The graph represents a network of 7,992 Twitter users whose tweets in the requested range contained "market research", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 29 July 2022 at 12:13 UTC.
The requested start date was Friday, 29 July 2022 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 2-day, 10-hour, 30-minute period from Tuesday, 26 July 2022 at 08:17 UTC to Thursday, 28 July 2022 at 18:47 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 : 7992
Unique Edges : 4621
Edges With Duplicates : 8361
Total Edges : 12982
Number of Edge Types : 5
Retweet : 3317
MentionsInRetweet : 4025
Tweet : 2913
Replies to : 701
Mentions : 2026
Self-Loops : 2975
Reciprocated Vertex Pair Ratio : 0.0123754419800707
Reciprocated Edge Ratio : 0.0244483251309732
Connected Components : 2577
Single-Vertex Connected Components : 1401
Maximum Vertices in a Connected Component : 669
Maximum Edges in a Connected Component : 1519
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.403466
Graph Density : 9.86313556705247E-05
Modularity : 0.547205
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,992 Twitter users whose tweets in the requested range contained "market research", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 29 July 2022 at 12:13 UTC.
The requested start date was Friday, 29 July 2022 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 2-day, 10-hour, 30-minute period from Tuesday, 26 July 2022 at 08:17 UTC to Thursday, 28 July 2022 at 18:47 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 : market research
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 URLs in Tweet in Entire Graph:
[218] https://earnisland.co [34] https://nftgo.io/research/How-Is-the-Market-Reacting-to-NFT-Airdrops+vE9kDHbhYqoXT3EYCoWn-inVF2miOKjJpaedI7C0uG8 [31] https://121g.fund/ [22] https://www.marketwatch.com/story/research-shows-coronavirus-pandemic-originated-in-wuhan-wet-market-and-not-from-a-chinese-lab-11658930569 [20] https://edition.cnn.com/2022/07/26/health/wuhan-market-covid-19/index.html [19] https://bitcoin.com:443/ [18] https://cointelegraph.com/news/crypto-atm-market-value-to-hit-472-million-by-2027-per-new-data [14] https://www.competentfieldwork.com/ [13] https://www.researchandmarkets.com/ [12] https://nftgo.io/research/How-Whales-Buy%C2%A0the-Bottom-of-a-Market-Crash+0ozE6rvaEv21FYrn2ztnKnZhwxqhrCczJJd1tYQiA08 Top URLs in Tweet in G1:
[20] https://edition.cnn.com/2022/07/26/health/wuhan-market-covid-19/index.html [15] https://www.marketwatch.com/story/research-shows-coronavirus-pandemic-originated-in-wuhan-wet-market-and-not-from-a-chinese-lab-11658930569 [12] https://www.researchandmarkets.com/ [9] https://investing.com/ [7] https://cointelegraph.com/news/crypto-atm-market-value-to-hit-472-million-by-2027-per-new-data [6] https://www.cnn.com/2022/07/26/health/wuhan-market-covid-19/index.html [5] https://twitter.com/angie_rasmussen/status/1551937826580824070 [5] https://maggnetsolutions.net/ [4] https://news.bitcoin.com/nft-market-projected-to-reach-200-billion-in-2030/ [4] https://www.mindinventory.com/blog/mobile-app-market-research/ Top URLs in Tweet in G2:
[1] https://forms.gle/KeQqNUUtwimZNKtk8 Top URLs in Tweet in G4:
[14] https://www.competentfieldwork.com/ [6] https://www.cnn.com/2022/07/27/china/china-cdc-director-george-gao-fu-covid-intl-hnk-mic/index.html [4] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fthelancet.com%2Farticle%2FS0140-6736%2820%2930183-5%2Ffulltext&rc=0 [3] https://www.competentfieldwork.com/index.php/2022/06/29/artificial-intelligence-ai-technology/ [2] https://www.vubblepop.com/share?v=compelling-new-evidence-tracks-covids-origin-to-wuhan-market&r=https://embed.vubblepop.com/feeds/vubbledemo.html [1] https://www.telegraphindia.com/world/new-research-offers-compelling-evidence-that-pandemic-originated-in-wuhan-market/cid/1876959?utm_source=twitter&utm_medium=social&utm_campaign=tt_daily_twit [1] https://www.science.org/doi/10.1126/science.abp8715 [1] https://cpanel.competentfieldwork.com/ [1] https://twitter.com/angie_rasmussen/status/1551972251121205248 [1] https://www.thelancet.com/article/S0140-6736(20)30183-5/fulltext Top URLs in Tweet in G5:
[218] https://earnisland.co [1] https://www.trustpilot.com/review/earnisland.co Top URLs in Tweet in G6:
[2] https://www.independentsciencenews.org/commentaries/delete-deny-and-destroy-chinese-and-western-strategies-to-erase-covids-origin-are-being-exposed-by-independent-research/ [2] https://www.science.org/doi/10.1126/science.abp8715 [1] https://www.science.org/doi/10.1126/science.abp8715?utm_campaign=SciMag&utm_source=Social&utm_medium=Twitter [1] https://www.google.com/maps/dir/Huanan+Seafood+Market,+207+Fa+Zhan+Da+Dao,+Jianghan+District,+Wuhan,+Hubei,+China,+430032/Wuhan+Institute+of+Virology,+CAS:+Hubei+Engineering+and+Technology+Research+Center+for+Viral+Diseases,+%E5%B0%8F%E6%B4%AA%E5%B1%B1%E4%B8%AD%E5%8C%BA+Wuchang+District,+Wuhan,+Hubei,+China/@30.5855089,114.2440356,12z/data=!3m1!4b1!4m13!4m12!1m5!1m1!1s0x342eaeb553b58fd7:0x355ff7d1fe8e8fb7!2m2!1d114.2622935!2d30.6165888!1m5!1m1!1s0x342ea56945e84d71:0x402ec92fd18fef96!2m2!1d114.3508524!2d30.5391912 [1] https://www.sciencedirect.com/science/article/pii/S0013935122010295 [1] https://maps.google.com/?geocode=Fbf90QEdBNvQBilxTehFaaUuNDGW74_RL8kuQA%3D%3D;FQ0s0wEdFoHPBinXj7VTta4uNDG3j47-0fdfNQ%3D%3D&daddr=Huanan+Seafood+Market,+207+Fa+Zhan+Da+Dao,+Jianghan+District,+Wuhan,+Hubei,+China,+430032&saddr=Wuhan+Institute+of+Virology,+CAS:+Hubei+Engineering+and+Technology+Research+Center+for+Viral+Diseases,+%E5%B0%8F%E6%B4%AA%E5%B1%B1%E4%B8%AD%E5%8C%BA+Wuchang+District,+Wuhan,+Hubei,+China&dirflg=d&ftid=0x342ea56945e84d71:0x402ec92fd18fef96;0x342eaeb553b58fd7:0x355ff7d1fe8e8fb7&g_ep=CAIYAA%3D%3D&shorturl=1 [1] https://maps.google.com/?geocode=Fbf90QEdBNvQBilxTehFaaUuNDGW74_RL8kuQA%3D%3D;FQ0s0wEdFoHPBinXj7VTta4uNDG3j47-0fdfNQ%3D%3D&daddr=Huanan+Seafood+Market,+207+Fa+Zhan+Da+Dao,+Jianghan+District,+Wuhan,+Hubei,+China,+430032&saddr=Wuhan+Institute+of+Virology,+CAS:+Hubei+Engineering+and+Technology+Research+Center+for+Viral+Diseases,+%E5%B0%8F%E6%B4%AA%E5%B1%B1%E4%B8%AD%E5%8C%BA+Wuchang+District,+Wuhan,+Hubei,+China&dirflg=w&ftid=0x342ea56945e84d71:0x402ec92fd18fef96;0x342eaeb553b58fd7:0x355ff7d1fe8e8fb7&g_ep=CAIYAA%3D%3D&shorturl=1 [1] https://www.ox.ac.uk/news/science-blog/wet-market-sources-covid-19-bats-and-pangolins-have-alibi [1] https://www.cnn.com/2022/07/27/china/china-cdc-director-george-gao-fu-covid-intl-hnk-mic/index.html [1] https://www.bbc.co.uk/news/science-environment-62307383 Top URLs in Tweet in G8:
[1] https://twitter.com/mosseri/status/1551890839584088065 Top URLs in Tweet in G9:
[1] https://www.counterpointresearch.com/smartphone-rffe-market-q1-2022/ [1] https://www.kantar.com/campaigns/pf/survey-design-training-modules/how-to-create-a-questionnaire?utm_campaign=2022%20Engaging%20Online%20Respondents&utm_source=linkedin&utm_medium=social&utm_content=questionnaire%20module%20HQ [1] https://www.kantar.com/campaigns/pf/survey-design-training-modules/how-to-create-a-questionnaire [1] https://www.kantar.com/campaigns/accelerated-answers-pf?utm_campaign=2022%20Accelerated%20Answers&utm_source=linkedin&utm_medium=social&utm_content=AA%20HQ [1] https://soundcloud.com/kmcradio/20220725-the-stock-pickers-market?in=kmcradio/sets/radio-night-live-weeknight [1] https://futurumresearch.com/research-notes/ibm-q2-2022-revenue-up-9-to-15-5b-amid-financial-headwinds/?utm_source=rss&utm_medium=rss&utm_campaign=ibm-q2-2022-revenue-up-9-to-15-5b-amid-financial-headwinds [1] https://futurumresearch.com/research-notes/saps-q2-2022-cloud-revenue-increased-34-yoy-to-3-1b/?utm_source=rss&utm_medium=rss&utm_campaign=saps-q2-2022-cloud-revenue-increased-34-yoy-to-3-1b [1] https://www.brookings.edu/research/making-apartments-more-affordable-starts-with-understanding-the-costs-of-building-them/ Top URLs in Tweet in G10:
[6] https://www.youtube.com/watch?v=Y6yeKSQpOpU Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2096] market,research [317] 800,usdt [316] market,prediction [314] brand,survey [314] survey,#answer [314] #answer,first [314] first,reaction [314] reaction,#brand [314] #brand,research [314] research,#bull Top Word Pairs in Tweet in G1:
[649] market,research [208] research,report [195] market,size [117] market,report [114] report,2022 [104] business,research [96] research,company [95] global,market [94] covid,19 [68] market,2022 Top Word Pairs in Tweet in G2:
[317] 800,usdt [314] brand,survey [314] survey,#answer [314] #answer,first [314] first,reaction [314] reaction,#brand [314] #brand,research [314] research,#bull [314] #bull,market [314] market,prediction Top Word Pairs in Tweet in G3:
[232] rotashield,brought [232] brought,market [232] market,20 [232] 20,years [232] years,research [232] research,safety [232] safety,issues [232] issues,seen [232] seen,before [232] before,released Top Word Pairs in Tweet in G4:
[81] we've,answered [81] answered,big [81] big,one [81] one,pandemic [81] pandemic,began [81] began,zoonotic [81] zoonotic,spillovers [81] spillovers,animals [81] animals,sold [79] angie_rasmussen,we've Top Word Pairs in Tweet in G5:
[224] earnisland,fastest [224] fastest,growing [224] growing,market [224] market,research [224] research,network [222] earnisland,earnisland [222] network,paid [222] paid,using [221] using,social [220] social,media Top Word Pairs in Tweet in G6:
[83] congrats,authors [83] authors,research [83] research,article [83] article,published [83] published,today [83] today,sciencemagazine [83] sciencemagazine,proving [83] proving,already [83] already,knew [83] knew,huanan Top Word Pairs in Tweet in G7:
[102] hey,guys [102] guys,taken [102] taken,upon [102] upon,self [102] self,research [102] research,innovative [102] innovative,project [102] project,currently [102] currently,building [102] building,bear Top Word Pairs in Tweet in G8:
[93] market,research [85] mosseri,few [85] few,million [85] million,dollars [85] dollars,market [85] research,bombarded [85] bombarded,strangers [85] strangers,videos [85] videos,suggested [84] bessbell,mosseri Top Word Pairs in Tweet in G9:
[10] market,research [5] arm,qualcomm [5] qualcomm,cray_inc [5] cray_inc,samsung [5] samsung,ibm [5] ibm,counterpointtr [5] counterpointtr,apple [5] apple,onsemi [5] onsemi,globalfoundries [5] globalfoundries,twsemicon Top Word Pairs in Tweet in G10:
[25] hello,students [25] students,job [25] job,market [25] market,many [25] many,advisors [25] advisors,think [25] think,liberal [25] liberal,arts [25] arts,colleges [25] colleges,good 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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