The graph represents a network of 5,131 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 Wednesday, 27 November 2019 at 03:39 UTC.
The requested start date was Monday, 25 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 7-hour, 0-minute period from Tuesday, 19 November 2019 at 17:59 UTC to Monday, 25 November 2019 at 01:00 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 : 5131
Unique Edges : 7636
Edges With Duplicates : 2180
Total Edges : 9816
Number of Edge Types : 3
Mentions : 8613
Replies to : 281
Tweet : 922
Self-Loops : 922
Reciprocated Vertex Pair Ratio : 0.0559571619812584
Reciprocated Edge Ratio : 0.105983772819473
Connected Components : 534
Single-Vertex Connected Components : 150
Maximum Vertices in a Connected Component : 2911
Maximum Edges in a Connected Component : 6905
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.742875
Graph Density : 0.000299672935560061
Modularity : 0.742961
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,131 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 Wednesday, 27 November 2019 at 03:39 UTC.
The requested start date was Monday, 25 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 7-hour, 0-minute period from Tuesday, 19 November 2019 at 17:59 UTC to Monday, 25 November 2019 at 01:00 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:
[254] open,data [112] 11,2019 [104] met,nederlandse [100] nederlandse,achtergrond [100] μg,m3 [100] m3,pm10 [99] niet,westerse [98] klopt,niet [98] westerse,nederlanders [98] nederlanders,zijn Top Word Pairs in Tweet in G1:
[72] #openstreetmap,#opendata [49] #innovationoutremer,million [49] million,photos [49] photos,'streetview' [49] 'streetview',#opendata [49] #opendata,mapillary [49] mapillary,prévention [49] prévention,risques [48] ratzillas,#innovationoutremer [48] risques,sécu Top Word Pairs in Tweet in G2:
[100] μg,m3 [100] m3,pm10 [96] 11,2019 [82] 100,rh [76] #milanopartecipa,#confondazionecariplo [76] #confondazionecariplo,#comunemilano [75] #fcub,#milanopartecipa [72] #airquality,very [61] poor,pm1 [58] very,poor Top Word Pairs in Tweet in G3:
[32] machine,learning [25] #ml,#machinelearning [25] #machinelearning,#bigdata [25] iv,jornada [25] jornada,innovación [25] innovación,pública [21] 28,nov [21] nov,dipcas [21] dipcas,novagob [21] novagob,organizan Top Word Pairs in Tweet in G4:
[32] commodity,markets [32] markets,outlook [32] outlook,october [32] october,2019 [32] 2019,oil [32] oil,prices [32] prices,projected [32] projected,average [32] average,60 [32] 60,bbl Top Word Pairs in Tweet in G5:
[17] inwoners,met [17] met,leeftijd [10] #będzin,#grodziec [10] imgw,pib [9] stacja,badawcza [9] #opendata,link [8] 11,2019 [8] #opendata,info [7] verspreide,huizen [7] #opendata,data Top Word Pairs in Tweet in G6:
[25] #openglamnow,#creativereuse [25] #creativereuse,#opendata [24] creative,today's [24] today's,#openglamnow [24] #opendata,amazing [24] amazing,speakers [23] let's,creative [23] award,2019 [22] larissa_borck,let's [22] onderzoek,naar Top Word Pairs in Tweet in G7:
[22] become,numfocus [22] numfocus,member [18] #opensource,#datascience [15] give,back [15] back,#opensource [15] #datascience,tools [15] tools,use [15] use,day [15] day,become [15] #opendata,#openscience Top Word Pairs in Tweet in G8:
[97] klopt,niet [97] niet,westerse [97] westerse,nederlanders [97] nederlanders,zijn [97] zijn,vaker [97] vaker,slachtoffer [97] slachtoffer,criminaliteit [97] criminaliteit,dan [97] dan,mensen [97] mensen,met Top Word Pairs in Tweet in G9:
[23] 2019,l'aquila [20] non,ci [18] più,avrei [18] avrei,potuto [18] potuto,fare [18] fare,specialmente [18] specialmente,nel [18] nel,campo [18] campo,statistico [18] statistico,non Top Word Pairs in Tweet in G10:
[16] cyclingedin,walkcyclevote [16] walkcyclevote,popscotland [16] popscotland,transformscot [16] transformscot,john_lauder [16] john_lauder,sallyhinch [16] sallyhinch,magnatom [16] magnatom,hank_chief [15] hank_chief,darrenshirley [13] spokeslothian,cyclingedin [12] planned,british Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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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:
Top Mentioned in G2:
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Top Mentioned in G4:
Top Mentioned in G5:
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Top Mentioned in G7:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: