The graph represents a network of 932 Twitter users whose recent tweets contained "Fintech Trends", 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, 13 July 2021 at 03:05 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 49-minute period from Monday, 05 July 2021 at 00:13 UTC to Tuesday, 13 July 2021 at 03:02 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 : 932
Unique Edges : 4077
Edges With Duplicates : 1001
Total Edges : 5078
Number of Edge Types : 5
Mentions : 553
Tweet : 365
Retweet : 763
MentionsInRetweet : 3387
Replies to : 10
Self-Loops : 383
Reciprocated Vertex Pair Ratio : 0.0504621533849613
Reciprocated Edge Ratio : 0.0960760998810939
Connected Components : 177
Single-Vertex Connected Components : 112
Maximum Vertices in a Connected Component : 567
Maximum Edges in a Connected Component : 4545
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.348356
Graph Density : 0.00484618966176938
Modularity : 0.466215
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 932 Twitter users whose recent tweets contained "Fintech Trends", 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, 13 July 2021 at 03:05 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 49-minute period from Monday, 05 July 2021 at 00:13 UTC to Tuesday, 13 July 2021 at 03:02 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 Trends
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:
[219] #fintech,#trends [212] #trends,#technology [120] fintech,trends [91] #tech,trends [91] #dataanalytics,#fintech [88] trends,changing [86] #iot,#ai [83] radar,map [83] map,emerging [83] emerging,#tech Top Word Pairs in Tweet in G1:
[45] trends,changing [42] fintech,trends [37] changing,banking [37] banking,forever [37] #banking,#fintech [35] deeplearn007,spirosmargaris [35] #insurtech,#fintech [34] #fintech,#insurtech [34] market,development [34] key,players Top Word Pairs in Tweet in G2:
[26] fintech,trends [24] trends,improving [22] better,future [22] future,trends [21] fintech,better [21] improving,financial [20] financial,service [14] trends,changing [14] changing,banking [14] banking,forever Top Word Pairs in Tweet in G3:
[71] #tech,trends [71] #dataanalytics,#fintech [70] radar,map [70] map,emerging [70] emerging,#tech [70] trends,#digital [70] #digital,#iot [70] #iot,#ai [70] #ai,#dataanalytics [70] #fintech,spirosmargaris Top Word Pairs in Tweet in G4:
[201] #fintech,#trends [197] #trends,#technology [25] insider,#fintech [24] fintech,trends [21] #artificialintelligence,#fintech [20] #finserv,#insurtech [19] crowdfund,insider [19] trends,statistics [19] #cybersecurity,#artificialintelligence [19] #fintech,#bigdata Top Word Pairs in Tweet in G5:
[32] #fintech,#finserv [14] gartner_it,enricomolinari [14] #futureofwork,#fintech [14] #finserv,#esg [14] #esg,#marketing [10] #fintech,trends [10] step,survival [10] survival,guide [10] guide,#digitalbanking [10] #digitalbanking,transformation Top Word Pairs in Tweet in G6:
[16] quarterly,report [16] report,provide [16] provide,insights [16] insights,analysis [16] analysis,trends [16] trends,fintech [16] fintech,ecosystem [12] fintech,trends [9] starting,fund [9] episode,hosted Top Word Pairs in Tweet in G7:
[12] future,trends [11] future,hold [11] hold,london [11] london,#fintech [11] #fintech,sector [11] newest,report [11] provides,snapshot [11] snapshot,three [11] three,next [11] next,big Top Word Pairs in Tweet in G8:
[2] stay,top [2] top,industry [2] industry,trends [2] trends,following [2] following,top [2] top,#venturecapital [2] #venturecapital,thought [2] thought,leaders [2] cronycle,#blockchain [2] #blockchain,#fintech Top Word Pairs in Tweet in G9:
[18] 28,speakers [18] speakers,chippercashapp [18] chippercashapp,leafglobaltech [18] leafglobaltech,thedfslab [18] thedfslab,clickpesa [18] clickpesa,join [18] join,sdf [18] sdf,discuss [18] discuss,trends [18] trends,fintech Top Word Pairs in Tweet in G10:
[5] fintech,trends [4] #payments,#fintech [4] study,shows [4] shows,bnpl [4] bnpl,spotlight [4] spotlight,amidst [4] amidst,consumer [4] consumer,payment [4] payment,trends [4] trends,atomesg Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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: