The graph represents a network of 3,498 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, 07 February 2022 at 05:39 UTC.
The requested start date was Monday, 07 February 2022 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 9-day, 14-hour, 2-minute period from Tuesday, 25 January 2022 at 20:54 UTC to Friday, 04 February 2022 at 10:57 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 : 3498
Unique Edges : 4091
Edges With Duplicates : 15001
Total Edges : 19092
Number of Edge Types : 5
Retweet : 3963
MentionsInRetweet : 10016
Tweet : 2886
Mentions : 2072
Replies to : 155
Self-Loops : 3091
Reciprocated Vertex Pair Ratio : 0.0245303524297469
Reciprocated Edge Ratio : 0.0478860433399
Connected Components : 860
Single-Vertex Connected Components : 651
Maximum Vertices in a Connected Component : 2282
Maximum Edges in a Connected Component : 16967
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.504446
Graph Density : 0.000539464276575871
Modularity : 0.307155
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,498 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, 07 February 2022 at 05:39 UTC.
The requested start date was Monday, 07 February 2022 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 9-day, 14-hour, 2-minute period from Tuesday, 25 January 2022 at 20:54 UTC to Friday, 04 February 2022 at 10:57 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:
[545] #salesforce,#crm [303] cloudely,inc [303] inc,hiring [298] apply,#cloudely [285] #cloudely,#salesforce [246] #crm,#jobs [237] alcanza,twit [237] twit,todas [237] todas,vacantes [237] vacantes,#tech Top Word Pairs in Tweet in G1:
[34] learn,more [21] #salesforce,#crm [18] marketing,cloud [16] #crm,#salesforce [16] #shopify,#customerservice [16] #customerservice,#helpdesk [16] #helpdesk,#softwarecompany [15] multi,factor [15] factor,authentication [15] know,more Top Word Pairs in Tweet in G2:
[131] chidambara09,enilev [95] sonu_monika,bimedotcom [95] bimedotcom,khulood_almani [87] chidambara09,danfiehn [66] #linux,#flutter [63] #salesforce,#python [63] hey,use [63] use,#code [60] #ml,#100daysofcode [60] #100daysofcode,#javascript Top Word Pairs in Tweet in G3:
[96] #salesforce,#ohana [91] #salesforce,#crm [79] #salesforce,video [69] #crm,video [63] agency_ready,salesforce [56] badge,trailhead [51] #trailblazer,#toptrailblazers [51] #toptrailblazers,#salesforce [50] #trailblazer,#trailhead [49] #trailhead,#trailblazer Top Word Pairs in Tweet in G4:
[230] 大切なことは,ずっと変えない [228] #大谷翔平,選手出演の最新cm [228] 選手出演の最新cm,28よりスタート [228] 28よりスタート,#次の世界へ [228] #次の世界へ,大切なこと篇 [228] 大切なこと篇,大切なことは [228] ずっと変えない,#salesforce [228] #salesforce,がcmに込めた想い [228] がcmに込めた想い,そして大谷選手との共通点とは [227] salesforcejapan,#大谷翔平 Top Word Pairs in Tweet in G5:
[236] alcanza,twit [236] twit,todas [236] todas,vacantes [236] vacantes,#tech [236] #tech,tenemos [236] tenemos,todooo [236] todooo,jr [236] jr,mid [236] mid,sr [236] sr,dejo Top Word Pairs in Tweet in G6:
[303] cloudely,inc [303] inc,hiring [298] apply,#cloudely [285] #cloudely,#salesforce [266] #salesforce,#crm [245] #crm,#jobs [209] passle,timothy_hughes [187] #jobs,#career [153] gigmindshq,cloudely [150] #career,#salescloud Top Word Pairs in Tweet in G7:
[72] soql,builder [71] first,award [71] award,going [71] going,author [71] author,stephaniemaddox [71] stephaniemaddox,blog [71] blog,soql [71] builder,generally [71] generally,available [70] salesforcedevs,first Top Word Pairs in Tweet in G8:
[137] #crm,#business [137] #business,#erp [137] #erp,#marketing [130] #marketing,#software [120] #software,#sales [120] #sales,#b [103] #b,#salesforce [70] #salesforce,#digitalmarketing [65] customer,relationship [65] relationship,management Top Word Pairs in Tweet in G9:
[196] #csr,#shrm [181] #hr,#csr [162] #hrtech,#corpgov [162] #corpgov,#hr [162] #shrm,#startup [149] martinhoyes,#hrtech [119] #salesforce,#crm [114] #education,#sustainability [105] #crm,#sfdc [104] #sfdc,#trailhead Top Word Pairs in Tweet in G10:
[46] #cloudvandana,#salesforce [44] #salesforce,#salesforcepartner [38] #salesforcepartner,#salesforceconsultant [37] #salesforceconsultant,#salesforceservices [32] lwcs,flat [32] flat,rate [27] unlimited,#salesforce [27] #salesforce,lwcs [27] rate,usd [27] usd,3500 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
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 G10: