The graph represents a network of 9,336 Twitter users whose recent tweets contained "(Merkel OR Germany) (Modi OR India)", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Monday, 04 November 2019 at 08:47 UTC.
The tweets in the network were tweeted over the 1-day, 15-hour, 38-minute period from Saturday, 02 November 2019 at 16:50 UTC to Monday, 04 November 2019 at 08:29 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 : 9336
Unique Edges : 10947
Edges With Duplicates : 1634
Total Edges : 12581
Number of Edge Types : 4
Retweet : 9041
Mentions : 2288
Tweet : 989
Replies to : 263
Self-Loops : 1018
Reciprocated Vertex Pair Ratio : 0.00221872977720255
Reciprocated Edge Ratio : 0.00442763582695323
Connected Components : 643
Single-Vertex Connected Components : 368
Maximum Vertices in a Connected Component : 8030
Maximum Edges in a Connected Component : 11026
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.248232
Graph Density : 0.000124392495097047
Modularity : 0.788129
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 9,336 Twitter users whose recent tweets contained "(Merkel OR Germany) (Modi OR India)", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Monday, 04 November 2019 at 08:47 UTC.
The tweets in the network were tweeted over the 1-day, 15-hour, 38-minute period from Saturday, 02 November 2019 at 16:50 UTC to Monday, 04 November 2019 at 08:29 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 : TwitterSearch
Graph Term : (Merkel OR Germany) (Modi OR India)
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 Entire Graph:
[1864] angela,merkel [1750] 13,germany [1686] netherlands,13 [1389] 18,canada [1389] canada,21 [1387] spain,31 [1387] 32,france [1387] france,33 [1385] norway,finland [1385] italy,48 Top Word Pairs in Tweet in G1:
[1664] 13,germany [1606] netherlands,13 [1325] 18,canada [1320] press,freedom [1320] freedom,2019 [1320] 2019,norway [1320] norway,finland [1320] finland,sweden [1320] sweden,netherlands [1320] germany,18 Top Word Pairs in Tweet in G2:
[718] pm,modi [716] pmo,mum [716] mum,pm [716] modi,position [716] position,nation [716] nation,right [716] right,know [111] angela,merkel [101] म,र [101] ज,ल Top Word Pairs in Tweet in G3:
[447] india,germany [391] chancellor,merkel [141] angela,merkel [138] germany,work [138] work,together [134] skills,education [132] together,areas [132] areas,artificial [132] artificial,intelligence [132] intelligence,skills Top Word Pairs in Tweet in G4:
[680] india,green [674] unbelievable,germanys [674] germanys,economy [674] economy,teetering [674] teetering,towards [674] towards,depression [674] depression,barmy [674] barmy,frau [674] frau,gives [674] gives,1billion Top Word Pairs in Tweet in G5:
[644] angela,merkel [521] german,chancellor [518] chancellor,angela [509] sustainable,good [507] good,german [507] merkel,criticized [507] criticized,delhi's [507] delhi's,clampdown [507] during,visit [507] visit,india Top Word Pairs in Tweet in G6:
[318] german,chancellor [260] angela,merkel [223] chancellor,angela [184] state,sponsored [154] writes,friedrichpieter [153] atrocities,rest [153] rest,country [153] country,name [153] supremacy,apparently [153] apparently,fall Top Word Pairs in Tweet in G7:
[114] namo,app [103] angela,merkel [90] india,germany [63] german,chancellor [56] क,ल [55] chancellor,angela [54] pm,modi [52] जर,मन [38] narendra,modi [34] भ,रत Top Word Pairs in Tweet in G8:
[314] کشمیر,کی [314] جرمن,چانسلر [311] #pakistan,#india [309] کی,موجودہ [309] موجودہ,صورتحال [309] صورتحال,اچھی [309] اچھی,نہیں [309] نہیں,زیادہ [309] زیادہ,دیر [309] دیر,ایسے Top Word Pairs in Tweet in G9:
[308] yes,china [308] china,amp [308] amp,india [308] india,massively [308] massively,increased [308] increased,coal [308] coal,power [308] power,over [308] over,last [308] last,10yrs Top Word Pairs in Tweet in G10:
[162] investment,green [162] urban,mobility [162] mobility,sector [161] germany,announces [161] announces,billion [161] billion,investment [161] green,urban [161] sector,india [48] major,share [48] share,200 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: