The graph represents a network of 1,699 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 26 September 2021 at 01:53 UTC.
The requested start date was Sunday, 26 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 13-hour, 29-minute period from Sunday, 19 September 2021 at 20:49 UTC to Friday, 24 September 2021 at 10:18 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 : 1699
Unique Edges : 3079
Edges With Duplicates : 22371
Total Edges : 25450
Number of Edge Types : 5
MentionsInRetweet : 15457
Mentions : 3111
Retweet : 6527
Replies to : 28
Tweet : 327
Self-Loops : 593
Reciprocated Vertex Pair Ratio : 0.0530841121495327
Reciprocated Edge Ratio : 0.1008164714235
Connected Components : 26
Single-Vertex Connected Components : 12
Maximum Vertices in a Connected Component : 1643
Maximum Edges in a Connected Component : 25382
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.893103
Graph Density : 0.00195292595727689
Modularity : 0.149084
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,699 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 26 September 2021 at 01:53 UTC.
The requested start date was Sunday, 26 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 13-hour, 29-minute period from Sunday, 19 September 2021 at 20:49 UTC to Friday, 24 September 2021 at 10:18 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 : GraphServerTwitterSearch
Graph Term : #FinServ
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:
[2278] #socialmedia,#100daysofcode [1859] #100daysofcode,#bigdata [1778] enilev,betamoroney [1279] #bigdata,#womenwhocode [1008] #womenwhocode,#python [975] #tech,#cloud [951] betamoroney,#socialmedia [921] #digital,#tech [875] #cloud,#ai [759] #ai,#datascience Top Word Pairs in Tweet in G1:
[233] #fintech,#finserv [90] enricomolinari,#fintech [82] #finserv,#insurtech [70] #finserv,#marketing [54] #ai,#iot [52] #marketing,#insurtech [42] #proptech,#regtech [38] enricomolinari,#cybersecurity [38] #ai,#fintech [36] #regtech,#payments Top Word Pairs in Tweet in G2:
[236] #fintech,#finserv [120] #finserv,#banking [69] #fintech,#banking [55] #banking,#fintech [51] #innovation,#fintech [44] #fintech,#insurtech [38] #finserv,#payments [36] open,banking [34] #insurtech,#startup [34] #startup,#innovation Top Word Pairs in Tweet in G3:
[2206] #socialmedia,#100daysofcode [1799] #100daysofcode,#bigdata [1736] enilev,betamoroney [1228] #bigdata,#womenwhocode [969] #womenwhocode,#python [953] #tech,#cloud [926] betamoroney,#socialmedia [899] #digital,#tech [854] #cloud,#ai [743] #ai,#datascience Top Word Pairs in Tweet in G4:
[83] #finserv,#insurtech [81] #legaltech,#corpgov [76] #fintech,#finserv [75] #futureofwork,#csr [71] #corpgov,#digitaltransformation [71] #digitaltransformation,#futureofwork [64] #insurtech,#legaltech [61] #csr,#esg [50] #esg,#banking [48] martinhoyes,#regtech Top Word Pairs in Tweet in G5:
[31] #finserv,#opensource [26] #ossflondon,#finserv [26] finos,platinum [26] platinum,member [25] open,source [22] finosfoundation,join [20] #opensource,#financialservices [20] #financialservices,#fintech [20] #fintech,linuxfoundation [20] linuxfoundation,finos Top Word Pairs in Tweet in G6:
[27] #fintech,#finserv [17] #disruption,#blockchain [16] #blockchain,#fintech [15] #banking,#trading [8] #solana,#avax [7] #finserv,#vc [7] #vc,#banking [6] #ada,#bnb [6] reading,jpnicols [6] jpnicols,newsfeed Top Word Pairs in Tweet in G7:
[7] #lhoft,member [5] money20,20 [5] 20,2021 [5] 2021,#lhoft's [5] #lhoft's,naszub [5] naszub,moderate [5] moderate,panel [5] panel,wednesday [5] wednesday,22nd [5] 22nd,nigelverdon Top Word Pairs in Tweet in G8:
[5] looking,forward [5] wkb_mc,marktibergien [4] second,episode [3] truly,looking [3] forward,joining [3] joining,colleagues [3] colleagues,friends [3] friends,wkb_mc [3] marktibergien,friday [3] friday,morning Top Word Pairs in Tweet in G9:
[10] jimcramer,told [10] told,vladtenev [10] vladtenev,call [10] call,benioff [6] #didyouknow,jimcramer [6] benioff,talking [6] talking,time [6] time,innovation [5] lzaledonis,#didyouknow [5] innovation,dreamforc Top Word Pairs in Tweet in G10:
[4] robotic,process [2] free,10 [2] 10,minute [2] minute,read [2] read,look [2] look,practical [2] practical,role [2] role,robotic [2] process,automation [2] #finserv,#fintech 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 G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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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: