The graph represents a network of 3,217 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, 23 May 2022 at 04:44 UTC.
The requested start date was Monday, 23 May 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, 5-hour, 56-minute period from Tuesday, 10 May 2022 at 04:58 UTC to Sunday, 22 May 2022 at 10:54 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 : 3217
Unique Edges : 2854
Edges With Duplicates : 11173
Total Edges : 14027
Number of Edge Types : 5
Mentions : 2448
MentionsInRetweet : 5014
Retweet : 3322
Tweet : 3149
Replies to : 94
Self-Loops : 3342
Reciprocated Vertex Pair Ratio : 0.0341314314824249
Reciprocated Edge Ratio : 0.0660098522167488
Connected Components : 1021
Single-Vertex Connected Components : 744
Maximum Vertices in a Connected Component : 1680
Maximum Edges in a Connected Component : 10815
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.52028
Graph Density : 0.000392427047231978
Modularity : 0.288714
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,217 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, 23 May 2022 at 04:44 UTC.
The requested start date was Monday, 23 May 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, 5-hour, 56-minute period from Tuesday, 10 May 2022 at 04:58 UTC to Sunday, 22 May 2022 at 10:54 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:
[390] #salesforce,#crm [323] passle,timothy_hughes [314] social,selling [260] dlaignite,#socialselling [232] timothy_hughes,dlaignite [229] #socialselling,#digitalselling [207] #salesleader,#salesenablement [203] #salestips,#salesleader [193] #sales,#salestips [188] #digitalselling,#sales Top Word Pairs in Tweet in G1:
[62] learn,more [54] #crm,#cx [54] brazil,sfe [53] sfe,#brand [53] #brand,#crm [53] #cx,#digitalchannels [53] #digitalchannels,#health [53] #health,#indústriafarmacêutica [53] #indústriafarmacêutica,#marca [53] #marca,#multichannel Top Word Pairs in Tweet in G2:
[144] salesforce,appexchange [133] eg,#crypto [133] #crypto,#salesforce [131] eg,crypto [131] crypto,exchange [131] exchange,review [131] review,salesforce [131] appexchange,eg [130] elongateog,eg [57] head,link Top Word Pairs in Tweet in G3:
[54] #trailblazer,#trailhead [46] #career,#careers [46] #careers,#job [46] #job,#advice [46] #advice,#best [45] #salesforce,#ohana [42] #best,#salesforce [41] #ohana,#trailblazer [41] #trailhead,#admin [41] #admin,#admins Top Word Pairs in Tweet in G4:
[230] #salesforce,#crm [168] #insurtech,#csuite [137] #wef,#finserv [133] #healthtech,#datascientist [133] #cx,#women [133] #women,#ehealth [133] #ehealth,#ces2023 [125] #digitalhealth,#startups [125] #startups,#cx [117] #salesforce,video Top Word Pairs in Tweet in G5:
[132] arigachetta,sesha__ [113] sesha__,vijayawada_sfdc [84] vijayawada_sfdc,#askmeanything [67] #askmeanything,#trailblazercommunity [67] #trailblazercommunity,#salesforce [34] #trailblazer,#toptrailblazers [34] #toptrailblazers,#salesforce [32] #trailhead,#trailblazer [32] #salesforce,#ohana [30] work,#trailhead Top Word Pairs in Tweet in G6:
[69] looking,hire [67] hire,professionals [67] professionals,contract [67] contract,basis [67] basis,please [67] please,reach [66] badge,trailhead [64] #salesforce,#salesforcepartner [63] #cloudvandana,#salesforce [62] #salesforcepartner,#salesforceconsultant Top Word Pairs in Tweet in G7:
[17] running,end [17] end,end [17] end,tests [17] tests,#salesforce [17] #salesforce,platform [17] platform,significantly [17] significantly,easier [17] easier,ui [17] ui,test [17] test,automation Top Word Pairs in Tweet in G8:
[10] learn,more [9] #salesforce,#ai [9] #ai,introduces [9] reinforcement,learning [9] system,learns [9] learns,dynamic [9] dynamic,tax [9] tax,policies [7] increase,visibility [7] visibility,company's Top Word Pairs in Tweet in G9:
[320] passle,timothy_hughes [312] social,selling [260] dlaignite,#socialselling [232] timothy_hughes,dlaignite [229] #socialselling,#digitalselling [207] #salesleader,#salesenablement [203] #salestips,#salesleader [188] #digitalselling,#sales [188] #sales,#salestips [120] selling,qualification Top Word Pairs in Tweet in G10:
[14] gender,equality [10] join,fourth [10] fourth,annual [10] annual,gender [10] equality,summit [10] summit,trailblazing [10] trailblazing,women [10] women,17 [10] 17,2022 [10] 2022,during Top Replied-To in Entire Graph:
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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 G3:
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Top Tweeters in G5:
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Top Tweeters in G10: