The graph represents a network of 3,578 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, 11 October 2021 at 00:23 UTC.
The requested start date was Sunday, 10 October 2021 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 3-day, 17-hour, 58-minute period from Wednesday, 06 October 2021 at 05:52 UTC to Saturday, 09 October 2021 at 23:51 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 : 3578
Unique Edges : 3783
Edges With Duplicates : 12073
Total Edges : 15856
Number of Edge Types : 5
MentionsInRetweet : 6382
Mentions : 3059
Retweet : 4639
Tweet : 1673
Replies to : 103
Self-Loops : 1884
Reciprocated Vertex Pair Ratio : 0.0379605508001489
Reciprocated Edge Ratio : 0.0731444962352098
Connected Components : 786
Single-Vertex Connected Components : 484
Maximum Vertices in a Connected Component : 2116
Maximum Edges in a Connected Component : 13662
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.265874
Graph Density : 0.000435832119780231
Modularity : 0.323383
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,578 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, 11 October 2021 at 00:23 UTC.
The requested start date was Sunday, 10 October 2021 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 3-day, 17-hour, 58-minute period from Wednesday, 06 October 2021 at 05:52 UTC to Saturday, 09 October 2021 at 23:51 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:
[2073] #ai,#datascience [2038] #datascience,#finserv [2016] #digital,#tech [1864] #tech,#cloud [1858] #machinelearning,#bigdata [1729] #cloud,#ai [1686] #finserv,#machinelearning [816] #bigdata,#100daysofcode [569] chidambara09,#digital [431] #100daysofcode,#python Top Word Pairs in Tweet in G1:
[77] customer,experience [58] customer,support [57] result,pandemic [56] direct,result [56] pandemic,ahead [56] ahead,#digitaltransformation [56] #digitaltransformation,three [56] three,years [56] years,sectors [56] sectors,affected Top Word Pairs in Tweet in G2:
[2010] #ai,#datascience [1997] #datascience,#finserv [1977] #digital,#tech [1825] #tech,#cloud [1821] #machinelearning,#bigdata [1685] #cloud,#ai [1652] #finserv,#machinelearning [793] #bigdata,#100daysofcode [548] chidambara09,#digital [417] #100daysofcode,#python Top Word Pairs in Tweet in G3:
[77] customer,experience [46] customer,service [40] #cx,#custserv [39] #cx,#customerexperience [31] scott,mckain [31] playing,distinction [31] distinction,radio [31] radio,join [31] join,cutting [31] cutting,edge Top Word Pairs in Tweet in G4:
[122] gt,gt [67] #ai,#bigdata [61] wef,mikequindazzi [60] mikequindazzi,#iot [60] #iot,#ai [59] 72,#tech [59] #tech,advancements [59] advancements,aiming [59] aiming,improve [59] improve,standard Top Word Pairs in Tweet in G5:
[71] gt,gt [68] learn,more [62] #cx,#cxone [58] customer,experience [50] jackson,hole [46] industry,analysts [40] hole,wyoming [40] gt,#cx [35] ceo,barakeilam [33] contact,center Top Word Pairs in Tweet in G6:
[173] artificial,intelligence [155] #ai,#cx [153] intelligence,become [153] become,greatest [153] greatest,salesperson [153] salesperson,according [153] according,oracle [153] oracle,yes [153] yes,learn [153] learn,more Top Word Pairs in Tweet in G7:
[19] customer,experience [13] #customerexperience,#cx [10] #marketing,#cx [9] #cx,#customerexperience [8] #travel,volumes [8] volumes,returning [8] returning,many [8] many,parts [8] parts,world [8] world,#customerexperience Top Word Pairs in Tweet in G8:
[31] #cx,#customerexperience [22] #cxnews,#cx [11] better,way [10] end,end [9] avaya,onecloud [9] onecloud,#ccaas [9] talkdesk,announces [9] announces,talkdesk [9] talkdesk,citizen [9] citizen,engagement Top Word Pairs in Tweet in G9:
[6] customer,experience [6] take,look [5] service,experiences [5] outstanding,#cx [5] bandainamcoeu,spurs [5] spurs,turnkeyvacation [5] turnkeyvacation,washingtonnfl [4] experiences,#cx [4] latest,updates [4] oraclecx's,jwartgow Top Word Pairs in Tweet in G10:
[11] untapped,continent [11] continent,home [11] home,16 [11] 16,world [11] world,population [11] population,95m [11] 95m,people [11] people,#unbanked [11] #unbanked,#neobanks [11] #neobanks,#africa Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: