The graph represents a network of 3,004 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, 28 March 2022 at 04:37 UTC.
The requested start date was Monday, 28 March 2022 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, 17-hour, 35-minute period from Monday, 14 March 2022 at 16:54 UTC to Sunday, 27 March 2022 at 10:30 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 : 3004
Unique Edges : 3275
Edges With Duplicates : 12645
Total Edges : 15920
Number of Edge Types : 5
Retweet : 3269
MentionsInRetweet : 6658
Tweet : 3376
Mentions : 2464
Replies to : 153
Self-Loops : 3680
Reciprocated Vertex Pair Ratio : 0.0391803647827066
Reciprocated Edge Ratio : 0.0754062838569881
Connected Components : 952
Single-Vertex Connected Components : 687
Maximum Vertices in a Connected Component : 1427
Maximum Edges in a Connected Component : 12734
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.569301
Graph Density : 0.000511583401064094
Modularity : 0.264997
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,004 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, 28 March 2022 at 04:37 UTC.
The requested start date was Monday, 28 March 2022 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, 17-hour, 35-minute period from Monday, 14 March 2022 at 16:54 UTC to Sunday, 27 March 2022 at 10:30 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:
[531] #salesforce,#crm [353] #corpgov,#csr [287] passle,timothy_hughes [259] #csr,#hr [250] #csuite,#corpgov [245] #wef,#hranalytics [245] #hranalytics,#salesforce [242] #crm,#sfdc [241] #hr,#wef [231] #sfdc,#trailhead Top Word Pairs in Tweet in G1:
[69] brazil,sfe [69] sfe,#brand [69] #brand,#crm [69] #crm,#cx [69] #cx,#digitalchannels [69] #digitalchannels,#health [69] #health,#indústriafarmacêutica [69] #indústriafarmacêutica,#marca [69] #marca,#multichannel [69] #multichannel,#patientjourney Top Word Pairs in Tweet in G2:
[189] #datascientist,#cloud [189] #women,#ehealth [189] #ehealth,#ces2023 [189] #ces2023,#finserv [185] #cx,#women [146] #finserv,#fashiontech [141] #des2022,#himss22 [137] #himss22,#cx [121] #socialselling,#digitalselling [119] dlaignite,#socialselling Top Word Pairs in Tweet in G3:
[60] #trailblazer,#trailhead [56] #career,#careers [56] #careers,#job [56] #job,#advice [56] #advice,#best [53] #best,#salesforce [51] #salesforce,#ohana [49] #ohana,#trailblazer [47] #trailhead,#admin [47] #admin,#admins Top Word Pairs in Tweet in G4:
[29] partnerforce,salesforcenews [25] #salesforce,#crm [23] head,link [23] salesforcenews,salesforceorg [23] #crm,#cloud [21] simple,solution [19] salesforce,#salesforce [17] lightning,web [16] web,component [16] add,icon Top Word Pairs in Tweet in G5:
[61] stay,tuned [60] tuned,more [58] #technology,#salesforce [50] #art,#comics [50] #comics,#comicstrip [50] #comicstrip,#technology [46] more,#art [44] #salesforce,#funtimes [44] #funtimes,#awesomedays [15] friday,friendly Top Word Pairs in Tweet in G6:
[184] passle,timothy_hughes [81] dlaignite,#socialselling [78] #socialselling,#digitalselling [77] timothy_hughes,dlaignite [65] social,selling [62] #salestips,#salesleader [49] #salesleader,#salesenablement [41] #sales,#salestips [33] sales,leader [33] leader,need Top Word Pairs in Tweet in G7:
[15] #salesforce,system [10] data,#salesforce [10] robust,#databackup [10] #salesforce,data [10] #distributormanagement,#crm [10] #crm,#ai [9] archive,legacy [9] #connectwithdataconnectiva,#dataarchiving [9] #infographic,future [9] future,supply Top Word Pairs in Tweet in G8:
[301] #corpgov,#csr [213] #csr,#hr [204] #csuite,#corpgov [199] #hranalytics,#salesforce [199] #wef,#hranalytics [195] #hr,#wef [166] martinhoyes,#csuite [149] #hranalytics,#corpgov [134] #salesforce,#recruitment [134] #recruitment,#leadership Top Word Pairs in Tweet in G9:
[131] #salesforce,#crm [119] #crm,video [119] agency_ready,salesforce [107] #salesforce,#customerrelationshipmanagement [94] #customerrelationshipmanagement,video [84] #salesforce,video [42] #customerrelationshipmanagement,#salesforce [37] marketing,cloud [36] demo,#salesforce [32] salesforce,crm Top Word Pairs in Tweet in G10:
[8] huge,shout [8] shout,kierenjameson [8] kierenjameson,blancavleon [8] blancavleon,mellycodes [8] mellycodes,showing [8] showing,giving [8] giving,give [8] give,radwomencode [7] icloudsf,huge [5] salesforce,surveys Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: