The graph represents a network of 2,498 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, 25 January 2021 at 05:14 UTC.
The requested start date was Monday, 25 January 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 8-day, 6-hour, 12-minute period from Friday, 15 January 2021 at 05:58 UTC to Saturday, 23 January 2021 at 12:11 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 : 2498
Unique Edges : 2002
Edges With Duplicates : 12023
Total Edges : 14025
Number of Edge Types : 5
MentionsInRetweet : 5388
Retweet : 4425
Mentions : 1191
Tweet : 2962
Replies to : 59
Self-Loops : 3053
Reciprocated Vertex Pair Ratio : 0.0317073170731707
Reciprocated Edge Ratio : 0.0614657210401891
Connected Components : 295
Single-Vertex Connected Components : 227
Maximum Vertices in a Connected Component : 2042
Maximum Edges in a Connected Component : 13292
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.13637
Graph Density : 0.000610340094262034
Modularity : 0.236282
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 2,498 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, 25 January 2021 at 05:14 UTC.
The requested start date was Monday, 25 January 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 8-day, 6-hour, 12-minute period from Friday, 15 January 2021 at 05:58 UTC to Saturday, 23 January 2021 at 12:11 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:
[523] #salesforce,#crm [495] #nptel,#swayam [487] #swayam,#iit [487] #iit,#iisc [481] #iisc,#exams [436] #exams,#salesforceapex [394] #salesforceapex,#salesforceexam [353] #salesforceexam,#salesforceapex [292] #salesforce,#training [284] #salesforceapex,#salesforce Top Word Pairs in Tweet in G1:
[217] #nptel,#swayam [209] #salesforce,#crm [209] #swayam,#iit [209] #iit,#iisc [203] #iisc,#exams [158] #exams,#salesforceapex [116] #salesforceapex,#salesforceexam [106] #trailhead,#certification [101] #certification,#pd1 [77] #salesforceapex,#sal Top Word Pairs in Tweet in G2:
[15] #egafutura,#salesforce [6] #salesforce,#trailhead [6] #salesforce,#セールスフォース [5] read,more [5] #salesforce,#crm [5] #sap,#salesforce [5] #salesforce,#learnsalesforce [4] learn,more [4] crm,#salesforce [4] wantedlyにて取材をしていただきました,企業の意思決定を支援するdatorama Top Word Pairs in Tweet in G3:
[70] #salesforce,#youtuber [68] #youtuber,#nocode [59] #nocode,#youtube始めました [23] badge,trailhead [20] #salesforce,#training [18] #training,#certification [17] #placement,whatsapp [16] learn,more [16] #certification,#superbadge [16] #superbadge,#placement Top Word Pairs in Tweet in G4:
[129] pankaj,namdeo [127] certification,voucher [120] sf,certification [119] win,200 [118] #impactsalesforcesaturday,win [118] 200,sf [118] voucher,speaker [118] speaker,pankaj [109] namdeo,topic [96] join,another Top Word Pairs in Tweet in G5:
[278] #nptel,#swayam [278] #swayam,#iit [278] #iit,#iisc [278] #iisc,#exams [278] #exams,#salesforceapex [278] #salesforceapex,#salesforceexam [278] #salesforceexam,#salesforceapex [278] #salesforceapex,#salesforce [263] #salesforce,#training [254] #training,#certification Top Word Pairs in Tweet in G6:
[59] #microsoft,#salesforce [52] #salesforce,#oracle [49] #microsoft,#oracle [40] #oracle,#salesforce [32] bill,gates [32] gates,pays [32] pays,scientists [32] scientists,promote [32] promote,#pandemic [32] #pandemic,gets Top Word Pairs in Tweet in G7:
[45] #startup,#startups [45] #nonprofit,#nonprofits [42] #startups,#csr [42] #csr,#hr [42] #hr,#futureofwork [42] #futureofwork,#volunteer [42] #volunteer,#nonprofit [42] #nonprofits,#sdgs [42] #sdgs,#dreamforce [32] martinhoyes,#startup Top Word Pairs in Tweet in G8:
[144] #salesforce,#crm [133] #crm,#sfdc [130] #sfdc,#trailhead [111] #trailhead,#salesforcejobs [100] #salesforcejobs,#itjobs [97] #itjobs,#it [97] #it,#jobopening [97] #jobopening,#jobopportunities [97] #jobopportunities,#jobposting [97] #jobposting,#hr Top Word Pairs in Tweet in G9:
[19] time,warp [19] warp,probably [19] #salesforce,app [19] app,never [19] never,knew [19] knew,needed [19] needed,oh [19] oh,mention [15] mention,#free [8] today,fantastic Top Word Pairs in Tweet in G10:
[19] #covid19,important [19] important,thread [19] thread,#imperial [19] #imperial,college [19] college,world [19] world,economic [19] economic,forum [19] forum,#wef [19] #wef,#salesforce [19] companies,part Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: