The graph represents a network of 583 Twitter users whose recent tweets contained "#100RepeatTweets", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 29 April 2021 at 19:25 UTC.
The tweets in the network were tweeted over the 7-day, 3-hour, 6-minute period from Thursday, 22 April 2021 at 15:50 UTC to Thursday, 29 April 2021 at 18:56 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 : 583
Unique Edges : 1236
Edges With Duplicates : 178
Total Edges : 1414
Self-Loops : 4
Reciprocated Vertex Pair Ratio : 0.0015255530129672
Reciprocated Edge Ratio : 0.00304645849200305
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 583
Maximum Edges in a Connected Component : 1414
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.988855
Graph Density : 0.00386966337170578
Modularity : 0.415511
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 583 Twitter users whose recent tweets contained "#100RepeatTweets", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 29 April 2021 at 19:25 UTC.
The tweets in the network were tweeted over the 7-day, 3-hour, 6-minute period from Thursday, 22 April 2021 at 15:50 UTC to Thursday, 29 April 2021 at 18:56 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 : TwitterSearch
Graph Term : #100RepeatTweets
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[142] virtual,meetings [105] want,create [105] create,high [105] high,performing [105] performing,team [105] team,invest [105] invest,getting [105] getting,know [105] know,makes [105] makes,fellow Top Word Pairs in Tweet in G1:
[120] virtual,meetings [82] empowerment,make [82] make,feel [82] feel,uncomfortable [82] uncomfortable,leaders [82] leaders,seek [82] seek,empower [82] empower,patients [82] patients,frontline [82] frontline,people Top Word Pairs in Tweet in G2:
[96] article,ddiworld [96] ddiworld,usa [96] usa,types [96] types,unconscious [96] unconscious,bias [96] bias,work [96] work,tackling [96] tackling,kinds [96] kinds,biases [96] biases,elevate Top Word Pairs in Tweet in G3:
[88] want,create [88] create,high [88] high,performing [88] performing,team [88] team,invest [88] invest,getting [88] getting,know [88] know,makes [88] makes,fellow [88] fellow,team Top Word Pairs in Tweet in G4:
[87] haypsych,favourite [87] favourite,psychologist [87] psychologist,twitter [87] twitter,posts [87] posts,such [87] such,interesting [87] interesting,accessible [87] accessible,content [87] content,hayley [87] hayley,94 Top Word Pairs in Tweet in G5:
[41] zoom,teams [39] 91,list [39] list,#100repeattweets [39] #100repeattweets,sylviaduckworth [39] sylviaduckworth,sylvia [39] sylvia,such [39] such,impactful [39] impactful,artist [39] artist,swopped [39] swopped,graphic Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5: