The graph represents a network of 4,079 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, 04 December 2022 at 01:21 UTC.
The requested start date was Sunday, 04 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 6-day, 22-hour, 21-minute period from Friday, 25 November 2022 at 19:17 UTC to Friday, 02 December 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 : 4079
Unique Edges : 3814
Edges With Duplicates : 12165
Total Edges : 15979
Number of Edge Types : 5
Retweet : 3682
MentionsInRetweet : 5880
Replies to : 114
Mentions : 4041
Tweet : 2262
Self-Loops : 3050
Reciprocated Vertex Pair Ratio : 0.0471092077087794
Reciprocated Edge Ratio : 0.0899795501022495
Connected Components : 893
Single-Vertex Connected Components : 588
Maximum Vertices in a Connected Component : 2217
Maximum Edges in a Connected Component : 12557
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.88115
Graph Density : 0.000352767996367956
Modularity : 0.329195
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,079 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, 04 December 2022 at 01:21 UTC.
The requested start date was Sunday, 04 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 6-day, 22-hour, 21-minute period from Friday, 25 November 2022 at 19:17 UTC to Friday, 02 December 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:
[616] #web3,#cx [602] #csuite,#digitalhealth [602] #cx,#ehealth [600] #datascientist,#csuite [600] #digitalhealth,#web3 [599] #ehealth,#finserv [573] #finserv,#cloud [463] #iot,#iiot [379] chidambara09,#healthtech [375] customer,experience Top Word Pairs in Tweet in G1:
[85] customer,experience [53] #cx,#customerexperience [43] #customerexperience,#cx [39] talks,#architecture [39] top,tips [39] drive,#scale [39] #architecture,journey [39] tips,discussion [39] initiatives,top [39] stack,drive Top Word Pairs in Tweet in G2:
[598] #csuite,#digitalhealth [598] #cx,#ehealth [596] #digitalhealth,#web3 [596] #web3,#cx [596] #datascientist,#csuite [595] #ehealth,#finserv [568] #finserv,#cloud [375] chidambara09,#healthtech [364] #healthtech,#smartcity [364] #smartcity,#datascientist Top Word Pairs in Tweet in G3:
[244] #iot,#iiot [172] #ai,#ml [155] #iotpl,#iotcl [148] #iiot,#iotpl [88] gave,kred [88] kred,#influence [66] #ai,#machinelearning [64] #iotcommunity,#iot [63] eli_krumova,gave [59] #tech,#emergingtech Top Word Pairs in Tweet in G4:
[34] learn,more [34] customer,experience [19] #retail,#ecommerce [19] #ecommerce,#fashion [18] #fashion,#business [18] fireside,chat [17] #cx,#customerexperience [16] gt,gt [16] contact,center [16] #cx,work Top Word Pairs in Tweet in G5:
[153] #cx,#custserv [146] #daos,#nfts [129] #virtualworld,#gamefi [122] #ar,#vr [122] #xr,#ar [121] #defi,#daos [90] #hx,#xr [83] #designthinking,#infinitejourneys [74] #custserv,#ex [72] #infinitejourneys,#designthinking Top Word Pairs in Tweet in G6:
[155] こんや19,00 [155] きよりん頑張ってきたよ,#cx [155] #fns歌謡祭,代表チームに選ばれて嬉しい [155] 武部監督,きよりん頑張ってきたよ [155] 00,#vs魂 [155] ゲームしたり楽しんでるだけでスタジオいると,なんか罪悪感ある [155] それくらいひたすら楽しみました,#fns歌謡祭 [155] #vs魂,ゲームしたり楽しんでるだけでスタジオいると [155] 代表チームに選ばれて嬉しい,武部監督 [155] なんか罪悪感ある,それくらいひたすら楽しみました Top Word Pairs in Tweet in G7:
[107] #cyclocross,#cx [94] #veldrijden,#cyclocross [56] #cx,#hulst [46] #hulst,#cxworldcup [40] mathieu,poel [39] #cx,#cyclocross [36] cyclo,cross [35] #cx,#veldrijden [34] #ciclocross,#cx [24] #cxworldcup,#cx Top Word Pairs in Tweet in G8:
[20] key,factors [18] ingliguori,ceo [18] #digitaltransformation,ingliguori [18] factors,successful [18] successful,#digitaltransformation [18] ceo,kenovy_it [17] kenovy_it,#digitaltransformation [17] #digitaltransformation,#cloud [14] #ux,#cx [12] #fintech,#banking Top Word Pairs in Tweet in G9:
[105] systems,lower [105] #cx,amazon [105] costs,improve [105] aws,supply [105] #reinvent,announcements [105] few,#reinvent [105] visibility,systems [105] supply,chain [105] improve,#cx [105] lower,costs Top Word Pairs in Tweet in G10:
[34] #ai,#machinelearning [25] #machinelearning,#iot [25] #iot,#5g [22] customer,experience [19] #cx,#vr [19] #selfdrivingcars,#datascience [19] #vr,#selfdrivingcars [19] #datascience,#fashiontech [19] #5g,#cx [18] skillset,#datascientist Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: