The graph represents a network of 3,413 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 Wednesday, 09 June 2021 at 04:41 UTC.
The requested start date was Monday, 07 June 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 12-day, 8-hour, 10-minute period from Tuesday, 25 May 2021 at 15:30 UTC to Sunday, 06 June 2021 at 23:40 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 : 3413
Unique Edges : 2614
Edges With Duplicates : 10120
Total Edges : 12734
Number of Edge Types : 5
Tweet : 3529
Retweet : 3215
MentionsInRetweet : 4063
Mentions : 1827
Replies to : 100
Self-Loops : 3697
Reciprocated Vertex Pair Ratio : 0.0407088122605364
Reciprocated Edge Ratio : 0.0782328578002761
Connected Components : 1016
Single-Vertex Connected Components : 754
Maximum Vertices in a Connected Component : 1887
Maximum Edges in a Connected Component : 9727
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.893238
Graph Density : 0.000373202385609948
Modularity : 0.324003
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,413 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 Wednesday, 09 June 2021 at 04:41 UTC.
The requested start date was Monday, 07 June 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 12-day, 8-hour, 10-minute period from Tuesday, 25 May 2021 at 15:30 UTC to Sunday, 06 June 2021 at 23:40 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:
[423] ãƒ,ム[298] #salesforce,#crm [286] #giftideas,#fashioninasta [275] #etsy,#salesforce [272] #earth,#etsy [271] #couplegoals,#promise [268] #selfcare,#earth [264] etsy,shop [255] #salesforce,#staysafe [251] #fashioninasta,#fashionblogger Top Word Pairs in Tweet in G1:
[192] ãƒ,ム[63] #salesforce,#crm [40] #salescloud,#servicecloud [38] hiring,gigminds [38] #gigminds,#salesforce [38] #crm,#jobs [38] #jobs,#gigs [38] #gigs,#salescloud [38] #servicecloud,#sfdc [36] learn,more Top Word Pairs in Tweet in G2:
[37] head,blog [37] #salesforce,#salesforcepartner [24] #salesforce,#partnerforce [23] learn,more [20] #cloud,#technology [19] #salesforcepartner,#partnerforce [18] salesforce,try [17] salesforce,#salesforce [17] #salesforce,#crm [17] see,offer Top Word Pairs in Tweet in G3:
[78] #savelives,campaign [74] join,#savelives [62] salesforce,community [49] namma,bengaluru [48] wanna,know [45] come,forward [43] bengaluru,come [43] forward,join [43] campaign,#trailbalzercommunity [43] #trailbalzercommunity,#salesforce Top Word Pairs in Tweet in G4:
[167] #security,using [167] using,#salesforce [146] #cloudsecurity,#appsec [146] #appsec,#cybersecurity [146] #cybersecurity,#datascience [146] #datascience,#javascript [123] #salesforce,#appscan [123] #appscan,#cloudsecurity [114] #nptel,#swayam [114] #swayam,#iit Top Word Pairs in Tweet in G5:
[63] crm,vht [60] vht,blk [58] blk,stt [54] stt,jpm [52] jpm,bk [41] bk,bac [41] bac,ntrs [41] ntrs,nbim [41] nbim,ms [39] ms,wfc Top Word Pairs in Tweet in G6:
[171] live,japan [160] #salesforce,live [160] japan,スペシャルライブで [160] スペシャルライブで,#generations [160] #generations,が登場します [160] が登場します,#exile [160] #exile,hiroさん [160] hiroさん,#exile [160] #exile,tetsuyaさんのお話も必見です [160] tetsuyaさんのお話も必見です,#salesforcelive Top Word Pairs in Tweet in G7:
[37] badge,trailhead [26] trailhead,#salesforce [20] lwc,stack [14] #salesforce,#trailhead [14] stack,series [13] #salesforce,#salesforceadmin [13] #salesforceadmin,#salesforcepro [13] #salesforcepro,#trailhead [13] #trailhead,#trailheadranger [13] #trailheadranger,#blazeyourtrail Top Word Pairs in Tweet in G8:
[34] #salesforce,#crm [34] #crm,#sfdc [29] #sfdc,#trailhead [27] #peopleanalytics,#hrtech [26] #trailhead,#salesforcejobs [26] #salesforcejobs,#itjobs [26] #itjobs,#it [26] #it,#jobopening [26] #jobopening,#jobopportunities [26] #jobopportunities,#jobposting Top Word Pairs in Tweet in G9:
[15] impact,system [15] system,debug [13] blogged,impact [13] debug,#salesforce [13] #salesforce,#salesforcedevs [13] #salesforcedevs,#apex [12] bob_buzzard,blogged [10] #salesforce,backup [10] recovery,capabilities [10] #databackup,#datamanagement Top Word Pairs in Tweet in G10:
[9] much,easier [8] #businesscontinuity,#marketing [8] modern,advances [8] advances,ai [8] ai,machine [8] machine,learning [8] learning,made [8] made,much [8] easier,automate [8] automate,#salesforce Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: