The graph represents a network of 1,967 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, 31 October 2021 at 01:47 UTC.
The requested start date was Sunday, 31 October 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 7-day, 15-hour, 0-minute period from Saturday, 23 October 2021 at 09:00 UTC to Sunday, 31 October 2021 at 00:01 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 : 1967
Unique Edges : 3308
Edges With Duplicates : 16640
Total Edges : 19948
Number of Edge Types : 5
Mentions : 4124
Retweet : 6133
MentionsInRetweet : 9205
Tweet : 459
Replies to : 27
Self-Loops : 859
Reciprocated Vertex Pair Ratio : 0.0532534246575342
Reciprocated Edge Ratio : 0.101121768818078
Connected Components : 21
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 1925
Maximum Edges in a Connected Component : 19887
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.963628
Graph Density : 0.00159058855655446
Modularity : 0.18613
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,967 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, 31 October 2021 at 01:47 UTC.
The requested start date was Sunday, 31 October 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 7-day, 15-hour, 0-minute period from Saturday, 23 October 2021 at 09:00 UTC to Sunday, 31 October 2021 at 00:01 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:
[2698] #digital,#tech [2631] #datascience,#finserv [2495] #tech,#cloud [2423] #ai,#datascience [2103] #cloud,#ai [1970] #finserv,#machinelearning [1497] #machinelearning,#bigdata [1013] #fintech,#finserv [663] #bigdata,#100daysofcode [463] #finserv,#bigdata Top Word Pairs in Tweet in G1:
[378] #fintech,#finserv [218] #digital,#tech [210] #datascience,#finserv [202] #tech,#cloud [198] #ai,#datascience [183] #finserv,#machinelearning [168] #cloud,#ai [149] #finserv,#insurtech [138] #machinelearning,#bigdata [121] #finserv,#ai Top Word Pairs in Tweet in G2:
[924] #digital,#tech [911] #datascience,#finserv [867] #tech,#cloud [827] #ai,#datascience [733] #cloud,#ai [672] #finserv,#machinelearning [546] #machinelearning,#bigdata [391] #bigdata,#100daysofcode [302] #100daysofcode,#javascript [302] enilev,evasmartai Top Word Pairs in Tweet in G3:
[192] #aml,#crypto [158] #fintech,#finserv [146] #csr,#corpgov [145] #insurtech,#fintech [125] #fintech,#regtech [121] #finserv,#wef [121] #wef,#datagovernance [116] #datagovernance,#futureofwork [116] #futureofwork,#insurtech [114] #corpgov,#aml Top Word Pairs in Tweet in G4:
[1484] #digital,#tech [1440] #datascience,#finserv [1362] #tech,#cloud [1312] #ai,#datascience [1146] #cloud,#ai [1068] #finserv,#machinelearning [770] #machinelearning,#bigdata [285] #bigdata,#100d [241] #finserv,#bigdata [217] #bigdata,#100daysofcode Top Word Pairs in Tweet in G5:
[76] #fintech,#finserv [47] data,fabric [47] fabric,#impact [47] #impact,data [47] data,access [47] access,#financialservices [47] #financialservices,#fintech [46] #fintech,#datafabric [46] spirosmargaris,data [45] #datafabric,#fins Top Word Pairs in Tweet in G6:
[48] fsn,chng [47] fsn,#fusionprotocol [40] #fintech,#finserv [38] chng,#fintech [36] #finserv,#technology [34] #technology,#banking [32] decentralized,escrow [30] #banking,#cybersecurity [27] bag,fsn [27] fsn,fsn Top Word Pairs in Tweet in G7:
[23] #stealth,stealthsend [23] xst,#stealthsend [21] stealthsend,touch [21] touch,people [21] people,lives [21] lives,corner [21] corner,world [21] world,xst [21] #stealthsend,#stealthbank [20] stealthpay,#stealth Top Word Pairs in Tweet in G8:
[29] #fintech,#finserv [25] #marketing,#fintech [24] enricomolinari,dream [24] dream,#vangogh [24] #vr,#ar [24] #edtech,#marketing [24] #finserv,#nft [21] #vangogh,vigilanteartist [21] vigilanteartist,enricomolinari [16] enricomolinari,#ai Top Word Pairs in Tweet in G9:
[11] #digital,#tech [11] #ai,#datascience [11] #datascience,#finserv [10] #tech,#cloud [8] #cloud,#ai [8] #finserv,#machinelearning [7] october,27th [6] #fintech,#finserv [6] digital,engagement [6] #machinelearning,#bigdata Top Word Pairs in Tweet in G10:
[39] #disruption,#blockchain [37] #blockchain,#fintech [34] #fintech,#finserv [29] #banking,#trading [21] #finserv,#vc [21] #vc,#banking [17] #crypto,front [14] #trading,#payment [14] #eth,#bnb [13] #ada,#solana Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: