The graph represents a network of 3,454 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, 31 January 2022 at 05:41 UTC.
The requested start date was Monday, 31 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, 2-hour, 46-minute period from Wednesday, 19 January 2022 at 08:05 UTC to Saturday, 29 January 2022 at 10:51 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 : 3454
Unique Edges : 5105
Edges With Duplicates : 17513
Total Edges : 22618
Number of Edge Types : 5
Mentions : 2558
Retweet : 4053
MentionsInRetweet : 13009
Tweet : 2802
Replies to : 196
Self-Loops : 3012
Reciprocated Vertex Pair Ratio : 0.0228571428571429
Reciprocated Edge Ratio : 0.0446927374301676
Connected Components : 830
Single-Vertex Connected Components : 625
Maximum Vertices in a Connected Component : 2231
Maximum Edges in a Connected Component : 20432
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.772615
Graph Density : 0.000675377570019172
Modularity : 0.308169
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,454 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, 31 January 2022 at 05:41 UTC.
The requested start date was Monday, 31 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, 2-hour, 46-minute period from Wednesday, 19 January 2022 at 08:05 UTC to Saturday, 29 January 2022 at 10:51 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:
[306] #salesforce,#crm [256] soql,builder [255] first,award [255] award,going [255] going,author [255] author,stephaniemaddox [255] stephaniemaddox,blog [255] blog,soql [255] builder,generally [255] generally,available Top Word Pairs in Tweet in G1:
[71] #salesforce,#youtuber [70] #youtuber,#nocode [65] #nocode,#youtube始めました [61] badge,trailhead [55] join,#jadeglobal [55] #jadeglobal,#webinar [55] #webinar,#speaker [55] #speaker,rajaraman [55] rajaraman,anandha [55] anandha,krishnan Top Word Pairs in Tweet in G2:
[34] learn,more [27] marketing,cloud [24] #salesforce,#salesforceuk [22] #sales,#salesforce [16] know,more [16] #salesforce,#adobe [15] #salesforce,#digitaltransformation [14] read,more [13] #pardot,#salesforce [13] #salesforce,#retail Top Word Pairs in Tweet in G3:
[199] chidambara09,enilev [165] chidambara09,hakomtimeseries [106] #linux,#flutter [98] #ml,#100daysofcode [98] #100daysofcode,#javascript [97] #flutter,#ml [95] #nodexl,#linux [94] #tech4good,#nodexl [93] #salesforce,#python [87] #python,#bigdata Top Word Pairs in Tweet in G4:
[226] 大切なことは,ずっと変えない [224] #大谷翔平,選手出演の最新cm [224] 選手出演の最新cm,28よりスタート [224] 28よりスタート,#次の世界へ [224] #次の世界へ,大切なこと篇 [224] 大切なこと篇,大切なことは [224] ずっと変えない,#salesforce [224] #salesforce,がcmに込めた想い [224] がcmに込めた想い,そして大谷選手との共通点とは [223] salesforcejapan,#大谷翔平 Top Word Pairs in Tweet in G5:
[248] soql,builder [247] first,award [247] award,going [247] going,author [247] author,stephaniemaddox [247] stephaniemaddox,blog [247] blog,soql [247] builder,generally [247] generally,available [246] salesforcedevs,first Top Word Pairs in Tweet in G6:
[143] #crm,#business [143] #business,#erp [143] #erp,#marketing [135] #marketing,#software [130] #software,#sales [130] #sales,#b [116] #b,#salesforce [88] #salesforce,#digitalmarketing [70] #digitalmarketing,#technology [59] crmtruevalue,#crm Top Word Pairs in Tweet in G7:
[81] #salesforce,#crm [77] #crm,#sfdc [75] #sfdc,#trailhead [75] #community,#education [75] #education,#sustainability [75] #sustainability,#nonprofits [72] learn,try [70] #trailhead,#salesforcejobs [70] #salesforcejobs,#itjobs [70] #itjobs,#it Top Word Pairs in Tweet in G8:
[33] #salesforce,#crm [28] #salesforceapex,#salesforceexam [28] #salesforceexam,#salesforceapex [25] #trailhead,#certification [25] #certification,#pd1 [25] #pd1,#journey2salesforce [25] #nptel,#swayam [25] #swayam,#iit [25] #iit,#iisc [25] #iisc,#exams Top Word Pairs in Tweet in G9:
[22] #salesforce,integration [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] coming,soon Top Word Pairs in Tweet in G10:
[21] sponsorships,open [21] open,witness [21] witness,success [21] success,back [21] back,love [21] love,company [21] company,display [21] display,minneapolis [21] minneapolis,july [19] witnesssuccess,sponsorships 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 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:
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Top Tweeters in G5:
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Top Tweeters in G10: