The graph represents a network of 5,437 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 Tuesday, 16 August 2022 at 00:06 UTC.
The requested start date was Monday, 15 August 2022 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, 4-hour, 9-minute period from Monday, 01 August 2022 at 18:33 UTC to Sunday, 14 August 2022 at 22:42 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 : 5437
Unique Edges : 724
Edges With Duplicates : 13010
Total Edges : 13734
Number of Edge Types : 5
Retweet : 5832
MentionsInRetweet : 5972
Tweet : 1401
Mentions : 490
Replies to : 39
Self-Loops : 1441
Reciprocated Vertex Pair Ratio : 0.00285823170731707
Reciprocated Edge Ratio : 0.00570017100513015
Connected Components : 414
Single-Vertex Connected Components : 292
Maximum Vertices in a Connected Component : 4762
Maximum Edges in a Connected Component : 12355
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 2.547828
Graph Density : 0.000178071570493131
Modularity : 0.297785
NodeXL Version : 1.0.1.503
Data Import : The graph represents a network of 5,437 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 Tuesday, 16 August 2022 at 00:06 UTC.
The requested start date was Monday, 15 August 2022 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, 4-hour, 9-minute period from Monday, 01 August 2022 at 18:33 UTC to Sunday, 14 August 2022 at 22:42 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:
[4323] #stakified,coming [4322] coming,soon [4322] make,project [4322] project,ecosystem [4322] ecosystem,within [4322] within,few [4322] few,clicks [4321] soon,disrupt [4321] launchpad,industry [4321] industry,make Top Word Pairs in Tweet in G1:
[4289] #stakified,coming [4289] coming,soon [4289] soon,disrupt [4289] disrupt,decentralised [4289] decentralised,launchpad [4289] launchpad,industry [4289] industry,make [4289] make,project [4289] project,ecosystem [4289] ecosystem,within Top Word Pairs in Tweet in G2:
[55] marketing,automation [22] #marketing,#marketingautomation [19] #emailmarketing,#marketingautomation [16] #marketingautomation,#marketing [15] email,marketing [14] gt,gt [13] marketing,enriquecer [13] enriquecer,recorrido [13] recorrido,cliente [13] cliente,empujar Top Word Pairs in Tweet in G3:
[104] marketing,automation [94] #marketingautomation,video [56] #martech,#digitalmarketing [56] #digitalmarketing,#cmo [56] #cmo,#marketingautomation [55] #crm,#marketingautomation [46] #marketingautomation,#marketingoperations [40] #digitalmarketing,#marketingautomation [36] #marketingautomation,#marketingstrategy [36] #marketingautomation,#automations Top Word Pairs in Tweet in G4:
[112] working,#marketingautomation [112] #marketingautomation,system [112] system,socialconnector [111] garylhenderson,working [11] share,#chirpley [11] #chirpley,influencer [11] influencer,profile [11] profile,socials [11] socials,noticed [11] noticed,brands Top Word Pairs in Tweet in G5:
[101] read,more [99] more,#emailmarketing [96] #emailmarketing,#jobsearch [92] #jobsearch,#jobs [88] #jobs,#email [88] #email,#marketingautomation [88] #marketingautomation,#emailjobs [88] #emailjobs,#marketingtwitter [61] email,marketing [42] marketing,automation Top Word Pairs in Tweet in G6:
[31] #stakified,coming [30] coming,soon [30] make,project [30] project,ecosystem [30] ecosystem,within [30] within,few [30] few,clicks [29] stakified,gate_io [29] gate_io,gumicryptos [29] gumicryptos,waterdripfund Top Word Pairs in Tweet in G7:
[7] segmentation,b2b [7] votre,base [7] base,contacts [6] b2b,critères [6] critères,exemples [6] exemples,votre [6] contacts,pleziapp_fr [6] pleziapp_fr,#cta [5] anthonyrochand,segmentation [5] #cta,#mar Top Word Pairs in Tweet in G8:
[167] #marketingautomation,video [123] #marketingautomation,#b2bmarketing [122] #marketingautomation,ondeckeo [98] #marketingautomation,#ondeckeo [62] marketing,automation [58] ondeckeo,#marketingautomation [56] #ondeckeo,#marketingautomation [54] #marketingsuccess,video [50] #b2bmarketing,#marketingautomation [37] ondeckeo,#chatbot Top Word Pairs in Tweet in G9:
[11] machine,learning [11] learning,future [11] future,marketing [11] marketing,#digitalmarketing [11] #digitalmarketing,#marketing [11] #marketing,#5g [11] #5g,#100daysofcode [11] #100daysofcode,#martech [11] #martech,#ai [10] fabriziobustama,machine Top Word Pairs in Tweet in G10:
[3] use,vern [3] vern,ai [3] ai,detect [3] detect,emotions [3] emotions,intensities [3] intensities,#healthcare [3] #healthcare,#customerservice [3] #customerservice,#content [2] blakify,text [2] text,speech Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: