The graph represents a network of 2,695 Twitter users whose recent tweets contained "@enilev", 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 Tuesday, 22 February 2022 at 04:46 UTC.
The tweets in the network were tweeted over the 6-day, 19-hour, 48-minute period from Tuesday, 15 February 2022 at 06:39 UTC to Tuesday, 22 February 2022 at 02:28 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 : 2695
Unique Edges : 35665
Edges With Duplicates : 127186
Total Edges : 162851
Number of Edge Types : 4
MentionsInRetweet : 114786
Mentions : 31313
Retweet : 14405
Replies to : 2347
Self-Loops : 2174
Reciprocated Vertex Pair Ratio : 0.0593039276372277
Reciprocated Edge Ratio : 0.111967729166274
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 2695
Maximum Edges in a Connected Component : 162851
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.155051
Graph Density : 0.00730696814056661
Modularity : 0.15501
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,695 Twitter users whose recent tweets contained "@enilev", 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 Tuesday, 22 February 2022 at 04:46 UTC.
The tweets in the network were tweeted over the 6-day, 19-hour, 48-minute period from Tuesday, 15 February 2022 at 06:39 UTC to Tuesday, 22 February 2022 at 02:28 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 : @enilev
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:
[8572] betamoroney,enilev [8346] #100daysofcode,#javascript [8282] #bigdata,#100daysofcode [8282] #flutter,#linux [8232] #javascript,#flutter [8213] #finserv,#fashiontech [8213] #socialmedia,betamoroney [8212] #women,#ehealth [8210] #fashiontech,#insurtech [8210] #insurtech,#bigdata Top Word Pairs in Tweet in G1:
[2313] betamoroney,enilev [2162] #100daysofcode,#javascript [2150] #bigdata,#100daysofcode [2150] #flutter,#linux [2149] #javascript,#flutter [2137] #finserv,#fashiontech [2137] #fashiontech,#insurtech [2137] #insurtech,#bigdata [2137] #socialmedia,betamoroney [2134] #women,#ehealth Top Word Pairs in Tweet in G2:
[812] margaretsiegien,pawlowskimario [797] #machinelearning,#deeplearning [729] betamoroney,enilev [631] #100daysofcode,#javascript [623] #bigdata,#100daysofcode [623] #flutter,#linux [618] #javascript,#flutter [616] #women,#ehealth [616] #finserv,#fashiontech [616] #fashiontech,#insurtech Top Word Pairs in Tweet in G3:
[5548] #100daysofcode,#javascript [5524] betamoroney,enilev [5504] #bigdata,#100daysofcode [5504] #flutter,#linux [5460] #javascript,#flutter [5457] #women,#ehealth [5455] #finserv,#fashiontech [5455] #socialmedia,betamoroney [5452] #fashiontech,#insurtech [5452] #insurtech,#bigdata Top Word Pairs in Tweet in G4:
[4] ianljones98,nevillegaunt [4] sallyeaves,enilev [4] enilev,khulood_almani [4] khulood_almani,theadityapatro [4] theadityapatro,mj_jasinskii [4] mj_jasinskii,apacentr [4] apacentr,bimedotcom [4] bimedotcom,drsharwood [4] drsharwood,sarbjeetjohal [4] sarbjeetjohal,billmew Top Word Pairs in Tweet in G5:
[9] vanbergheneu,enilev [6] enilev,debashis_dutta [6] debashis_dutta,samiranghosh [5] margaretsiegien,pawlowskimario [5] #fintech,#finserv [4] evasmartai,enilev [4] #machinelearning,#deeplearning [4] kuriharan,carloseresgft [4] carloseresgft,matsgranryd [4] matsgranryd,vanbergheneu Top Word Pairs in Tweet in G7:
[2] #iot,#ai [2] khulood_almani,enilev Top Word Pairs in Tweet in G9:
[13] lusinedigitale,thierry_pires [13] thierry_pires,franckdeo [13] franckdeo,bimedotcom [8] anthonyrochand,labordeolivier [8] labordeolivier,jeromemonange [6] bimedotcom,anthonyrochand [6] jeromemonange,enricomolinari [6] enricomolinari,enilev [6] enilev,shi4tech [5] visé,par Top Word Pairs in Tweet in G10:
[8] #quantumcomputing,platform [8] platform,classiq [8] classiq,secures [8] secures,33m [8] 33m,funding [8] funding,crowdfundinside [8] crowdfundinside,wswmuc [8] wswmuc,shi4tech [8] shi4tech,enilev [8] enilev,digitalogi Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: