The graph represents a network of 2,046 Twitter users whose tweets in the requested range contained "custserv", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 09 November 2020 at 02:07 UTC.
The requested start date was Sunday, 08 November 2020 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 13-day, 3-hour, 23-minute period from Sunday, 25 October 2020 at 01:02 UTC to Saturday, 07 November 2020 at 04:26 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 : 2046
Unique Edges : 2215
Edges With Duplicates : 3502
Total Edges : 5717
Number of Edge Types : 5
Tweet : 639
Replies to : 2082
Mentions : 1462
Retweet : 466
MentionsInRetweet : 1068
Self-Loops : 683
Reciprocated Vertex Pair Ratio : 0.2143139580862
Reciprocated Edge Ratio : 0.352979485509606
Connected Components : 139
Single-Vertex Connected Components : 77
Maximum Vertices in a Connected Component : 1737
Maximum Edges in a Connected Component : 5221
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.55399
Graph Density : 0.000733974335993423
Modularity : 0.385873
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,046 Twitter users whose tweets in the requested range contained "custserv", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 09 November 2020 at 02:07 UTC.
The requested start date was Sunday, 08 November 2020 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 13-day, 3-hour, 23-minute period from Sunday, 25 October 2020 at 01:02 UTC to Saturday, 07 November 2020 at 04:26 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 : custserv
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:
[447] full,name [372] name,email [313] please,dm [258] customer,service [253] sorry,hear [230] home,address [227] chat,soon [205] order,number [175] email,home [166] dm,full Top Word Pairs in Tweet in G1:
[447] full,name [372] name,email [313] please,dm [253] sorry,hear [230] home,address [227] chat,soon [205] order,number [175] email,home [166] dm,full [159] email,address Top Word Pairs in Tweet in G2:
[107] customer,service [43] #custserv,chat [30] #custserv,#cx [27] #cx,#custserv [22] fastest,hour [22] hour,twitter [22] chat,pm [22] pm,pt [22] pt,topic [22] topic,customer Top Word Pairs in Tweet in G3:
[51] itakethelead,365surmarius [51] 365surmarius,themrblueprint [51] themrblueprint,mrkmrkmoh [51] mrkmrkmoh,mariussou [51] mariussou,kiyotaka_1991 [43] promoedutech,grazytgrazynatt [36] #yourmustread,#influencerpromotion [36] influencerprom1,itakethelead [35] grazytgrazynatt,influencerprom1 [34] kiyotaka_1991,easy_â Top Word Pairs in Tweet in G4:
[17] bob,evans [17] evans,restaurants [15] #custserv,#customerexperience [15] apply,today [14] #cx,#custserv [14] host,cashier [13] #customerservice,#training [13] #training,#custserv [13] #customerexperience,#callcenter [13] #callcenter,#businesssuccess Top Word Pairs in Tweet in G5:
[49] #cx,#custserv [31] customer,service [28] #custexp,#cx [24] #custserv,#cx [17] #custexp,#custserv [16] #cctr,#custserv [16] #custserv,#cctr [15] empathy,customer [15] callcentrehelp,#cctr [14] #cx,read Top Word Pairs in Tweet in G6:
[12] #cctr,#custserv [8] contact,center [5] #custserv,#cx [5] mid,size [5] size,contact [5] center,save [5] save,gt [5] gt,400k [5] 400k,year [5] year,better Top Word Pairs in Tweet in G7:
[7] #custserv,#customerservice [4] #cctr,#contactcenter [4] #contactcenter,#custserv [4] cloud,contact [4] contact,center [4] center,provide [4] provide,high [4] high,level [4] level,service [4] service,today Top Word Pairs in Tweet in G8:
[13] frustrated,people [13] people,#onholdwith [13] more,#custserv [12] others,more [2] 14,days [2] virginmedia,partner Top Word Pairs in Tweet in G9:
[38] #customerexperience,#retail [38] #retail,#custserv [35] top,rating [35] rating,#customerexperience [13] feedback,#customerexperience [3] qld,feedback [3] #customerexperience,#food [3] #food,#custserv [3] wa,top [3] nsw,top Top Word Pairs in Tweet in G10:
[6] weekly,global [6] global,#peopleskillschat [6] explore,diverse [6] people,skills [5] katenasser,#peopleskills [5] happened,before [5] before,awakens [5] awakens,empathy [4] #leadership,#teamwork [4] #teamwork,#softskills Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: