences,#dreams [32] #dreams,#freedom [32] #freedom,#choice [32] #choice,#independence [32] #independence,distinct [32] distinct,benefits [32] benefits,abv [32] abv,wth [32] wth,technologies Top Word Pairs in Tweet in G9:
[10] march,21 [10] booth,711 [10] 711,see [9] headed,orlando [9] reimagine,#cx [8] customer,service [7] callcentrehelp,#cx [7] #cx,#custserv [6] metrics,gap [6] upcoming,webinar Top Word Pairs in Tweet in G10:
[29] #women,#ehealth [27] #cx,#women [27] #finserv,#fashiontech [25] #datascientist,#cloud [25] #mwc22,#cx [25] #ehealth,#ces2023 [25] #ces2023,#finserv [24] #fashiontech,#insur [17] chidambara09,#datascientist [16] customer,service Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
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: