The graph represents a network of 799 Twitter users whose recent tweets contained "opendata", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 23:03 UTC.
The tweets in the network were tweeted over the 1269-day, 10-hour, 29-minute period from Friday, 19 July 2019 at 14:30 UTC to Monday, 09 January 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 799
Unique Edges : 553
Edges With Duplicates : 1232
Total Edges : 1785
Number of Edge Types : 9
Retweet : 356
MentionsInRetweet : 488
Tweet : 353
MentionsInReplyTo : 186
Replies to : 88
Mentions : 230
Quote : 25
MentionsInQuote : 44
MentionsInQuoteReply : 15
Self-Loops : 438
Reciprocated Vertex Pair Ratio : 0.0325301204819277
Reciprocated Edge Ratio : 0.0630105017502917
Connected Components : 162
Single-Vertex Connected Components : 41
Maximum Vertices in a Connected Component : 164
Maximum Edges in a Connected Component : 429
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.981214
Graph Density : 0.00134409866970304
Modularity : 0.490373
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 799 Twitter users whose recent tweets contained "opendata", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 23:03 UTC.
The tweets in the network were tweeted over the 1269-day, 10-hour, 29-minute period from Friday, 19 July 2019 at 14:30 UTC to Monday, 09 January 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : opendata
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:
[89] 2023,01 [87] total,00 [87] 00,acres [87] gt,currently [87] wildfires,burning [87] burning,total [87] acres,burned [83] test,źródło [83] #pogoda,#polska [83] źródło,#pogoda Top Word Pairs in Tweet in G1:
[82] 2023,#copernicus [74] #copernicus,#sentinel [64] full,size [63] #sentinel,full [42] january,2023 [40] jan,2023 [31] #italy,jan [31] sicily,#italy [31] mount,etna [31] etna,volcano Top Word Pairs in Tweet in G2:
[8] github,provides [8] #eprocurement,ontology [8] creation,reuse [8] ontology,github [8] reuse,linked [8] interested,#eprocurement [8] resources,creation [8] provides,resources [7] joinup_eu,interested [7] linked,#open Top Word Pairs in Tweet in G3:
[89] 2023,01 [83] źródło,#pogoda [83] prognoza,2023 [83] #pogoda,#polska [83] test,źródło [59] autotweet,temperatura [59] model,#icon [59] eu,prognoza [59] #icon,eu [33] temperatura,maksymalna Top Word Pairs in Tweet in G4:
[9] news,medical [9] restart,clinical [9] transparency,programme [9] researchers,patients [9] medical,researchers [9] study,report [9] report,transparency [9] clinical,study [9] good,news [9] ema,restart Top Word Pairs in Tweet in G5:
[25] meer,dan [24] cbs,week [24] 26,dec [24] overleden,ruim [24] 52,26 [24] ruim,3800 [24] 550,meer [24] deze,week [24] dec,jan [24] week,52 Top Word Pairs in Tweet in G6:
[9] happy,openalex_org [9] apcs,tripled [9] openalex_org,data [9] 2013,2020 [9] 2020,happy [9] tripled,period [9] helped,inform [9] data,helped [9] france,total [9] period,2013 Top Word Pairs in Tweet in G7:
[6] #fintech,#datascience [6] useful,public [6] terence_mills,ipfconline1 [6] #opendata,terence_mills [6] #datascience,#ai [6] making,data [6] data,useful [6] #bigdata,#insurtech [6] #ai,#opendata [6] #health,#bigdata Top Word Pairs in Tweet in G8:
[18] buscar,os [18] uma,dada [18] dada,legislatura [18] os,discursos [18] básico,buscar [18] discursos,deputados [18] deputados,uma [18] script,básico [18] #rstats,#opendata [18] legislatura,#rstats Top Word Pairs in Tweet in G9:
[6] newscientist,okfn [6] okfnindia,odihq [6] #tech,award [6] #science,#tech [6] #opendata,newscientist [6] open,#science [6] award,#opendata [6] #science,#ai [6] okfn,okfnindia Top Word Pairs in Tweet in G10:
[8] fertilizers,october [8] 2022,70 [8] october,2022 [8] 70,european [7] commodity,markets [7] 2022,commodity [7] fall,report [7] outlook,fall [7] markets,outlook [7] report,fertilizers Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: