The graph represents a network of 16,858 Twitter users whose recent tweets contained "(Madrasa OR Madrasah)", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/31/2024 12:00:00 AM and 2/7/2024 8:39:29 AM. The network was obtained from Twitter on Wednesday, 07 February 2024 at 21:45 UTC.
The tweets in the network were tweeted over the 2124-day, 0-hour, 53-minute period from Sunday, 15 April 2018 at 15:45 UTC to Wednesday, 07 February 2024 at 16:39 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 16858
Unique Edges : 20685
Edges With Duplicates : 1975
Total Edges : 22660
Number of Edge Types : 9
Retweet : 17547
Quote : 192
Tweet : 895
MentionsInRetweet : 1088
Replies to : 1534
MentionsInReplyTo : 1145
Mentions : 176
MentionsInQuote : 57
MentionsInQuoteReply : 26
Self-Loops : 1094
Reciprocated Vertex Pair Ratio : 0.00222749503655997
Reciprocated Edge Ratio : 0.0044450886601923
Connected Components : 892
Single-Vertex Connected Components : 369
Maximum Vertices in a Connected Component : 14586
Maximum Edges in a Connected Component : 19939
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 4.872141
Graph Density : 7.28318033376201E-05
Modularity : 0.710713
NodeXL Version : 1.0.1.528
Data Import : The graph represents a network of 16,858 Twitter users whose recent tweets contained "(Madrasa OR Madrasah)", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/31/2024 12:00:00 AM and 2/7/2024 8:39:29 AM. The network was obtained from Twitter on Wednesday, 07 February 2024 at 21:45 UTC.
The tweets in the network were tweeted over the 2124-day, 0-hour, 53-minute period from Sunday, 15 April 2018 at 15:45 UTC to Wednesday, 07 February 2024 at 16:39 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : (Madrasa OR Madrasah)
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:
[7324] crore,fake [4538] alif,anjuman [4531] anjuman,madrasa [4187] madrasa,demoiished [4185] demoiished,kolhapur [4185] help,three [4185] kolhapur,help [4184] three,jcbs [4027] dumper,fire [4027] jcbs,dumper Top Word Pairs in Tweet in G1:
[2710] anjuman,madrasa [2710] alif,anjuman [2709] help,three [2709] kolhapur,help [2709] three,jcbs [2709] demoiished,kolhapur [2709] madrasa,demoiished [2705] dumper,fire [2705] jcbs,dumper [2703] news,alif Top Word Pairs in Tweet in G2:
[2008] build,babri [2008] temple,build [2008] site,chandranath [2008] occupy,site [1885] chandranath,temple [1885] babri,masjid [1885] masjid,students [1884] students,hathaz [1884] voiceofhindu71,occupy [183] jcbs,dumper Top Word Pairs in Tweet in G3:
[5329] crore,fake [1780] ration,cards [1780] fake,ration [1780] fake,farmers [1780] fake,companies [1780] fake,mnrega [1775] govt,weeded [1775] 86,crore [1775] weeded,86 [1775] lakh,fake Top Word Pairs in Tweet in G4:
[1245] site,chandranath [1245] occupy,site [1245] build,babri [1245] temple,build [1031] hindu,temple [1028] bangladesh,islamists [1028] mosque,islamists [1028] chandranath,hindu [1028] islamists,occupy [1028] babri,mosque Top Word Pairs in Tweet in G5:
[420] old,mosque [388] year,old [362] 600,year [341] alif,anjuman [335] anjuman,madrasa [330] demolished,alif [330] anti,encroachment [330] encroachment,team [329] corporation's,anti [329] controversial,move Top Word Pairs in Tweet in G6:
[1065] ल,कर [1065] छ,त [1065] त,र [1065] एम,सरम [1065] मदरस,छ [1065] ब,ल [1065] स,एम [1065] क,ल [1065] क,य [1065] य,ब Top Word Pairs in Tweet in G7:
[133] crore,fake [55] madrasa,chap [43] 86,crore [42] fake,ration [42] lakh,fake [42] farmers,lakh [42] fake,farmers [41] fake,companies [41] companies,crore [40] ration,cards Top Word Pairs in Tweet in G8:
[470] arif,quariana [470] kabaitri,village [470] quariana,madrasa [470] village,bongaigaon [470] ma,arif [470] markazul,ma [470] located,kabaitri [470] madrasa,located [469] bongaigaon,being [469] assam,markazul Top Word Pairs in Tweet in G9:
[428] ma,arif [428] markazul,ma [426] madrasa,located [426] village,bongaigaon [426] quariana,madrasa [426] located,kabaitri [426] bongaigaon,being [426] assam,markazul [426] arif,quariana [426] kabaitri,village Top Word Pairs in Tweet in G10:
[474] 600,year [474] along,madrasa [474] madrasa,allegedly [474] imam,claims [474] illegally,build [474] allegedly,demolished [474] claims,600 [474] build,masjid [474] year,old [474] demolished,mehrauli Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: