The graph represents a network of 3,353 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, 01 November 2021 at 04:40 UTC.
The requested start date was Monday, 01 November 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, 6-hour, 2-minute period from Tuesday, 19 October 2021 at 04:30 UTC to Sunday, 31 October 2021 at 10:33 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 : 3353
Unique Edges : 2715
Edges With Duplicates : 10582
Total Edges : 13297
Number of Edge Types : 5
Tweet : 3531
Retweet : 3334
MentionsInRetweet : 4613
Mentions : 1636
Replies to : 183
Self-Loops : 3675
Reciprocated Vertex Pair Ratio : 0.0280397022332506
Reciprocated Edge Ratio : 0.0545498431088583
Connected Components : 913
Single-Vertex Connected Components : 662
Maximum Vertices in a Connected Component : 1891
Maximum Edges in a Connected Component : 10255
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.009745
Graph Density : 0.000368618705722158
Modularity : 0.305699
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,353 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, 01 November 2021 at 04:40 UTC.
The requested start date was Monday, 01 November 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, 6-hour, 2-minute period from Tuesday, 19 October 2021 at 04:30 UTC to Sunday, 31 October 2021 at 10:33 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:
[375] #salesforce,#crm [321] #aml,#crypto [256] martinhoyes,#csr [228] #csr,#corpgov [215] #insurtech,#fintech [188] #wef,#datagovernance [184] #startup,#startups [183] #corpgov,#aml [183] #crypto,#finserv [183] #finserv,#wef Top Word Pairs in Tweet in G1:
[58] fastest,growing [43] learn,more [30] know,more [30] jumps,20 [30] best,global [30] global,brands [29] #salesforce,jumps [29] 20,spots [29] spots,#38 [29] #38,interbrand's Top Word Pairs in Tweet in G2:
[181] appexchange,salesforce [178] bringing,#crypto [178] #crypto,appexchange [178] salesforce,saving [178] saving,world [178] world,native [178] native,crypto [178] crypto,swaps [177] elongateog,bringing [177] swaps,pipe Top Word Pairs in Tweet in G3:
[314] #aml,#crypto [251] martinhoyes,#csr [222] #csr,#corpgov [209] #insurtech,#fintech [184] #startup,#startups [183] #wef,#datagovernance [178] #corpgov,#aml [178] #crypto,#finserv [178] #finserv,#wef [175] #datagovernance,#futureofwork Top Word Pairs in Tweet in G4:
[36] #salesforce,flows [36] 000,students [35] celebrate,000 [35] students,#salesforce [35] flows,udemy [35] udemy,course [35] course,giving [35] giving,away [35] away,vouchers [35] vouchers,free Top Word Pairs in Tweet in G5:
[114] deloitte,hosting [114] hosting,another [114] another,free [114] free,salesforce [114] salesforce,consulting [114] consulting,bootcamp [114] bootcamp,program [114] program,recruiting [114] recruiting,event [113] teneikaask_you,deloitte Top Word Pairs in Tweet in G6:
[75] #crm,#business [72] #business,#erp [72] #erp,#marketing [69] #marketing,#software [63] #software,#sales [63] #sales,#b [49] #b,#salesforce [44] #salesforce,#crm [40] #crm,#cloud [38] customer,relationship Top Word Pairs in Tweet in G7:
[12] #microsoft,#salesforce [12] #salesforce,zelros [12] zelros,doing [12] doing,strategic [12] strategic,partnership [12] partnership,#guidewire [12] #guidewire,#insurtech [12] #insurtech,damienphilippon [12] keysight,launches [12] launches,live Top Word Pairs in Tweet in G8:
[59] #salesforce,#crm [56] #crm,#sfdc [52] #sfdc,#trailhead [49] #trailhead,#salesforcejobs [49] #salesforcejobs,#itjobs [49] #itjobs,#it [49] #it,#jobopening [49] #jobopening,#jobopportunities [49] #jobopportunities,#jobposting [49] #jobposting,#hr Top Word Pairs in Tweet in G9:
[31] marc,benioff [24] ceo,founder [23] january,2021 [23] 2021,time [23] time,double [23] double,issue [23] issue,#vaccine [23] #vaccine,#revolution [23] #revolution,arrived [23] arrived,time Top Word Pairs in Tweet in G10:
[57] #technology,#salesforce [56] stay,tuned [55] #comics,#comicstrip [51] #comicstrip,#technology [46] #art,#comics [44] tuned,more [31] more,#art [24] #salesforce,data [20] everyday,heroes [17] #art,#artistontwitter 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 G6:
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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 G6:
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Top Mentioned in G9:
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 G8:
Top Tweeters in G9:
Top Tweeters in G10: