The graph represents a network of 10 Twitter users whose tweets in the requested range contained "#GreenChemicals", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 21 September 2021 at 02:28 UTC.
The requested start date was Tuesday, 21 September 2021 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 7-day, 17-hour, 32-minute period from Wednesday, 08 September 2021 at 17:58 UTC to Thursday, 16 September 2021 at 11:30 UTC.
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 : 10
Unique Edges : 3
Edges With Duplicates : 26
Total Edges : 29
Number of Edge Types : 4
Retweet : 9
MentionsInRetweet : 10
Tweet : 5
Mentions : 5
Self-Loops : 6
Reciprocated Vertex Pair Ratio : 0.222222222222222
Reciprocated Edge Ratio : 0.363636363636364
Connected Components : 3
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 6
Maximum Edges in a Connected Component : 20
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.136364
Graph Density : 0.122222222222222
Modularity : 0.289834
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10 Twitter users whose tweets in the requested range contained "#GreenChemicals", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 21 September 2021 at 02:28 UTC.
The requested start date was Tuesday, 21 September 2021 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 7-day, 17-hour, 32-minute period from Wednesday, 08 September 2021 at 17:58 UTC to Thursday, 16 September 2021 at 11:30 UTC.
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 : #GreenChemicals
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:
[10] based,chemicals [5] bio,based [5] here's,preview [5] preview,innovators [5] innovators,entrepreneurs [5] entrepreneurs,talking [5] talking,'bio [5] 'bio,based [5] chemicals,showcase' [5] showcase',next Top Word Pairs in Tweet in G1:
[10] based,chemicals [5] here's,preview [5] preview,innovators [5] innovators,entrepreneurs [5] entrepreneurs,talking [5] talking,'bio [5] 'bio,based [5] chemicals,showcase' [5] showcase',next [5] bio,based Top Word Pairs in Tweet in G2:
[2] blurring,boundary [2] boundary,between [2] between,homogenous [2] homogenous,heterogeneous [2] heterogeneous,catalysis [2] catalysis,using [2] using,palladium [2] palladium,nanoclusters [2] nanoclusters,dynamic Top Word Pairs in Tweet in G3:
[2] #organictreat,#greenchemicals [2] üretim,ve [2] ve,re [2] re,enjeksiyon [2] enjeksiyon,kuyularında [2] kuyularında,yapılan [2] yapılan,asitleme [2] asitleme,işlemleri [2] işlemleri,sırasında [2] sırasında,metal Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3: