The graph represents a network of 7,218 Twitter users whose tweets in the requested range contained "@letour OR #TDF2020", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 29 September 2020 at 10:26 UTC.
The requested start date was Monday, 28 September 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 4-day, 22-hour, 19-minute period from Wednesday, 23 September 2020 at 01:27 UTC to Sunday, 27 September 2020 at 23:46 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 : 7218
Unique Edges : 9774
Edges With Duplicates : 13721
Total Edges : 23495
Number of Edge Types : 5
Retweet : 5014
MentionsInRetweet : 9284
Mentions : 7016
Replies to : 1349
Tweet : 832
Self-Loops : 909
Reciprocated Vertex Pair Ratio : 0.0191651889237485
Reciprocated Edge Ratio : 0.0376095830823797
Connected Components : 348
Single-Vertex Connected Components : 196
Maximum Vertices in a Connected Component : 6562
Maximum Edges in a Connected Component : 22440
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.396541
Graph Density : 0.00028685618179391
Modularity : 0.463144
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,218 Twitter users whose tweets in the requested range contained "@letour OR #TDF2020", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 29 September 2020 at 10:26 UTC.
The requested start date was Monday, 28 September 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 4-day, 22-hour, 19-minute period from Wednesday, 23 September 2020 at 01:27 UTC to Sunday, 27 September 2020 at 23:46 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 : @letour OR #TDF2020
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:
[685] chapeau,monsieur [685] monsieur,alafpolak1 [684] letour,chapeau [615] tour,france [282] やはりioc,国際オリンピック委員会の東京オリンピック開催に向けてのトーンの変化の理由は [282] 国際オリンピック委員会の東京オリンピック開催に向けてのトーンの変化の理由は,#ツールドフランス [282] #ツールドフランス,だった [282] だった,ツールのような複雑な大会が実現できた [282] ツールのような複雑な大会が実現できた,ワクチンなしでも開催できることを世界に示した [282] ワクチンなしでも開催できることを世界に示した,と発言 Top Word Pairs in Tweet in G1:
[625] chapeau,monsieur [625] monsieur,alafpolak1 [624] letour,chapeau [97] tour,france [92] opticiens_krys,letour [81] miguel,indurain [76] ils,sont [76] gagné,tour [75] fin,étape [75] étape,18 Top Word Pairs in Tweet in G2:
[89] tour,france [63] yellow,jersey [57] follow,tenter [55] letour,tamaupogi [48] letour,#tdf2020 [47] green,jersey [47] tenter,gagner [38] letour,follow [38] follow,win [38] win,yellow Top Word Pairs in Tweet in G3:
[47] uci_cycling,letour [46] letour,winner [39] attack,tamaupogi [38] imola_er2020,letour [38] stradebianche,milano_sanremo [38] winner,attack [38] tamaupogi,first [38] first,favourites [38] favourites,play [38] play,card Top Word Pairs in Tweet in G4:
[224] podium,#tdf2020 [222] feels,along [222] along,way [222] way,richie_porte's [222] richie_porte's,podium [222] #tdf2020,thanks [222] thanks,aso [222] aso,race [222] race,footage [221] treksegafredo,feels Top Word Pairs in Tweet in G5:
[111] letour,40 [111] 40,téléspectateurs [111] téléspectateurs,#tdf2020 [111] #tdf2020,francetvsport [111] francetvsport,14 [111] 14,visiteurs [110] visiteurs,fol [37] cmont4560,hoytejennifer [35] hoytejennifer,fabfmaterazzi [35] fabfmaterazzi,2wheeltonio Top Word Pairs in Tweet in G6:
[273] やはりioc,国際オリンピック委員会の東京オリンピック開催に向けてのトーンの変化の理由は [273] 国際オリンピック委員会の東京オリンピック開催に向けてのトーンの変化の理由は,#ツールドフランス [273] #ツールドフランス,だった [273] だった,ツールのような複雑な大会が実現できた [273] ツールのような複雑な大会が実現できた,ワクチンなしでも開催できることを世界に示した [273] ワクチンなしでも開催できることを世界に示した,と発言 [273] と発言,co [272] sascha348,やはりioc [272] co,fmku [32] 今ﾂｰﾙのﾚｰｽ内容が素晴らしかったのはもちろんだが,それを支えた外枠が堅牢だったことに感謝したい Top Word Pairs in Tweet in G7:
[29] nuestro,primer [29] primer,letour [29] gran,actuación [27] #richardcarapaz,10 [27] 10,mejores [27] mejores,escalafón [27] escalafón,mundial [27] mundial,uci_cycling [27] uci_cycling,gracias [27] gracias,gran Top Word Pairs in Tweet in G8:
[92] tour,france [82] 2020,tour [80] letour,watched [80] watched,decade [79] nbc,sports [79] sports,coverage [79] coverage,thrilling [79] thrilling,2020 [79] france,letour [78] nbcsportspr,nbc Top Word Pairs in Tweet in G9:
[15] tour,france [14] tour,francia [13] francia,2020 [13] tadej,pogačar [12] campeón,#tdf2020 [11] 2020,tadej [11] pogačar,campeón [8] tadej,pogacar [8] #allezalm,#tdf2020 [5] #氣志團万博2020,#tdf2020 Top Word Pairs in Tweet in G10:
[73] one,highest [73] tour,france [72] climbing,level [72] level,2020 [72] 2020,tour [72] france,one [72] highest,recorded [72] recorded,1999 [72] 1999,same [72] same,armstrong Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
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 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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G10: