The graph represents a network of 3,311 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, 13 September 2021 at 04:41 UTC.
The requested start date was Monday, 13 September 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 13-day, 10-hour, 16-minute period from Monday, 30 August 2021 at 00:21 UTC to Sunday, 12 September 2021 at 10:38 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 : 3311
Unique Edges : 1910
Edges With Duplicates : 9157
Total Edges : 11067
Number of Edge Types : 5
Retweet : 2849
MentionsInRetweet : 3189
Tweet : 3690
Mentions : 1236
Replies to : 103
Self-Loops : 3851
Reciprocated Vertex Pair Ratio : 0.0233236151603499
Reciprocated Edge Ratio : 0.0455840455840456
Connected Components : 985
Single-Vertex Connected Components : 717
Maximum Vertices in a Connected Component : 1503
Maximum Edges in a Connected Component : 7315
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.146485
Graph Density : 0.000288245443869697
Modularity : 0.30544
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 3,311 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, 13 September 2021 at 04:41 UTC.
The requested start date was Monday, 13 September 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 13-day, 10-hour, 16-minute period from Monday, 30 August 2021 at 00:21 UTC to Sunday, 12 September 2021 at 10:38 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:
[461] ãƒ,ム[413] #salesforce,#crm [191] #training,#certification [185] #salesforce,#training [181] #certification,#placement [180] #nptel,#swayam [180] #swayam,#iit [180] #iit,#iisc [180] #iisc,#exams [180] #exams,#salesforceapex Top Word Pairs in Tweet in G1:
[201] ãƒ,ム[55] #salesforce,#crm [45] #エンジニア,#javaエンジニア [41] #javaエンジニア,#salesforce [41] #salesforce,#エンジニア転職 [36] learn,more [32] #ã,ム[29] hiring,gigminds [29] #gigminds,#salesforce [29] #crm,#jobs Top Word Pairs in Tweet in G2:
[211] #salesforce,#crm [184] #training,#certification [180] #nptel,#swayam [180] #swayam,#iit [180] #iit,#iisc [180] #iisc,#exams [180] #exams,#salesforceapex [177] #salesforceapex,#salesforceexam [177] #salesforceexam,#salesforceapex [177] #salesforceapex,#salesforce Top Word Pairs in Tweet in G3:
[17] hey,guys [14] check,latest [13] #salesforce,salesforce [13] latest,#blog [12] salesforce,#salesforce [12] guys,check [12] #salesforce,wedgecommerce [12] wedgecommerce,salesforceadmns [11] #aekot,#salesforce [10] #salesforce,#crm Top Word Pairs in Tweet in G4:
[160] flash,entreprise [160] entreprise,américaine [160] américaine,#salesforce [160] #salesforce,offre [160] offre,aide [160] aide,ses [160] ses,employés [160] employés,souhaitent [160] souhaitent,quitter [160] quitter,#texas Top Word Pairs in Tweet in G5:
[71] #quebec,#vaccinepassport [71] #vaccinepassport,qr [71] qr,code [71] code,begins [71] begins,shc [71] shc,shc [71] shc,acronym [71] acronym,smart [71] smart,health [71] health,cards Top Word Pairs in Tweet in G6:
[69] #salesforce,#dreamforce [67] #hr,#csr [59] #hrtech,#peopleanalytics [57] #learning,#shrm [54] #peopleanalytics,#deib [53] #atd,#learning [52] #startups,#ai [52] #futureofwork,#hrtech [52] #startup,#startups [52] #hrtech,#futureofwork Top Word Pairs in Tweet in G7:
[99] #salesforce,#crm [85] #crm,#sfdc [85] #sfdc,#trailhead [85] #trailhead,#salesforcejobs [84] #salesforcejobs,#itjobs [84] #itjobs,#it [84] #it,#jobopening [84] #jobopening,#jobopportunities [84] #jobopportunities,#jobposting [84] #jobposting,#hr Top Word Pairs in Tweet in G8:
[17] #salesforce,ecosystem [13] #salesforce,devs [13] devs,looking [13] looking,make [13] make,moves [13] moves,amazing [13] amazing,company [13] company,awesome [13] awesome,coworkers [13] coworkers,utilizing Top Word Pairs in Tweet in G9:
[36] #salesforce,offers [36] offers,relocate [36] relocate,employees [36] employees,families [36] families,draconian [36] draconian,#texas [36] #texas,#abortionlaw [36] #abortionlaw,goes [36] goes,effect [35] liberte_ny,#salesforce Top Word Pairs in Tweet in G10:
[63] #southafrica,#sales [53] #sales,#salesforce [41] #salesforce,#digitalmarketing [41] see,offer [38] come,see [37] #salesforce,#salesforcepartner [34] #digitalmarketing,#marketing [32] #partnerforce,#trailblazercommunity [29] #marketing,#advertising [29] #salesforcepartner,#partnerforce Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G10: