The graph represents a network of 13 Twitter users whose tweets in the requested range contained "#AdobeChat", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 05 August 2020 at 20:52 UTC.
The requested start date was Wednesday, 05 August 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
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 : 13
Unique Edges : 5
Edges With Duplicates : 23
Total Edges : 28
Number of Edge Types : 4
Retweet : 11
MentionsInRetweet : 13
Tweet : 2
Mentions : 2
Self-Loops : 6
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 4
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 5
Maximum Edges in a Connected Component : 12
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 0.978723
Graph Density : 0.0705128205128205
Modularity : 0.390625
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 13 Twitter users whose tweets in the requested range contained "#AdobeChat", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 05 August 2020 at 20:52 UTC.
The requested start date was Wednesday, 05 August 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
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 : #AdobeChat
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:
[6] check,latest [6] latest,tj [6] tj,gamble [6] gamble,ecommerceaholic [6] ecommerceaholic,thriving [6] thriving,moment [6] moment,commerce [6] commerce,social [6] social,magnets [5] need,know Top Word Pairs in Tweet in G1:
[5] need,know [5] know,data [5] data,science [5] science,#skillanalytica [5] #skillanalytica,#datascience [5] #datascience,#datamining [5] #datamining,#blockchain [5] #blockchain,#bigdata [5] #bigdata,#coding [5] #coding,#chatbot Top Word Pairs in Tweet in G2:
[2] many,folks [2] folks,working [2] working,remotely [2] remotely,seems [2] seems,perfect [2] perfect,time [2] time,bring [2] bring,back [2] back,#adobechat [2] #adobechat,think Top Word Pairs in Tweet in G3:
[6] check,latest [6] latest,tj [6] tj,gamble [6] gamble,ecommerceaholic [6] ecommerceaholic,thriving [6] thriving,moment [6] moment,commerce [6] commerce,social [6] social,magnets [5] ross_quintana,check Top Word Pairs in Tweet in G4:
[2] twitter,chats [2] chats,utiles [2] utiles,marketing [2] marketing,today's [2] today's,#socialmedia [2] #socialmedia,#marketing [2] #marketing,#twitterchat [2] #twitterchat,list [2] list,wednesday [2] wednesday,#brandchat Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: