The graph represents a network of 6,563 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 Tuesday, 17 November 2020 at 20:44 UTC.
The requested start date was Monday, 16 November 2020 at 01:01 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 9-day, 3-hour, 8-minute period from Friday, 06 November 2020 at 21:51 UTC to Monday, 16 November 2020 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 : 6563
Unique Edges : 4723
Edges With Duplicates : 12409
Total Edges : 17132
Number of Edge Types : 5
Tweet : 1392
Retweet : 4923
MentionsInRetweet : 6867
Mentions : 3428
Replies to : 522
Self-Loops : 1474
Reciprocated Vertex Pair Ratio : 0.0341013824884793
Reciprocated Edge Ratio : 0.0659536541889483
Connected Components : 672
Single-Vertex Connected Components : 225
Maximum Vertices in a Connected Component : 4479
Maximum Edges in a Connected Component : 13733
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.18053
Graph Density : 0.000208422314135059
Modularity : 0.496182
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,563 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 Tuesday, 17 November 2020 at 20:44 UTC.
The requested start date was Monday, 16 November 2020 at 01:01 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 9-day, 3-hour, 8-minute period from Friday, 06 November 2020 at 21:51 UTC to Monday, 16 November 2020 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:
[406] nababaha,flooded [328] sana,makatulong [328] makatulong,sa [328] sa,rescue [312] 11,2020 [310] open,data [284] #ai,#analytics [284] #analytics,#bi [284] #bi,#bigdata [284] #bigdata,#database Top Word Pairs in Tweet in G1:
[135] nov,2020 [97] lava,flow [82] #copernicus,#sentinel [67] 2020,#copernicus [50] full,size [45] northern,#india [43] interested,data [43] #volcano,lava [41] data,#forests [41] #forests,europe Top Word Pairs in Tweet in G2:
[400] nababaha,flooded [323] sana,makatulong [323] makatulong,sa [323] sa,rescue [247] flooded,areas [166] areas,santo [166] santo,tomas [166] tomas,alcala [166] alcala,cagayan [166] cagayan,valley Top Word Pairs in Tweet in G3:
[245] #airquality,very [245] very,poor [245] poor,pm1 [245] m3,pm10 [229] μg,m3 [168] rh,humidex [159] #opendata,#opensource [157] 11,2020 [131] #fcub,#fuoricomeunbalcone [131] #fuoricomeunbalcone,#opendata Top Word Pairs in Tweet in G4:
[51] open,data [19] eu_dataportal,#opendata [14] datagvat,neue [13] datos,abiertos [13] smart,cities [12] ideas,prototipos [10] setmana,#opendatabaix [10] #opendatabaix,2020 [10] #covid19,#opendata [10] excited,eu_dataportal Top Word Pairs in Tweet in G5:
[41] electrification,planning [38] finally,#opendata [38] #opendata,collection [38] collection,creation [38] creation,visualization [38] visualization,efforts [38] efforts,towards [38] towards,supporting [38] supporting,#geospatial [38] #geospatial,electrification Top Word Pairs in Tweet in G6:
[243] 50,shades [243] shades,data [243] data,#ai [243] #ai,#analytics [243] #analytics,#bi [243] #bi,#bigdata [243] #bigdata,#database [243] #database,#dataengineering [243] #dataengineering,#datalake [243] #datalake,#datascience Top Word Pairs in Tweet in G7:
[42] amateurs,d'opendata [42] d'opendata,c'est [42] c'est,votre [42] votre,moment [42] moment,etalab [42] etalab,lance [42] lance,appel [42] appel,idées [42] idées,d'ouvertures [42] d'ouvertures,données Top Word Pairs in Tweet in G8:
[34] livraison,discrète [34] discrète,partout [34] partout,snapchat [34] #innovation,#fintech [34] #fintech,#banques [34] #banques,#dsp2 [34] #dsp2,#openbanking [31] snapchat,co [31] co,mhsldgxfr8 [31] mhsldgxfr8,#innovation Top Word Pairs in Tweet in G9:
[16] formato,aperto [15] machine,readable [13] concetto,#opendata [12] tecnologia,diventa [12] diventa,player [12] player,trasparenza [12] trasparenza,arrivano [12] arrivano,dati [12] dati,dalle [12] dalle,regioni Top Word Pairs in Tweet in G10:
[45] pur,non [45] non,ammettere [45] ammettere,l'errore [45] l'errore,drammatico [45] drammatico,commesso [45] commesso,nel [45] nel,perseverare [45] perseverare,nell'apertura [45] nell'apertura,delle [45] delle,scuole Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: