The graph represents a network of 2,918 Twitter users whose tweets in the requested range contained "#salesforce", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 12 April 2021 at 04:21 UTC.
The requested start date was Monday, 12 April 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 9-day, 19-hour, 47-minute period from Thursday, 01 April 2021 at 16:08 UTC to Sunday, 11 April 2021 at 11:55 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 : 2918
Unique Edges : 2260
Edges With Duplicates : 11932
Total Edges : 14192
Number of Edge Types : 5
Retweet : 4377
MentionsInRetweet : 5575
Tweet : 2668
Mentions : 1442
Replies to : 130
Self-Loops : 2760
Reciprocated Vertex Pair Ratio : 0.0249118683901293
Reciprocated Edge Ratio : 0.0486127035083696
Connected Components : 359
Single-Vertex Connected Components : 271
Maximum Vertices in a Connected Component : 2361
Maximum Edges in a Connected Component : 13320
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.164737
Graph Density : 0.000512347203401957
Modularity : 0.269938
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,918 Twitter users whose tweets in the requested range contained "#salesforce", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 12 April 2021 at 04:21 UTC.
The requested start date was Monday, 12 April 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 9-day, 19-hour, 47-minute period from Thursday, 01 April 2021 at 16:08 UTC to Sunday, 11 April 2021 at 11:55 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 : #salesforce
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:
[473] interview,#vechain [473] #vechain,ceo [378] ãƒ,ム[315] #salesforce,#crm [301] ceo,sunshinelu24 [301] sunshinelu24,live [301] live,watch [301] watch,discuss [301] discuss,vechain's [300] thinkingcrypto1,interview Top Word Pairs in Tweet in G1:
[81] #salesforce,#crm [62] work,#trailhead [61] marketing,cloud [55] earned,module [55] nice,work [54] #trailhead,#trailblazer [51] learn,more [43] #trailblazer,#toptrailblazers [40] #sfdclucknow,lucknowsfgroup [39] hello,#trailblazers Top Word Pairs in Tweet in G2:
[470] interview,#vechain [470] #vechain,ceo [300] ceo,sunshinelu24 [300] sunshinelu24,live [300] live,watch [300] watch,discuss [300] discuss,vechain's [299] thinkingcrypto1,interview [299] vechain's,histo [170] wrapped,interview Top Word Pairs in Tweet in G3:
[139] #sfdclucknow,lucknowsfgroup [135] âš,âš [132] vivekgupta_,#salesforce [115] #trailblazer,#toptrailblazers [112] #salesforce,#ohana [111] #toptrailblazers,#salesforce [105] #trailhead,#trailblazer [103] work,#trailhead [91] earned,module [91] nice,work Top Word Pairs in Tweet in G4:
[127] ãƒ,ム[20] æ,æ [17] gesucht,sicher [17] sicher,bewerben [14] #sales,#salesforce [13] ç,æ [11] #mã,nchen [10] nchen,gesucht [9] #azure,#aws [9] #salesforce,administrator Top Word Pairs in Tweet in G5:
[27] #salesforce,#integration [25] #integration,automationanywh [18] #digitaltransformation,#salesforce [16] #salesforce,#digitaltransformation [15] reasons,sales [15] sales,funnels [15] funnels,still [15] still,effective [15] effective,#salesfunnel [15] #salesfunnel,#funnels Top Word Pairs in Tweet in G6:
[20] #salesforce,#salesforcepartner [19] come,see [17] #salesforce,#partnerforce [16] #partnerforce,#salesforce [15] #partnerforce,#trailblazercommunity [15] see,offer [12] looking,hire [12] hire,#salesforce [12] #salesforce,devs [12] devs,architects Top Word Pairs in Tweet in G7:
[147] #node,#salesforcecertified [137] #salesforcecertified,#nodejs [132] #nptel,#swayam [132] #swayam,#iit [132] #iit,#iisc [132] #iisc,#exams [132] #exams,#salesforceapex [132] #salesforceapex,#salesforceexam [132] #salesforceexam,#salesforceapex [131] #nodejs,#coding Top Word Pairs in Tweet in G8:
[10] #salesforce,#microsoft [10] read,more [10] ãƒ,ム[9] verb,verbtech_co [8] verbtech_co,#platforms [8] #platforms,#linkedin [8] #linkedin,#facebook [8] #facebook,#twitter [8] #twitter,#businessplatforms [8] #businessplatforms,#salesforce Top Word Pairs in Tweet in G9:
[40] descansamos,recuerdo [40] recuerdo,tengo [40] tengo,vacante [40] vacante,#salesforce [40] #salesforce,developer [40] developer,100 [40] 100,remoto [40] remoto,buen [40] buen,sueldo [23] la_de_rh,cã Top Word Pairs in Tweet in G10:
[11] #salesforce,#crm [10] vda,crm [8] change,hardest [8] hardest,thing [8] thing,#software [8] #software,10x [8] 10x,harder [8] harder,sentia [8] sentia,delivers [8] delivers,#salesforce 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 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: