The graph represents a network of 1,513 Twitter users whose tweets in the requested range contained "marketingautomation ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 26 October 2020 at 21:39 UTC.
The requested start date was Monday, 26 October 2020 at 00:01 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 13-day, 23-hour, 19-minute period from Monday, 12 October 2020 at 00:39 UTC to Sunday, 25 October 2020 at 23:58 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 : 1513
Unique Edges : 1106
Edges With Duplicates : 3362
Total Edges : 4468
Number of Edge Types : 5
Retweet : 923
MentionsInRetweet : 1087
Mentions : 896
Tweet : 1538
Replies to : 24
Self-Loops : 1571
Reciprocated Vertex Pair Ratio : 0.0360631104432757
Reciprocated Edge Ratio : 0.069615663524293
Connected Components : 487
Single-Vertex Connected Components : 350
Maximum Vertices in a Connected Component : 736
Maximum Edges in a Connected Component : 3066
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.28019
Graph Density : 0.000602800421042325
Modularity : 0.339577
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,513 Twitter users whose tweets in the requested range contained "marketingautomation ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 26 October 2020 at 21:39 UTC.
The requested start date was Monday, 26 October 2020 at 00:01 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 13-day, 23-hour, 19-minute period from Monday, 12 October 2020 at 00:39 UTC to Sunday, 25 October 2020 at 23:58 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 : marketingautomation
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:
[575] read,more [432] more,#bigdata [431] #marketing,#marketingautomation [386] marketing,automation [373] #bigdata,#communication [331] gt,gt [325] #marketingautomation,#marketingstrategy [310] #digitalmarketing,#marketing [310] #communication,#consumerengagement [302] #consumerengagement,#digital Top Word Pairs in Tweet in G1:
[82] marketing,automation [21] email,marketing [20] #marketingautomation,#marketing [18] #marketing,#marketingautomation [18] gt,gt [15] #emailmarketing,#marketingautomation [14] #marketingautomation,help [13] #marketing,#digitalmarketing [13] help,grow [12] three,ways Top Word Pairs in Tweet in G2:
[41] marketing,automation [22] content,marketing [22] #marketingautomation,#contentmarketing [17] article,1827marketing [15] experience,learn [15] learn,more [15] 98,b2b [15] b2b,marketers [15] marketers,believe [15] believe,content Top Word Pairs in Tweet in G3:
[465] read,more [426] more,#bigdata [389] #marketing,#marketingautomation [371] #bigdata,#communication [309] #communication,#consumerengagement [306] #marketingautomation,#marketingstrategy [304] #digitalmarketing,#marketing [302] #consumerengagement,#digital [302] gt,gt [301] #digital,#digitalagency Top Word Pairs in Tweet in G4:
[46] startups,big [44] one,#marketing [44] #marketing,platforms [44] platforms,best [44] best,bet [44] bet,#marketingautomation [44] #marketingautomation,one [44] one,marketing [44] marketing,automation [43] ash_mufareh,one Top Word Pairs in Tweet in G5:
[26] #marketingcloud,#marketingautomation [24] #marketingautomation,#salesforce [22] #salesforce,#marketingautomation [21] #marketingautomation,#marketingcloud [18] #salesforce,#marketingcloud [13] #marketingcloud,#salesforce [11] web,push [9] marketing,automation [8] automation,really [8] really,automation Top Word Pairs in Tweet in G6:
[25] help,busco [25] busco,ponentes [25] ponentes,mujeres [25] mujeres,falta [25] falta,algo [25] algo,presencia [25] presencia,femenina [25] femenina,estoy [25] estoy,segura [25] segura,mucho Top Word Pairs in Tweet in G7:
[17] marketing,automation [9] automation,software [4] hubspot,workflows [4] ways,#marketingautomation [4] grow,business [3] hubspot,#marketingautomation [3] choose,marketing [3] software,marketing [3] software,great [3] great,tool Top Word Pairs in Tweet in G8:
[22] #marrinadecisions,#martech [19] #business,#personalization [17] #emailmarketing,#marketing [15] #martech,#marketo [14] #marketo,#marketingautomation [14] #marketingautomation,#marketingoperation [14] #personalization,#emailmarketing [13] #marketingoperation,#business [12] #marketingautomation,#business [10] marketing,automation Top Word Pairs in Tweet in G9:
[5] choisir,sa [5] sa,plateforme [5] comment,bien [4] ve,assembled [4] assembled,main [4] main,topics [4] topics,brought [4] brought,webmecanik [4] webmecanik,speakers [4] speakers,scouleaud Top Word Pairs in Tweet in G10:
[7] email,automation [7] automation,practice [7] practice,sending [7] sending,emails [7] emails,people [7] people,usually [7] usually,customers [7] customers,response [7] response,specific [7] specific,triggers Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G7:
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: