The graph represents a network of 2,882 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, 17 January 2022 at 05:43 UTC.
The requested start date was Monday, 17 January 2022 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, 23-hour, 20-minute period from Wednesday, 05 January 2022 at 11:22 UTC to Sunday, 16 January 2022 at 10:42 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 : 2882
Unique Edges : 2918
Edges With Duplicates : 12128
Total Edges : 15046
Number of Edge Types : 5
Retweet : 3513
MentionsInRetweet : 6240
Tweet : 3494
Replies to : 132
Mentions : 1667
Self-Loops : 3678
Reciprocated Vertex Pair Ratio : 0.0202998846597463
Reciprocated Edge Ratio : 0.0397919963825458
Connected Components : 838
Single-Vertex Connected Components : 611
Maximum Vertices in a Connected Component : 1578
Maximum Edges in a Connected Component : 12514
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.667976
Graph Density : 0.000532696329851156
Modularity : 0.283926
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,882 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, 17 January 2022 at 05:43 UTC.
The requested start date was Monday, 17 January 2022 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, 23-hour, 20-minute period from Wednesday, 05 January 2022 at 11:22 UTC to Sunday, 16 January 2022 at 10:42 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:
[975] #salesforce,#crm [545] cloudely,inc [545] inc,hiring [541] apply,#cloudely [526] #cloudely,#salesforce [475] #crm,#jobs [390] #jobs,#career [302] #salescloud,#servicecloud [301] #career,#salescloud [299] #servicecloud,#sfdc Top Word Pairs in Tweet in G1:
[48] learn,more [29] growing,businesses [25] #salesforce,#salesforcetraining [22] best,practices [22] #salesforce,#trailhead [21] service,cloud [20] marketing,cloud [19] #welearnsalesforce,#salesforce [18] #salesforcetraining,#salesforcecertified [17] #salesforce,#business Top Word Pairs in Tweet in G2:
[187] #salesforce,#crm [168] #csr,#corpgov [151] #salesforce,#customerrelationshipmanagement [148] learn,try [144] #hrtech,#hr [141] #aml,#crypto [140] #corpgov,#aml [140] #crypto,#finserv [140] #finserv,#wef [140] #wef,#datagovernance Top Word Pairs in Tweet in G3:
[90] chidambara09,enilev [62] nodexl,thx [49] salesforce,part [48] push,fast [47] join,mission [47] mission,become [47] become,part [36] enilev,mom [36] #100daysofsalesforce,youtube [35] curieuxexplorer,nicochan33 Top Word Pairs in Tweet in G4:
[76] stay,tuned [75] tuned,more [65] #trailhead,#certification [65] #certification,#pd1 [59] #pd1,#journey2salesforce [59] #technology,#salesforce [57] #salesforce,#crm [57] #nptel,#swayam [57] #swayam,#iit [57] #iit,#iisc Top Word Pairs in Tweet in G5:
[63] #salesforce,#youtuber [61] #youtuber,#nocode [59] #career,#careers [59] #careers,#job [59] #trailblazer,#trailhead [56] #job,#advice [55] #advice,#best [55] #nocode,#youtube始めました [52] #best,#salesforce [50] #salesforce,#ohana Top Word Pairs in Tweet in G6:
[75] shadow,dom [75] dom,illustrated [75] illustrated,thread [75] thread,#javascript [75] #javascript,#salesforce [74] rajasneha_dev,shadow [2] studying,#salesforce [2] #salesforce,advanced [2] advanced,admin [2] admin,certification Top Word Pairs in Tweet in G7:
[545] cloudely,inc [545] inc,hiring [541] apply,#cloudely [526] #cloudely,#salesforce [518] #salesforce,#crm [475] #crm,#jobs [389] #jobs,#career [301] #career,#salescloud [299] #salescloud,#servicecloud [299] #servicecloud,#sfdc Top Word Pairs in Tweet in G8:
[12] back,work [8] #salesforce,#pardot [6] net,zero [6] #147,back [6] work,back [6] work,adam [6] adam,#salesforce [6] #salesforce,#agilecloudscomic [6] #agilecloudscomic,#sundaymorning [5] need,send Top Word Pairs in Tweet in G9:
[44] #elongate,utility [37] utility,#eg [37] #eg,release [24] more,#elongate [22] lightning,exchange [22] picked,more [21] exchange,#salesforce [16] #elongate,#salesforce [15] social,media [13] release,#salesforce Top Word Pairs in Tweet in G10:
[177] #salesforce,#crm [172] #crm,#sfdc [167] #sfdc,#trailhead [161] #trailhead,#salesforcejobs [161] #salesforcejobs,#itjobs [160] #itjobs,#it [160] #it,#jobopening [160] #jobopening,#jobopportunities [160] #jobopportunities,#jobposting [160] #jobposting,#hr Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: