The graph represents a network of 375 Twitter users whose recent tweets contained "oecddev", 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 Monday, 05 April 2021 at 08:44 UTC.
The tweets in the network were tweeted over the 7-day, 4-hour, 23-minute period from Sunday, 28 March 2021 at 12:01 UTC to Sunday, 04 April 2021 at 16:25 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 : 375
Unique Edges : 1549
Edges With Duplicates : 1049
Total Edges : 2598
Number of Edge Types : 5
Retweet : 138
MentionsInRetweet : 447
Mentions : 1836
Tweet : 6
Replies to : 171
Self-Loops : 8
Reciprocated Vertex Pair Ratio : 0,0163588390501319
Reciprocated Edge Ratio : 0,0321910695742471
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 375
Maximum Edges in a Connected Component : 2598
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2,5953
Graph Density : 0,0137326203208556
Modularity : 0,377175
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 375 Twitter users whose recent tweets contained "oecddev", 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 Monday, 05 April 2021 at 08:44 UTC.
The tweets in the network were tweeted over the 7-day, 4-hour, 23-minute period from Sunday, 28 March 2021 at 12:01 UTC to Sunday, 04 April 2021 at 16:25 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 : oecddev
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:
[153] oecd_stat,oecddev [151] oecd,oecd_centre [151] oecd_centre,oecdglobal [151] oecdglobal,oecd_stat [151] oecddev,oecdtax [151] oecdtax,oecdeconomy [151] oecdeconomy,oecd_social [151] oecd_social,oecd_local [151] oecd_local,eu_social [130] economyinformal,oecd Top Word Pairs in Tweet in G1:
[62] undp,impact [62] impact,standards [62] sustainable,development [51] financing,sustainable [47] enhance,contribution [47] contribution,#sdgs [47] standards,financing [46] oecddev,undp [45] investors,enhance [45] #sdgs,promote Top Word Pairs in Tweet in G2:
[145] oecd,oecd_centre [145] oecd_centre,oecdglobal [145] oecdglobal,oecd_stat [145] oecd_stat,oecddev [145] oecddev,oecdtax [145] oecdtax,oecdeconomy [145] oecdeconomy,oecd_social [145] oecd_social,oecd_local [145] oecd_local,eu_social [125] economyinformal,oecd Top Word Pairs in Tweet in G3:
[2] oecd,oecd_stat [2] oecd_stat,oecddev [2] oecddev,oecdtrade [2] oecdtrade,iea [2] iea,oecdtax [2] oecdtax,unep [2] unep,undp [2] undp,iisd_sdgs [2] iisd_sdgs,iisd_news [2] iisd_news,capscoalition Top Word Pairs in Tweet in G4:
[2] economyinformal,oecd [2] oecd,oecd_centre [2] oecd_centre,oecdglobal [2] oecdglobal,oecd_stat [2] oecd_stat,oecddev [2] oecddev,oecdtax [2] oecdtax,oecdeconomy [2] oecdeconomy,oecd_social [2] oecd_social,oecd_local [2] oecd_local,eu_social Top Word Pairs in Tweet in G5:
[2] africa,commit [2] commit,#publicprocurement [2] #publicprocurement,strategic [2] strategic,asset [2] asset,meet [2] meet,developmental [2] developmental,objectives [2] objectives,josephinefaal [2] josephinefaal,govpprs [2] govpprs,publicprocure Top Word Pairs in Tweet in G6:
[9] jaardavin,oecd [9] #cuauhtemocruizmatus,opsoms [9] bernalette1,jpaulinich [9] ocdeenespanol,oecd [9] oecd,selainforma [9] selainforma,oecddev [9] oecddev,#selainforma [9] #selainforma,#covid19 [9] #covid19,#alyc [9] #alyc,#américalatina Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G10: