The graph represents a network of 2,181 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 Sunday, 08 November 2020 at 02:04 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 : 2181
Unique Edges : 2382
Edges With Duplicates : 3555
Total Edges : 5937
Number of Edge Types : 5
Tweet : 585
Replies to : 2213
Mentions : 1508
Retweet : 486
MentionsInRetweet : 1145
Self-Loops : 630
Reciprocated Vertex Pair Ratio : 0.207547169811321
Reciprocated Edge Ratio : 0.34375
Connected Components : 132
Single-Vertex Connected Components : 71
Maximum Vertices in a Connected Component : 1885
Maximum Edges in a Connected Component : 5442
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.374766
Graph Density : 0.000686495968098129
Modularity : 0.392953
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,181 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 Sunday, 08 November 2020 at 02:04 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:
[457] full,name [378] name,email [322] please,dm [272] customer,service [259] sorry,hear [233] home,address [232] chat,soon [214] order,number [175] email,home [173] dm,full Top Word Pairs in Tweet in G1:
[457] full,name [378] name,email [322] please,dm [259] sorry,hear [233] home,address [232] chat,soon [214] order,number [175] email,home [173] dm,full [164] email,address Top Word Pairs in Tweet in G2:
[114] customer,service [45] #custserv,chat [31] #custserv,#cx [24] #cx,#custserv [23] twitter,#custserv [22] fastest,hour [22] hour,twitter [22] chat,pm [22] pm,pt [22] pt,topic 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 [42] kiyotaka_1991,easy_ [39] #yourmustread,#influencerpromotion [36] serve,humanity [36] humanity,cybersecurity Top Word Pairs in Tweet in G4:
[19] bob,evans [19] evans,restaurants [16] apply,today [15] #custserv,#customerexperience [15] host,cashier [14] #cx,#custserv [13] #customerservice,#training [13] #training,#custserv [13] #customerexperience,#callcenter [13] #callcenter,#businesssuccess Top Word Pairs in Tweet in G5:
[35] #custserv,#custexp [34] #cx,#custserv [13] #cctr,#custserv [13] customer,service [11] contact,center [11] customer,experience [11] genesys,#cx [10] customerthink,#cx [10] worldwide,crisis [10] crisis,turned Top Word Pairs in Tweet in G6:
[49] #cx,#custserv [31] customer,service [28] #custexp,#cx [24] #custserv,#cx [17] #custexp,#custserv [16] #cctr,#custserv [16] #custserv,#cctr [15] #cx,read [15] empathy,customer [15] callcentrehelp,#cctr Top Word Pairs in Tweet in G7:
[7] #custserv,#customerservice [4] cloud,contact [4] contact,center [4] center,provide [4] provide,high [4] high,level [4] level,service [4] service,today [4] today,customers [4] customers,expect 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:
[44] #customerexperience,#retail [44] #retail,#custserv [39] top,rating [39] rating,#customerexperience [15] feedback,#customerexperience [4] nsw,top [3] qld,feedback [3] #customerexperience,#food [3] #food,#custserv [3] wa,top Top Word Pairs in Tweet in G10:
[25] #custserv,#defusingangrycustomers [14] #custserv,#custexp [12] customer,service [10] advice,#custserv [9] expert,advice [7] turn,customers [7] customers,company [7] company,representatives [7] representatives,outer [7] wsj,#ecommerce Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: