The graph represents a network of 3,043 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, 29 November 2021 at 05:38 UTC.
The requested start date was Monday, 29 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 11-day, 3-hour, 28-minute period from Wednesday, 17 November 2021 at 07:11 UTC to Sunday, 28 November 2021 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 : 3043
Unique Edges : 3751
Edges With Duplicates : 14424
Total Edges : 18175
Number of Edge Types : 5
Replies to : 214
Tweet : 3447
Retweet : 3547
MentionsInRetweet : 8725
Mentions : 2242
Self-Loops : 3616
Reciprocated Vertex Pair Ratio : 0.0232233280949887
Reciprocated Edge Ratio : 0.0453924914675768
Connected Components : 784
Single-Vertex Connected Components : 575
Maximum Vertices in a Connected Component : 1866
Maximum Edges in a Connected Component : 15852
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.50115
Graph Density : 0.000633047727261433
Modularity : 0.29773
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,043 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, 29 November 2021 at 05:38 UTC.
The requested start date was Monday, 29 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 11-day, 3-hour, 28-minute period from Wednesday, 17 November 2021 at 07:11 UTC to Sunday, 28 November 2021 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:
[571] #salesforce,#crm [366] appexchange,salesforce [307] lightning,exchange [304] elongateog,salesforce [298] #aml,#crypto [297] coming,soon [295] salesforce,ve [294] ve,working [294] working,crypto [294] crypto,lightning Top Word Pairs in Tweet in G1:
[40] gt,gt [29] learn,more [26] #sales,#salesforce [24] #jlpga,#salesforce [23] #salesforce,#sales [23] #鈴木愛,プロ [22] #welearnsalesforce,#salesforce [22] 本日の,#鈴木愛 [19] #salesforce,#salesforcetraining [18] #salesforce,#crm Top Word Pairs in Tweet in G2:
[298] #aml,#crypto [240] #csr,#corpgov [228] #insurtech,#fintech [215] #wef,#datagovernance [211] #datagovernance,#futureofwork [207] #corpgov,#aml [207] #crypto,#finserv [207] #finserv,#wef [204] #fintech,#regtech [203] #futureofwork,#insurtech Top Word Pairs in Tweet in G3:
[277] #nptel,#swayam [277] #swayam,#iit [277] #iit,#iisc [277] #iisc,#exams [277] #exams,#salesforceapex [276] #salesforceapex,#salesforceexam [275] #salesforceexam,#salesforceapex [273] #salesforceapex,#salesforce [271] #trailhead,#certification [270] #certification,#pd1 Top Word Pairs in Tweet in G4:
[365] appexchange,salesforce [307] lightning,exchange [304] elongateog,salesforce [295] coming,soon [294] salesforce,ve [294] ve,working [294] working,crypto [294] crypto,lightning [294] exchange,coming [294] soon,appexchange Top Word Pairs in Tweet in G5:
[42] #salesforce,#crm [33] #crm,#cloud [25] #salesforce,#ohana [22] #salesforce,data [22] #backupwithdatabakup,#databackup [22] #databackup,#dataprotection [19] #salesforce,html [19] html,#email [19] #email,template [19] template,#newsletter Top Word Pairs in Tweet in G6:
[9] #aekot,#salesforce [5] salesforce,ecosystem [5] accounting,seed [4] happy,early [4] early,thanksgiving [4] thanksgiving,re [4] re,thankful [4] thankful,amazing [4] amazing,customers [4] customers,employees Top Word Pairs in Tweet in G7:
[19] customer,success [17] exciting,session [17] session,#askmeanything [17] #askmeanything,sales [17] sales,customer [17] success,manager [17] manager,abhijit [15] go,vijayawada_sfdc [14] such,great [13] abhijit,joshi Top Word Pairs in Tweet in G8:
[86] #crm,#business [84] #business,#erp [84] #erp,#marketing [82] #salesforce,video [79] #marketing,#software [75] #software,#sales [75] #sales,#b [74] customer,relationship [71] relationship,management [57] agency_ready,salesforce Top Word Pairs in Tweet in G9:
[10] #hackathonsalesforce,#hackathon [10] #hackathon,#salesforce [10] #salesforce,salesforcees [5] #webinar,dedicado [5] dedicado,sector [5] sector,bienes [5] bienes,#consumo [5] #consumo,ponencias [5] ponencias,salesforcees [5] salesforcees,#s4g Top Word Pairs in Tweet in G10:
[11] #きんようび,のアストロ [9] salesforcejapan,#きんようび [8] のアストロ,温かいドリンクでほっと一息つくのが [8] 温かいドリンクでほっと一息つくのが,気持ちいい季節になってきました [8] 気持ちいい季節になってきました,温まるのにおすすめのアイテムを [8] 温まるのにおすすめのアイテムを,ぜひアストロに教えてください [8] ぜひアストロに教えてください,#salesforce [8] yoshikiofficial,benioff [8] benioff,yoshiki [8] yoshiki,ઽᵃⁿ Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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 G7:
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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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: