The graph represents a network of 2,606 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, 16 November 2020 at 05:15 UTC.
The requested start date was Monday, 16 November 2020 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, 9-hour, 17-minute period from Monday, 02 November 2020 at 21:04 UTC to Friday, 13 November 2020 at 06:21 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 : 2606
Unique Edges : 2113
Edges With Duplicates : 11645
Total Edges : 13758
Number of Edge Types : 5
Retweet : 4190
MentionsInRetweet : 5293
Tweet : 2638
Replies to : 80
Mentions : 1557
Self-Loops : 2734
Reciprocated Vertex Pair Ratio : 0.0209918656520598
Reciprocated Edge Ratio : 0.0411205345669494
Connected Components : 287
Single-Vertex Connected Components : 228
Maximum Vertices in a Connected Component : 2219
Maximum Edges in a Connected Component : 13191
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.059658
Graph Density : 0.000573164246688949
Modularity : 0.238414
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,606 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, 16 November 2020 at 05:15 UTC.
The requested start date was Monday, 16 November 2020 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, 9-hour, 17-minute period from Monday, 02 November 2020 at 21:04 UTC to Friday, 13 November 2020 at 06:21 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:
[417] ãƒ,ム[186] #salesforce,salesforce [138] lt,lt [100] work,#trailhead [100] #trailhead,#trailblazer [94] #sales,#salesforce [93] #entrepreneur,#startup [90] #startup,#startupindia [89] know,more [88] learn,more Top Word Pairs in Tweet in G1:
[100] work,#trailhead [94] #trailhead,#trailblazer [82] #trailblazer,#toptrailblazers [81] earned,module [81] nice,work [76] #salesforce,#ohana [71] #toptrailblazers,#salesforce [53] learn,more [53] #salesforce,salesforce [52] jennifer,lee Top Word Pairs in Tweet in G2:
[35] thank,very [33] winning,amazing [33] amazing,#trailblazercommunity [33] #trailblazercommunity,swags [33] swags,vijayawada_sfdc [33] vijayawada_sfdc,thank [32] #summer20,coming [29] #salesforce,#trailblazercommunity [29] #trailblazercommunity,salesforceadmns [28] appexchange,salesforcedevs Top Word Pairs in Tweet in G3:
[43] ãƒ,ム[20] #egafutura,#salesforce [11] ega,futura [7] #crm,#salesforce [7] read,more [7] ##sfdc,##salesforce [7] ##salesforce,##crm [7] ##crm,##binfo [6] more,#salesforce [6] #salesforce,#crm Top Word Pairs in Tweet in G4:
[124] #salesforce,salesforce [21] read,more [21] salesforce,developer [20] developer,podcast [20] podcast,#salesforce [19] #salesforce,#crm [19] salesforce,partnerforce [19] salesforce,#salesforce [17] lightning,web [17] #salesforce,#training Top Word Pairs in Tweet in G5:
[102] lt,lt [29] #sales,#sale [28] lt,click [28] click,lt [27] #sale,#promotions [25] know,more [23] lt,#sales [20] add,cart [19] 11,november [19] november,deals Top Word Pairs in Tweet in G6:
[16] salary,survey [10] low,code [9] hands,low [9] code,application [9] application,development [9] development,#salesforce [9] salesforce,salary [9] bsnscnslt,habenaim [8] #salesforce,#trailblazercommunity [8] salesforceben,salesforce Top Word Pairs in Tweet in G7:
[268] ãƒ,ム[79] #salesforce,#youtuber [59] #youtuber,#nocode [47] salesforce,セールスフォース [35] ãƒ,ç [27] #nocode,#youtube始めました [26] ðÿž,#salesforce [25] ãƒ,ãƒÿム[24] #ã,ム[21] salesforce,ムTop Word Pairs in Tweet in G8:
[34] #salesforcedaily,daily [34] daily,tip [25] category,salesforce [23] jollypaarth,#salesforcedaily [21] submit,#salesforce [13] #salesforce,tip [11] tip,akash_sfdc [11] akash_sfdc,pritamsfdc [11] pritamsfdc,vipulgoel19 [11] vipulgoel19,follow Top Word Pairs in Tweet in G9:
[20] crm,science [19] #salesforce,#digitaltransformation [18] #digitaltransformation,#awesomeadmin [18] #awesomeadmin,feel [16] feel,free [14] #fintech,#nptech [13] free,ask [13] ask,questions [13] questions,salesforce [13] âž,#sfdc Top Word Pairs in Tweet in G10:
[34] #hrtech,#hr [34] #csr,#futureofwork [32] #hr,#csr [32] #futureofwork,#hranalytics [32] #hranalytics,#peopleanalytics [30] #peopleanalytics,#employeeexperience [30] #employeeexperience,#shrm [30] #shrm,#atd [27] #erp,#diversity [26] ãƒ,ムTop Replied-To in Entire Graph:
Top Replied-To in G1:
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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 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 G10: