The graph represents a network of 3,086 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, 24 January 2022 at 05:40 UTC.
The requested start date was Monday, 24 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 9-day, 13-hour, 18-minute period from Wednesday, 12 January 2022 at 21:22 UTC to Saturday, 22 January 2022 at 10:40 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 : 3086
Unique Edges : 4784
Edges With Duplicates : 18664
Total Edges : 23448
Number of Edge Types : 5
Retweet : 3941
MentionsInRetweet : 13938
Tweet : 3019
Mentions : 2373
Replies to : 177
Self-Loops : 3242
Reciprocated Vertex Pair Ratio : 0.0245398773006135
Reciprocated Edge Ratio : 0.0479041916167665
Connected Components : 805
Single-Vertex Connected Components : 611
Maximum Vertices in a Connected Component : 1829
Maximum Edges in a Connected Component : 21086
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.345153
Graph Density : 0.000806906497792614
Modularity : 0.285624
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,086 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, 24 January 2022 at 05:40 UTC.
The requested start date was Monday, 24 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 9-day, 13-hour, 18-minute period from Wednesday, 12 January 2022 at 21:22 UTC to Saturday, 22 January 2022 at 10:40 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:
[639] #salesforce,#crm [280] cloudely,inc [280] inc,hiring [278] apply,#cloudely [270] #cloudely,#salesforce [253] #crm,#jobs [245] chidambara09,enilev [218] chidambara09,hakomtimeseries [214] #jobs,#career [199] soql,builder Top Word Pairs in Tweet in G1:
[43] learn,more [23] marketing,cloud [23] know,more [23] #salesforce,#salesforcetraining [18] #sales,#salesforce [18] #salesforce,#salesforceuk [17] #salesforce,#crm [16] #welearnsalesforce,#salesforce [14] read,more [12] #salesforce,#trailhead Top Word Pairs in Tweet in G2:
[101] learn,try [96] #csr,#corpgov [93] #hrtech,#hr [90] #csr,#shrm [86] #hr,#hranalytics [86] #hranalytics,#corpgov [86] #corpgov,#csr [86] #shrm,#peopleanalytics [86] #peopleanalytics,#futureofwork [86] #futureofwork,#humanresources Top Word Pairs in Tweet in G3:
[245] chidambara09,enilev [217] chidambara09,hakomtimeseries [137] chidambara09,quasagroup [99] #linux,#flutter [93] #flutter,#ml [93] #ml,#100daysofcode [92] #salesforce,#python [90] #100daysofcode,#javascript [88] #python,#bigdata [88] #nodexl,#linux Top Word Pairs in Tweet in G4:
[189] soql,builder [187] first,award [187] award,going [187] going,author [187] author,stephaniemaddox [187] stephaniemaddox,blog [187] blog,soql [187] builder,generally [187] generally,available [186] salesforcedevs,first Top Word Pairs in Tweet in G5:
[120] #salesforce,#crm [115] agency_ready,salesforce [114] #crm,video [101] #salesforce,#customerrelationshipmanagement [94] #customerrelationshipmanagement,video [72] #salesforce,video [65] #salesforce,#youtuber [64] #youtuber,#nocode [63] #crm,#business [63] #business,#erp Top Word Pairs in Tweet in G6:
[12] #salesforce,#trailhead [10] link,below [7] salesforce,solutions [6] boyfriend,thinks [6] thinks,funny [6] funny,lol [6] lol,#salesforce [6] solutions,architect [6] position,open [6] open,open Top Word Pairs in Tweet in G7:
[23] coming,soon [22] question,#nfts [22] #nfts,way [22] way,#salesforce [22] #salesforce,exchange [22] exchange,ready [22] ready,launch [22] launch,#sparkplatform [22] #sparkplatform,coming [22] social,media Top Word Pairs in Tweet in G8:
[43] #trailblazer,#trailhead [33] #career,#careers [33] #careers,#job [32] #job,#advice [32] #advice,#best [32] #best,#salesforce [32] #salesforce,#ohana [32] #ohana,#trailblazer [32] #trailhead,#admin [32] #admin,#admins Top Word Pairs in Tweet in G9:
[157] #salesforce,#crm [120] #crm,#sfdc [119] #sfdc,#trailhead [118] #trailhead,#salesforcejobs [118] #salesforcejobs,#itjobs [118] #itjobs,#it [118] #it,#jobopening [118] #jobopening,#jobopportunities [118] #jobopportunities,#jobposting [118] #jobposting,#hr Top Word Pairs in Tweet in G10:
[30] know,founder [30] founder,halseyminor [30] halseyminor,founded [30] founded,unicorns [30] unicorns,#salesforce [30] #salesforce,#cnet [30] #cnet,#googlevoice [30] #googlevoice,#uphold [29] vividlabshq,know 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 G5:
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Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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: