The graph represents a network of 6,865 Twitter users whose recent tweets contained "fintech", 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 Monday, 13 June 2022 at 09:58 UTC.
The tweets in the network were tweeted over the 1-day, 13-hour, 8-minute period from Saturday, 11 June 2022 at 17:08 UTC to Monday, 13 June 2022 at 06:17 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.
Vertices : 6865
Unique Edges : 17479
Edges With Duplicates : 23657
Total Edges : 41136
Number of Edge Types : 5
Retweet : 10723
Mentions : 4823
Tweet : 6483
MentionsInRetweet : 17692
Replies to : 1415
Self-Loops : 6722
Reciprocated Vertex Pair Ratio : 0.0338746637441467
Reciprocated Edge Ratio : 0.0655295364748964
Connected Components : 1165
Single-Vertex Connected Components : 646
Maximum Vertices in a Connected Component : 4368
Maximum Edges in a Connected Component : 37911
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.436007
Graph Density : 0.000440437203000932
Modularity : 0.370991
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,865 Twitter users whose recent tweets contained "fintech", 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 Monday, 13 June 2022 at 09:58 UTC.
The tweets in the network were tweeted over the 1-day, 13-hour, 8-minute period from Saturday, 11 June 2022 at 17:08 UTC to Monday, 13 June 2022 at 06:17 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 : fintech
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:
[3914] #fintech,#blockchain [3695] #blockchain,#crypto [3618] #cardano,ada [3618] ada,whale [3618] whale,laced [3618] laced,transaction [3618] transaction,output [3618] usd,tx [3618] tx,info [3618] info,support Top Word Pairs in Tweet in G1:
[378] #fintech,#finserv [365] #datascience,#bigdata [287] #bigdata,#analytics [278] #coding,#100daysofcode [273] #python,#flutter [213] #digital,#python [187] #machinelearning,#deeplearning [178] #innovation,#datascience [172] #flutter,#javascript [169] #bot,#womeninstem Top Word Pairs in Tweet in G2:
[2801] #fintech,#insurtech [2493] #javascript,#reactjs [2436] #datavis,#infosec [2351] #infosec,#devops [2217] #wordpress,#security [2190] #flutter,#html [2187] #mlops,#flutter [2170] #reactjs,#wordpress [2168] #iot,#iiot [2124] #html,#azure Top Word Pairs in Tweet in G3:
[47] coinpedia,fintech [42] fintech,company [39] news,media [38] fintech,cryptocurreny [38] cryptocurreny,news [28] remessa,online [27] #blockchain,#cryptocurrency [26] cross,border [25] border,payments [24] fintech,startups Top Word Pairs in Tweet in G4:
[110] #datascience,#bigdata [107] chipper,cash [102] fintech,startup [101] #coding,#100daysofcode [100] cash,fintech [100] startup,raised [100] raised,300 [100] 300,million [100] million,roster [100] roster,blue Top Word Pairs in Tweet in G5:
[337] remessa,online [337] online,brazilian [337] brazilian,fintech [337] fintech,company [337] company,announced [337] announced,#ripple [337] #ripple,#modulr [337] #modulr,cross [337] cross,border [337] border,payments Top Word Pairs in Tweet in G6:
[45] #business,#startup [44] #startup,#smallbiz [44] #smallbiz,#finance [44] #finance,#entrepreneur [43] #entrepreneur,#startups [43] #startups,#fintech [39] #fintech,#sales [39] #sales,#marketing [26] #blockchain,#cryptocurrency [22] #metaplefinance,#metaple Top Word Pairs in Tweet in G7:
[3516] #cardano,ada [3516] ada,whale [3516] whale,laced [3516] laced,transaction [3516] transaction,output [3516] usd,tx [3516] tx,info [3516] info,support [3516] support,stake [3516] stake,peace Top Word Pairs in Tweet in G8:
[78] startup,idea [78] idea,app [78] app,tells [78] tells,fintech [78] fintech,access [78] access,kyc [78] kyc,information [78] information,alerts [78] alerts,time [78] time,aadhaar Top Word Pairs in Tweet in G9:
[25] imf,released [25] released,data [25] data,fintech [25] fintech,ripple [25] ripple,stellar [25] stellar,pretty [25] pretty,dlt [25] dlt,companies [25] companies,agg [25] agg,worry Top Word Pairs in Tweet in G10:
[77] #tweeting,#asia [77] #asia,meets [77] meets,#america [77] #america,#finance [77] #finance,#fintech [77] #fintech,#ai [77] #ai,#asean [77] #asean,#esg [77] #esg,#underdogs [77] #underdogs,#stopasianhate Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G9:
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: