The graph represents a network of 6,572 Twitter users whose tweets in the requested range contained "opendata", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 26 October 2020 at 19:42 UTC.
The requested start date was Monday, 26 October 2020 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 8-day, 9-hour, 58-minute period from Saturday, 17 October 2020 at 14:01 UTC to Monday, 26 October 2020 at 00:00 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 : 6572
Unique Edges : 5677
Edges With Duplicates : 13152
Total Edges : 18829
Number of Edge Types : 5
Mentions : 4306
Retweet : 4963
MentionsInRetweet : 7793
Replies to : 503
Tweet : 1264
Self-Loops : 1339
Reciprocated Vertex Pair Ratio : 0.048078941843376
Reciprocated Edge Ratio : 0.0917467948717949
Connected Components : 616
Single-Vertex Connected Components : 203
Maximum Vertices in a Connected Component : 4425
Maximum Edges in a Connected Component : 15050
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.216366
Graph Density : 0.000231193463078932
Modularity : 0.49157
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,572 Twitter users whose tweets in the requested range contained "opendata", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 26 October 2020 at 19:42 UTC.
The requested start date was Monday, 26 October 2020 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 8-day, 9-hour, 58-minute period from Saturday, 17 October 2020 at 14:01 UTC to Monday, 26 October 2020 at 00:00 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 : GraphServerTwitterSearch
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:
[405] 10,2020 [257] μg,m3 [257] m3,pm10 [255] poor,pm1 [246] #airquality,very [246] very,poor [225] covid,19 [216] open,data [214] 100,rh [168] #corona,#coronawet Top Word Pairs in Tweet in G1:
[69] copernicuseu,#sentinel2 [66] #sentinel2,image [65] latest,copernicuseu [65] image,#villarrica [65] #villarrica,#volcano [65] #volcano,taken [65] taken,oct [65] oct,15 [65] 15,same [65] same,day Top Word Pairs in Tweet in G2:
[84] #opendata,#openscience [80] open,access [41] #openscience,#opendata [39] access,week [35] #fintech,#banking [33] #openaccess,#opendata [32] iochem,bd [25] support,#openaccess [25] attn,neurosci [25] neurosci,#neurotech Top Word Pairs in Tweet in G3:
[60] poor,pm1 [60] μg,m3 [60] m3,pm10 [57] #airquality,very [57] very,poor [55] 100,rh [52] données,#opendata [51] mercredi,17h [50] collectivités,locales [50] leurs,obligations Top Word Pairs in Tweet in G4:
[134] extreme,poverty [96] 356,million [90] million,children [78] lived,extreme [78] poverty,before [77] before,pandemic [71] children,lived [71] pandemic,hit [71] hit,approximately [71] approximately,children Top Word Pairs in Tweet in G5:
[26] immer,mehr [25] mehr,#kommunen [25] daten,offen [24] dabei,stehen [24] eu_dataportal,interested [23] offene,daten [22] bertelsmannst,immer [22] #kommunen,möchten [22] möchten,daten [22] offen,bereitstellen Top Word Pairs in Tweet in G6:
[23] open,data [18] #będzin,#grodziec [18] stacja,badawcza [18] imgw,pib [14] 10,2020r [11] 10,2020 [11] covid,19 [10] data,analysis [10] analysis,#opendata [10] #opendata,#education Top Word Pairs in Tweet in G7:
[171] μg,m3 [171] m3,pm10 [169] poor,pm1 [164] #airquality,very [164] very,poor [164] 10,2020 [139] #opendata,#opensource [138] 100,rh [138] #fcub,#fuoricomeunbalcone [138] #fuoricomeunbalcone,#opendata Top Word Pairs in Tweet in G8:
[69] segunda,semana [69] semana,vasco [69] vasco,publica [69] publica,boletín [69] boletín,epidemiológico [69] epidemiológico,cifra [69] cifra,total [69] total,muertos [69] muertos,coronavirus [68] ldpsincomplejos,segunda Top Word Pairs in Tweet in G9:
[83] vincentmwale,nkwoolley [83] nkwoolley,eu_opendata [83] eu_opendata,zambiaasks [71] zambian,youths [71] youths,let's [71] let's,take [71] take,part [71] part,movement [71] movement,people [71] people,choose Top Word Pairs in Tweet in G10:
[30] ámbito,educativo [23] premia,000 [23] 000,mejores [23] mejores,ideas [23] ideas,ámbito [23] educativo,basadas [23] basadas,soluciones [16] soluciones,tecnológicas [15] #opendata,#edtech [15] #desafioaporta2020,premia Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: