The graph represents a network of 2,569 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, 13 July 2020 at 05:39 UTC.
The requested start date was Monday, 13 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 21-hour, 14-minute period from Tuesday, 07 July 2020 at 13:42 UTC to Sunday, 12 July 2020 at 10:56 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 : 2569
Unique Edges : 4371
Edges With Duplicates : 8482
Total Edges : 12853
Number of Edge Types : 5
Retweet : 3266
MentionsInRetweet : 6950
Tweet : 1365
Mentions : 1164
Replies to : 108
Self-Loops : 1433
Reciprocated Vertex Pair Ratio : 0.0185362735698306
Reciprocated Edge Ratio : 0.0363978663319736
Connected Components : 214
Single-Vertex Connected Components : 151
Maximum Vertices in a Connected Component : 2240
Maximum Edges in a Connected Component : 12428
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.089776
Graph Density : 0.000966168636595691
Modularity : 0.387221
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 2,569 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, 13 July 2020 at 05:39 UTC.
The requested start date was Monday, 13 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 21-hour, 14-minute period from Tuesday, 07 July 2020 at 13:42 UTC to Sunday, 12 July 2020 at 10:56 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:
[626] starbucks,salesforce [605] contracts,racist [604] pattonoswalt,queerjohnpa [603] tag,starbucks [603] salesforce,contracts [597] damonmpa,pattonoswalt [590] queerjohnpa,please [583] please,donâ [583] donâ,tag [570] racist,#michaellofthousâ Top Word Pairs in Tweet in G1:
[91] series,sessions [66] #salesforcedaily,daily [66] daily,tip [64] lwc,msakthivel83 [61] badge,trailhead [60] jollypaarth,#salesforcedaily [54] salesforce,data [53] learn,lwc [53] msakthivel83,#impactsalesforcesaturday [53] #impactsalesforcesaturday,series Top Word Pairs in Tweet in G2:
[614] starbucks,salesforce [600] pattonoswalt,queerjohnpa [598] tag,starbucks [598] salesforce,contracts [598] contracts,racist [594] damonmpa,pattonoswalt [589] queerjohnpa,please [578] please,donâ [578] donâ,tag [569] racist,#michaellofthousâ Top Word Pairs in Tweet in G3:
[33] ãƒ,ム[11] #salesforce,#oracle [10] #crm,#markt [10] #martech,#sap [10] #sap,#salesforce [5] ãƒ,æ [5] æ,ç [5] #markt,umfassender [5] umfassender,ãœberblick [5] ãœberblick,die Top Word Pairs in Tweet in G4:
[70] ãƒ,ム[31] #salesforce,buy [31] buy,tableau [31] tableau,15 [31] 15,billion [31] billion,#analytics [31] #analytics,push [31] push,#bigdata [31] #bigdata,#machinelearning [28] hachion,offering Top Word Pairs in Tweet in G5:
[54] #salesforce,salesforce [21] ãƒ,ム[16] salesforce,#salesforce [12] looking,trained [12] trained,#salesforce [12] #salesforce,admin [12] admin,offering [12] offering,upcoming [12] upcoming,class [12] class,99 Top Word Pairs in Tweet in G6:
[14] #salesforce,certification [14] certification,voucher [14] voucher,giveaway [14] texas,ohana [11] customer,success [11] success,story [11] story,utilizing [10] processes,#salesforce [9] today,last [9] last,day Top Word Pairs in Tweet in G7:
[28] first,startup [28] startup,stock [28] stock,exchange [28] exchange,serves [28] serves,trading [28] trading,hub [28] hub,combining [28] combining,existing [28] existing,stocks [27] sgjane1,#pandorabox Top Word Pairs in Tweet in G8:
[5] prosera,analytics [5] analytics,private [5] private,limited [5] limited,#nowhiring [5] #nowhiring,experienced [5] experienced,#salesforce [5] #salesforce,developer [5] developer,integration [5] integration,expertise [4] congratulations,anshi Top Word Pairs in Tweet in G9:
[7] #nocode,#lowcode [7] #lowcode,#news [7] #news,#code [6] still,hiring [5] starting,thread [5] thread,job [5] job,opportunities [5] opportunities,still [5] hiring,each [5] each,includes Top Word Pairs in Tweet in G10:
[19] vaga,dev [19] dev,jr [18] jr,salesforce [18] salesforce,brqdigital [18] brqdigital,leia [18] leia,thread [18] thread,seleção [18] seleção,talentos [18] talentos,programa [18] programa,brq Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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: