The graph represents a network of 3,538 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, 15 November 2021 at 05:37 UTC.
The requested start date was Monday, 15 November 2021 at 01:01 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 10-day, 22-hour, 7-minute period from Monday, 01 November 2021 at 12:43 UTC to Friday, 12 November 2021 at 10:51 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 : 3538
Unique Edges : 3376
Edges With Duplicates : 11650
Total Edges : 15026
Number of Edge Types : 5
Retweet : 3286
MentionsInRetweet : 5859
Mentions : 2129
Tweet : 3504
Replies to : 248
Self-Loops : 3640
Reciprocated Vertex Pair Ratio : 0.026844377698517
Reciprocated Edge Ratio : 0.0522851919561243
Connected Components : 826
Single-Vertex Connected Components : 639
Maximum Vertices in a Connected Component : 2355
Maximum Edges in a Connected Component : 12734
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.57693
Graph Density : 0.000437113719729076
Modularity : 0.339794
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,538 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, 15 November 2021 at 05:37 UTC.
The requested start date was Monday, 15 November 2021 at 01:01 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 10-day, 22-hour, 7-minute period from Monday, 01 November 2021 at 12:43 UTC to Friday, 12 November 2021 at 10:51 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:
[655] #salesforce,#crm [361] wow,congratulations [361] makes,wanna [361] wanna,go [361] go,back [361] back,japan [361] japan,more [361] more,hopefully [361] hopefully,soon [361] soon,benioff Top Word Pairs in Tweet in G1:
[100] #salesforce,#crm [70] ãƒ,ム[70] #salescloud,#servicecloud [69] hiring,gigminds [69] #gigminds,#salesforce [69] #crm,#jobs [69] #jobs,#gigs [69] #gigs,#salescloud [69] #servicecloud,#sfdc [36] learn,more Top Word Pairs in Tweet in G2:
[494] #salesforce,#crm [256] #sfdc,#trailhead [256] #crm,#sfdc [255] #trailhead,#salesforcejobs [252] #salesforcejobs,#itjobs [252] #itjobs,#it [252] #it,#jobopening [252] #jobopening,#jobopportunities [252] #jobopportunities,#jobposting [252] #jobposting,#hr Top Word Pairs in Tweet in G3:
[361] wow,congratulations [361] makes,wanna [361] wanna,go [361] go,back [361] back,japan [361] japan,more [361] more,hopefully [361] hopefully,soon [361] soon,benioff [361] benioff,#yoshiki Top Word Pairs in Tweet in G4:
[65] #ces2022,#nodexl [65] #nodexl,#linkedin [65] #linkedin,#salesforce [63] #twitter,#ces2022 [55] #bigdata,#twitter [38] united,states [29] chidambara09,enilev [26] top,10 [23] #salesforce,#crm [22] jobssie_com,salesforce Top Word Pairs in Tweet in G5:
[36] lisk,delivers [36] delivers,accessible [36] accessible,software [36] software,kit [36] kit,allows [36] allows,anyone [36] anyone,participate [36] participate,blockchain [36] blockchain,tech [36] tech,revolution Top Word Pairs in Tweet in G6:
[77] #elongate,#elongate4charity [74] let's,change [74] world,crypto [70] change,world [70] #elongate4charity,#elongatefamily [70] elongate,let's [69] crypto,#elongate [62] #elongatefamily,#cryptoforacause [50] #elongate,#salesforce [42] crypto,charity Top Word Pairs in Tweet in G7:
[100] talent,good [100] good,year [100] year,salesforce [100] salesforce,apprenticeship [100] apprenticeship,train [100] train,free [100] free,start [100] start,career [100] career,sf [100] sf,consultant Top Word Pairs in Tweet in G8:
[120] #crm,#business [118] #business,#erp [118] #erp,#marketing [105] #marketing,#software [103] ãƒ,ム[100] #software,#sales [85] customer,relationship [81] #salesforce,#salesforcepartner [80] #cloudvandana,#salesforce [79] relationship,management Top Word Pairs in Tweet in G9:
[7] one,largest [7] revenue,cloud [6] re,welcoming [6] welcoming,standavcorp [6] standavcorp,family [6] family,brillio [6] brillio,become [6] become,one [6] largest,#salesforce [6] #salesforce,revenue Top Word Pairs in Tweet in G10:
[8] #docusign,#salesforce [6] join,virtual [5] wow,#docusign [5] #salesforce,community [5] community,nominated [5] nominated,cmx [5] cmx,industry [5] industry,award [5] award,best [5] best,community Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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: