The graph represents a network of 3,331 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 Tuesday, 25 May 2021 at 00:09 UTC.
The requested start date was Sunday, 23 May 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 10-day, 17-hour, 15-minute period from Wednesday, 12 May 2021 at 06:45 UTC to Sunday, 23 May 2021 at 00:00 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 : 3331
Unique Edges : 3561
Edges With Duplicates : 12354
Total Edges : 15915
Number of Edge Types : 5
Mentions : 2609
Tweet : 1726
Retweet : 4799
MentionsInRetweet : 6697
Replies to : 84
Self-Loops : 1871
Reciprocated Vertex Pair Ratio : 0.0355878516862307
Reciprocated Edge Ratio : 0.0687297589060813
Connected Components : 785
Single-Vertex Connected Components : 474
Maximum Vertices in a Connected Component : 1908
Maximum Edges in a Connected Component : 13646
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.919417
Graph Density : 0.000501071470750246
Modularity : 0.310604
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,331 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 Tuesday, 25 May 2021 at 00:09 UTC.
The requested start date was Sunday, 23 May 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 10-day, 17-hour, 15-minute period from Wednesday, 12 May 2021 at 06:45 UTC to Sunday, 23 May 2021 at 00:00 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:
[1560] #linux,#datascience [1549] #datascience,#usa [1525] #bigdata,#linux [1124] #cx,#digitaltransformation [1081] #javascript,#github [1003] #usa,#cx [997] #github,#nodejs [994] #cybersecurity,#devops [981] #nodejs,#cybersecurity [929] #nocode,#lowcode Top Word Pairs in Tweet in G1:
[73] customer,experience [44] #customerexperience,#cx [36] #cx,#customerexperience [29] cutting,edge [28] #cx,creating [28] personal,professional [27] scott,mckain [27] playing,distinction [27] distinction,radio [27] radio,join Top Word Pairs in Tweet in G2:
[1516] #linux,#datascience [1505] #datascience,#usa [1482] #bigdata,#linux [1071] #javascript,#github [1070] #cx,#digitaltransformation [989] #github,#nodejs [983] #cybersecurity,#devops [979] #usa,#cx [970] #nodejs,#cybersecurity [921] #nocode,#lowcode Top Word Pairs in Tweet in G3:
[34] customer,experience [26] #cx,#digitaltransformation [25] #datascience,#usa [23] #bigdata,#linux [23] #linux,#datascience [21] world's,highly [21] highly,educated [21] educated,migrants [21] migrants,come [21] #education,wef Top Word Pairs in Tweet in G4:
[29] #cx,#customerexperience [24] customer,experience [24] #cxnews,#cx [22] gt,gt [18] #ccaas,#cx [18] #custexp,#cx [16] #custserv,#cx [16] five9,#ccaas [16] #cx,#custserv [13] #boundless,#customerengagement Top Word Pairs in Tweet in G5:
[33] customer,experience [26] #cx,#customerexperience [18] #customerexperience,#cx [15] customer,service [11] gt,#cx [10] jtwatkin,nealtopf [10] jeanniecw,theccdoctor [10] theccdoctor,murphyjfraser [10] murphyjfraser,kayejchapman [8] nealtopf,globaldenton Top Word Pairs in Tweet in G6:
[14] #custexp,#cx [8] welcome,world [8] world,sid [8] sid,digital [8] digital,#shopping [8] #shopping,assistant [8] assistant,core [8] core,deliver [8] deliver,extraordinary [8] extraordinary,shopping Top Word Pairs in Tweet in G7:
[9] evp,rtarkoff [9] modern,customer [9] customer,#podcast [8] customer,experience [6] oliver,hughes [6] hughes,cmo [6] customer,preferences [6] preferences,shaping [6] shaping,#cx [6] #cx,2021 Top Word Pairs in Tweet in G8:
[21] customer,experience [17] cx,journey [14] #customerexperience,#cx [14] gt,gt [12] click,link [12] link,below [12] #designthinking,#productmanagement [12] empathy,maps [12] innovate,making [12] making,sense Top Word Pairs in Tweet in G9:
[15] tony,toubia [14] webinar,20 [14] matthewcmobley,merkle [14] merkle,martykihn [14] martykihn,salesforce [11] learn,centralize [11] centralize,data [11] data,activate [11] activate,#cx [11] #cx,right Top Word Pairs in Tweet in G10:
[7] #cx,#ex [6] innovation,outcome [6] outcome,determined [6] determined,customers [6] customers,companies [6] companies,without [6] without,investing [6] investing,culture [4] more,#cx [4] #cx,#customerexperience Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: