The graph represents a network of 964 Twitter users whose recent tweets contained "#bundesligarating", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 22 May 2020 at 16:46 UTC.
The tweets in the network were tweeted over the 6-hour, 51-minute period from Friday, 22 May 2020 at 09:52 UTC to Friday, 22 May 2020 at 16:44 UTC.
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 : 964
Unique Edges : 981
Edges With Duplicates : 62
Total Edges : 1043
Number of Edge Types : 5
Replies to : 577
Retweet : 129
Tweet : 206
Mentions : 125
MentionsInRetweet : 6
Self-Loops : 208
Reciprocated Vertex Pair Ratio : 0.00248756218905473
Reciprocated Edge Ratio : 0.00496277915632754
Connected Components : 206
Single-Vertex Connected Components : 181
Maximum Vertices in a Connected Component : 656
Maximum Edges in a Connected Component : 739
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.337954
Graph Density : 0.000868223868185089
Modularity : 0.507031
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 964 Twitter users whose recent tweets contained "#bundesligarating", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 22 May 2020 at 16:46 UTC.
The tweets in the network were tweeted over the 6-hour, 51-minute period from Friday, 22 May 2020 at 09:52 UTC to Friday, 22 May 2020 at 16:44 UTC.
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 : TwitterSearch
Graph Term : #bundesligarating
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in G2:
[892] rating,10 [569] bester,einkauf [567] spieler,saison [566] saison,rating [565] trainer,rating [462] 10,#bundesligarating [462] 10,saison [280] kopieren,verein [274] verein,rein [236] rein,verein Top Word Pairs in Tweet in G3:
[270] rating,10 [171] bester,einkauf [171] spieler,saison [171] trainer,rating [169] saison,rating [142] 10,saison [141] 10,#bundesligarating [77] 10,10 [40] fcbayern,bester [40] fehleinkauf,trainer Top Word Pairs in Tweet in G4:
[34] si,quieren [19] quieren,el [19] el,pickete [19] pickete,el [19] el,análisis [18] análisis,la [16] la,00 [9] 00,pm [8] pm,denle [8] denle,100 Top Word Pairs in Tweet in G5:
[40] bayram,şekeriniz [40] şekeriniz,360 [40] 360,bahisten [40] bahisten,sporda [40] sporda,geçerli [40] geçerli,250 [40] 250,tl [40] tl,yatırımınıza [40] yatırımınıza,100 [40] 100,tl Top Word Pairs in Tweet in G6:
[22] rating,10 [22] bester,einkauf [22] spieler,saison [22] trainer,rating [22] saison,rating [22] 10,#bundesligarating [22] gamerbr0ski,verein [22] verein,fc [22] fc,augsburg [22] augsburg,bester Top Word Pairs in Tweet in G7:
[32] bester,einkauf [24] spieler,saison [24] trainer,rating [24] saison,rating [22] saison,cordoba [22] flop,mere [16] fehleinkauf,schindler [16] schindler,trainer [16] 10,saison [16] rating,10 Top Word Pairs in Tweet in G8:
[8] guarantee,20 [8] 20,cash [8] cash,receive [8] receive,one [5] one,month [5] month,of [5] of,premium [5] premium,service [5] service,american [5] american,sports Top Word Pairs in Tweet in G9:
[8] kopieren,verein [8] verein,corrently [8] corrently,bester [8] bester,einkauf [8] einkauf,regionaler [8] regionaler,ökostrom [8] ökostrom,spieler [8] spieler,saison [8] saison,pv [8] pv,kraftwerk Top Word Pairs in Tweet in G10:
[3] rating,10 [3] bester,einkauf [3] spieler,saison [3] trainer,rating [3] saison,rating [3] schulz,trainer [3] 10,#bundesligarating [3] sancho,flop [3] 10,saison [3] nico,schulz Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G7:
Top Mentioned in G9:
Top Tweeters in Entire Graph:
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Top Tweeters in G2:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: