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I have a weakened immune system. Do I need a third dose of the #COVID19 vaccine? Find out the answer to this question and more at our Coronavirus Resource Center: https://t.co/for42UXQBq #HarvardHealth https://t.co/Xf7noaewfH https://twitter.com/HarvardHealth/status/1429428152221245443

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2,633,855 people in Scotland have been tested for #coronavirus The total confirmed as positive has risen by 3,190 to 383,403 The number of deaths of people who tested positive remains at 8,070. Latest update ➡️ https://t.co/bZPbrCoQux Health advice ➡️ https://t.co/l7rqArB6Qu https://t.co/QJsrS9qHfv https://twitter.com/scotgov/status/1429428367758082057

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Pointing to that 16pt-drop for Biden on his coronavirus handling, NBC's bipartisan team of pollsters say Covid -- more than Afghanistan -- has dented the president's numbers. https://twitter.com/mmurraypolitics/status/1429428649162428417

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COVID outbreaks in southern Oregon among nation’s worst. What life’s like amid crisis https://t.co/OubVdahBOj https://t.co/XCkIEIpVh7 https://twitter.com/Oregonian/status/1429429635507490821

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The Chief Commissioner of Victoria Police said yesterday's anti-lockdown protests in Melbourne's CBD were among the most violent he has seen in two decades. #9News https://t.co/OuKhouJerQ https://twitter.com/9NewsAUS/status/1429430906385846278

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Children who are 3 or younger are less likely to bring the coronavirus into their homes than teenagers are — but when they are infected, they are more likely to spread the virus to household contacts, according to a large new study. https://t.co/YGradyJcv3 https://twitter.com/NYTScience/status/1429431905041190920

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"Hell No": Correctional Officers Are Declining The Coronavirus Vaccine En Masse https://t.co/vhNAEsL9dX https://twitter.com/MarshallProj/status/1429433071263178757

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Valentine was an outspoken skeptic of coronavirus vaccines, saying he had a low risk of catching the virus. https://t.co/rPnUqezotS https://twitter.com/HuffPost/status/1429445097796644871

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The British government is starting an antibody surveillance program for adults who test positive for the coronavirus in order to develop a better understanding of its vaccine campaign and the immune response to different virus variants. https://t.co/gcX6dGTzD3 https://twitter.com/nytimes/status/1429450839719043074

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A few years ago, Virginia had a staggering eviction rate. A 2018 report ranked five Virginia cities in the national top 10 for ousting renters. That negative publicity help put the state on a path to stronger tenant protections and falling evictions. https://t.co/BSGUUrwTuz https://twitter.com/AP/status/1429453586740695040

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Amazing 3D images show the coronavirus infecting human airway cells https://t.co/as4D52DGxg https://twitter.com/newscientist/status/1429457202469908488

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Covid19 Assembly, an anti-lockdown lobby group, has organised a powerful letter signed by 133 doctors, nurses, paramedics and midwives challenging the thinking behind the Government's response to the coronavirus crisis. https://t.co/uGuAo2NxZn https://twitter.com/toadmeister/status/1429457293939298305

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Official figures show the UK has recorded 32,253 positive coronavirus cases and 49 further deaths in the latest 24-hour period For more on this and other news visit https://t.co/8OWd2TvLrt https://twitter.com/SkyNewsBreak/status/1429459422435319813

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The FDA is expected to grant full approval to Pfizer's coronavirus vaccine this coming week. It'd be the first COVID shot to receive full authorization from the federal government. https://t.co/BhbGXiVFST https://twitter.com/axios/status/1429460378136743942

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The #COVID19 Dashboard has been updated: https://t.co/XhspoyTG79 On Sunday 22 August, 32,253 new cases and 49 deaths within 28 days of a positive test were reported across the UK. 47,643,064 people have received the 1st dose of a vaccine 41,688,636 have received a 2nd dose https://t.co/KdSr7y352Y https://twitter.com/PHE_uk/status/1429463483188404230

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BREAKING: Official figures show the UK has recorded 32,253 positive coronavirus cases and 49 further deaths in the latest 24-hour period. More on #COVID19: https://t.co/GDjb1JRxTd https://t.co/kRoFF17tia https://twitter.com/SkyNews/status/1429465705389383683

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🦠 The Delta variant is an ugraded, highly transmissable version of the original coronavirus. 🇩🇪 Germany mandates medical masks indoors. 🇫🇷 France recommends medical masks indoors. 🇺🇸The US has not done either. Per the CDC, homemade & cloth masks are still sufficient. https://twitter.com/kniggem/status/1429467746014728201

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People under 50 in the US have lower vaccination rates—and the highest rate of hospitalization since the pandemic began. Vaccination dramatically reduces your risk of hospitalization and death. https://t.co/GizJplb6Bx https://twitter.com/DrTomFrieden/status/1429470090366443520

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St Vincent’s hospital in Dublin is admitting a "worrying” number of double-vaccinated patients for treatment for Covid-19, emergency department head Professor John Ryan has said. https://t.co/fJWwebhVDH https://twitter.com/Independent_ie/status/1429473696742354947

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A pregnant Texas woman who was waiting to get the COVID-19 vaccine until after she delivered died before she could ever hold her daughter. https://t.co/Z9ERI2NrIE https://twitter.com/cbsaustin/status/1429475967735566341

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Governor Greg Abbott of Texas has tested negative for the coronavirus, four days after testing positive. He said he will continue to quarantine. In a video posted on Twitter, Abbott, 63, credited vaccines with protecting him from serious illness. https://t.co/cqp6U2TD4m https://twitter.com/nytimes/status/1429477771110146049

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None of the people telling you to worry about coronavirus are actually worried about coronavirus. https://t.co/KaRubnwxFn https://twitter.com/JesseKellyDC/status/1429481891862822919

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I’ve long compared Facebook to Big Tobacco and here’s the latest parallel: Facebook knew internally that it was facilitating the deaths of thousands of people through misinformation, and not only did nothing about it, but withheld its knowledge from public https://t.co/t6EZdudeNw https://twitter.com/AshaRangappa_/status/1429609283788832768

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This is a bat… a bat brain being infiltrated by the coronavirus. Don’t let this be you. #COVID19 https://t.co/5yLdFv9Z9W https://twitter.com/DrEricDing/status/1429640312004268032

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Breaking: GRAND RAPIDS, Mich. (AP) -- Man upset over coronavirus restrictions is sentenced to 6 1/4 years in prison for plotting to kidnap Michigan governor. https://twitter.com/kylegriffin1/status/1430638614115880965

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America's intelligence community gave a classified report to President Biden on Tuesday that was "inconclusive about the origins of the novel coronavirus." Do you know what that means? It means that pro-China elements are in charge of America's intelligence community. https://twitter.com/EmeraldRobinson/status/1430944739315097606

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BREAKING: "Florida has reported 27,584 new coronavirus cases, the biggest one-day increase on record." https://twitter.com/donwinslow/status/1431346820773416964

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Caleb Wallace, a leader in the anti-mask movement in central Texas, became infected with the coronavirus and has been lying in an intensive care unit for the past three weeks, clinging to life, his wife Jessica said on social media. https://t.co/tDn8Cz1Yo6 https://twitter.com/nytimes/status/1431421299407130631

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HIGHEST SINGLE-DAY TALLY The Philippines logs 19,441 additional coronavirus infections on Saturday, August 28. Total now at 1,935,700, with 142,679 active cases 167 new deaths; 33,008 total 19,191 new recoveries; 1,760,013 total More #COVID19 updates: https://t.co/bZOTCmUT3e https://t.co/YrVyESn2dW https://twitter.com/ABSCBNNews/status/1431526972098682885

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PM Modi motivated scientists, doctors to conduct medical research which led to development of anti-coronavirus vaccine in India: Union minister Virendra Kumar Khatik https://twitter.com/PTI_News/status/1431566049539870720

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U.S. spy agencies rule out possibility the coronavirus was created as a bioweapon, say origin will stay unknown without China’s help https://t.co/x0SOkN5DqN https://twitter.com/washingtonpost/status/1431572298490949633

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The United States is now reporting 156,242 new coronavirus cases per day, the highest seven-day average since January 29, according to data from @CNN and Johns Hopkins University. https://twitter.com/ryanstruyk/status/1431591569048604674

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NY Gov. Hochul acknowledged that the state has roughly 12,000 more coronavirus-related fatalities than the Cuomo administration admitted. https://t.co/ywzUpPj7Vv https://twitter.com/BreitbartNews/status/1431597259242852356

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Britain has entered a strange new phase of the pandemic: The public has moved on, even if the virus has not. https://t.co/oJNxcLToRb https://twitter.com/nytimes/status/1431597452134686727

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A California psychiatrist who has advised Gov. Ron DeSantis on the coronavirus pandemic recently promoted a drug for COVID-19 patients that federal disease experts have strongly warned against after a spike in calls to poison control centers. https://t.co/pF4xxS9p6J https://twitter.com/joncoopertweets/status/1431599158796881920

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The risk of heart inflammation is higher after coronavirus infection than after vaccination, according to a large new study. https://t.co/x44EfaTWyC https://twitter.com/NYTHealth/status/1431607083884023809

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Caleb Wallace, a leader in the anti-mask movement in central Texas, became infected with the coronavirus and has been lying in an intensive care unit for the past three weeks, clinging to life, his wife Jessica said on social media. https://t.co/LAbbVvCFeA https://twitter.com/nytimes/status/1431607512038531072

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In May, a California elementary school teacher, who was not vaccinated against the coronavirus, began feeling fatigued with nasal congestion. She powered through and took her mask off to read aloud. Two days later, half her class of 24 had been infected. https://t.co/6EplH1wgRD https://twitter.com/washingtonpost/status/1431628162102972417

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Rumbles from the Sturgis Motorcycle Rally have hardly cleared from the Black Hills of South Dakota, and the reports of COVID-19 infections are streaming in. Meade County, epicenter of the rally, now has a rate similar to the hardest-hit Southern states. https://t.co/AJlyO2R8kJ https://twitter.com/AP/status/1431640487136481291

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None of the people telling you to worry about coronavirus are actually worried about coronavirus. https://t.co/2snDAxsaE9 https://twitter.com/JesseKellyDC/status/1431645135805292544

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BIG new Israeli study: Natural immunity "offers considerably more of a shield against the Delta variant of the pandemic coronavirus than two doses of the Pfizer-BioNTech vaccine" https://t.co/TO1bb2DSUe Affirms what i've been saying for a year in 5 opeds https://t.co/Fi5fg3RtTe https://twitter.com/MartyMakary/status/1431647330407702536

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Lot of reasons, but I would have to say the biggest is the ongoing coronavirus pandemic. https://t.co/zrNYa9qGW3 https://twitter.com/GraceOnFootball/status/1431691657322323974

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During Covid, spare a thought for our leaders' mental health. My piece in today's @SundayStarTimes @NZStuff. https://t.co/mP6Jdgbs3c https://twitter.com/jehancasinader/status/1431701615719772162

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.@PatriciaMazzei @benjmueller @gebeloffnyt missed the big "tell" in @GovRonDeSantis' comments: "'...but we’re not building the herd immunity that people hoped,' Mr. DeSantis said." 1/ https://t.co/PThTCfyI8e https://twitter.com/gregggonsalves/status/1431704421667385345

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not one DeSantis critic is quoted, as NYT completely soft peddles his near-criminal handling of pandemic this yr. this continues the paper’s tradition of playing nice w/ DeSantis during Covid; https://t.co/GGu30j56p0 https://twitter.com/EricBoehlert/status/1431707151827980293

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A store doing more than some governors. "In order to combat the skyrocketing coronavirus cases, particularly in the South, Walmart is temporarily closing some locations in order to do some deep cleaning." https://twitter.com/EricG1247/status/1431738812665794561

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Reported yesterday: 92 new local cases and 1 new case acquired overseas (currently in HQ). - 31,436 vaccine doses were administered - 51,030 test results were received More later: https://t.co/lIUrl1hf3W #COVID19Vic #COVID19VicData [1/2] https://t.co/AJHvafjSxh https://twitter.com/VicGovDH/status/1431745032483004421

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A silent majority of American workers do want to get back to the office, at least for a few days a week. As coronavirus cases rise and companies keep workplaces closed, these frustrated employees can’t wait to return to their cubicles. https://t.co/ele90OIqRB https://twitter.com/nytimes/status/1431768622339444740

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"Dear Lord, just watch over us." Hurricane Ida is poised to strike coastal Louisiana, precisely 16 years after Hurricane Katrina's devastating winds and floodwaters hit New Orleans and other Gulf communities. https://t.co/Hp8KAff78v https://twitter.com/AP/status/1431770613258063878

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You hold critical information on the coronavirus origins yet continue to hinder the global investigation, resist sharing information and blame other countries including America. https://t.co/jdVaRXVEwQ https://twitter.com/HillelNeuer/status/1431770936022339594

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More than 121,000 child COVID19 cases were reported in the US in the last week, according to the American Academy of Pediatrics. We are seeing the horrible consequences on failed state and federal leadership and our children are paying the price. https://t.co/RF9Qemqdqk https://twitter.com/uche_blackstock/status/1431771921625010176

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I have felt angry, sad, frustrated, resentful and anxious while being trapped in Sydney for this coronavirus outbreak but watching Premier @GladysB go full Pollyanna in her presser on the day infections went over 1200, I am now genuinely *afraid* of the virus. #auspol #nswpol https://twitter.com/vanbadham/status/1431803378154102784

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Caleb Wallace, a leader of the anti-mask movement in central Texas, has died after being infected with the coronavirus and spending three weeks in the ICU, his wife, Jessica, said on Saturday. He was 30. https://t.co/ttNmn2yy2b https://twitter.com/nytimes/status/1431951202405830663

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Horror in Florida: 14 portable refrigerated morgues are headed to Central Florida to help beleaguered hospitals store bodies. "The number of deaths right now is unprecedented." COVID is unquestionably the "precipitating event." https://t.co/rqGOzf9eOe https://twitter.com/kylegriffin1/status/1431964857402896385

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Caleb Wallace, a leader of the anti-mask movement in central Texas, has died of coronavirus, his wife says - NYT https://t.co/dVHZbO7Nc3 https://twitter.com/BNODesk/status/1431968501661581318

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AP: The U.S. is projected to suffer nearly 100,000 more COVID deaths between now and Dec. 1 https://t.co/tThZNUS4mt https://twitter.com/JesseRodriguez/status/1431978685045878785

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Anti-government protesters escape from a police water cannon with purple dye and tear gas during a protest against the government's handling of the coronavirus disease (COVID-19) pandemic in Din Daeng district Bangkok, Thailand, August 29, 2021. REUTERS/Cory Wright #ม็อบ29สิงหา https://t.co/rk7IB5lqts https://twitter.com/jgesilva/status/1431992681547190274

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A Texas man who led efforts against mask wearing and other coronavirus prevention measures has died from COVID-19. Caleb Wallace was 30 years old and a father of three children, with a fourth on the way. https://t.co/k9nFMAuSs1 https://twitter.com/AP/status/1432009693522808843

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A Texas anti-mask organizer has died from COVID: A leader of the anti-mask movement in central Texas who became infected with the coronavirus and spent three weeks in an intensive care unit has died. https://t.co/ZjzjmK7XHG https://twitter.com/kylegriffin1/status/1432040354652385282

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Members of the U.S. military are expressing their grave concerns as the Pentagon issues a coronavirus vaccine mandate. https://t.co/Vvc3xQV3j8 https://twitter.com/BreitbartNews/status/1432064562862465031

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Charlie Kirk, following TPUSA co-founder Bill Montgomery dying of Covid-19, says at a church gathering this evening that if one of his TPUSA employees asks about coronavirus mandates for their workspace, they will be fired. "Such a ridiculous question,” he adds. https://twitter.com/ZTPetrizzo/status/1432121229880741891

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Duke University employees have until October 1st, at 10 a.m. ET, to prove they have been vaccinated. Unvaccinated staff who don't get a shot during a seven-day grace period after that will "be terminated and ineligible be rehired at Duke in the future." https://t.co/99y9GTNd53 https://twitter.com/davidgura/status/1432132824748990464

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Marc Bernier, a conservative Florida radio host who dubbed himself "Mr. Anti-Vax," died after a three-week battle with COVID-19. He was 65. His death was the third this month among conservative talk show hosts outspoken against the coronavirus vaccine. https://t.co/qYBdYvCLE0 https://twitter.com/NYDailyNews/status/1432142903493763072

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"The industry says this is a consequence of Brexit & the coronavirus pandemic. EU drivers now require a visa to work in the UK, but are not included on the government's shortage occupation list & do not qualify for their definition of skilled workers” https://t.co/Z4mD40MuhD https://twitter.com/PeterStefanovi2/status/1432216620282392580

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I’ve lost faith in petitions lately but this is one that everyone should sign. Petition: Repeal the Coronavirus Act https://t.co/LK3yept3Px https://twitter.com/McGiff/status/1432248725607440388

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    semantic variability:
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    Semantic Variability Score
    — modulates diversity of the discourse network  how it works?
    The score is calculated based on how modular the structure of the graph is (> 0.4 means the clusters are distinct and separate from one another = multiple perspectives). It also takes into account how the most influential nodes are dispersed among those clusters (higher % = lower concentration of power in a particular cluster).
    Actionable Insight:

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    We distinguish 4 states of variability in your discourse. We recommend that a well-formed discourse should go through every stage during its evolution (in several iterations).

      1 - (bottom left quadrant) — biased — low variability, low diversity, one central idea (genesis and introduction stage).
      2 - (top right) - focused - medium variability and diversity, several concepts form a cluster (coherent communication stage).
      3 - (bottom right) - diversified — there are several distinct clusters of main ideas present in text, which interact on the global level but maintain specificity (optimization and reflection stage).
      4 - (left top) — dispersed — very high variability — there are disjointed bits and pieces of unrelated ideas, which can be used to construct new ideas (creative reformulation stage).

    Read more in the cognitive variability help article.
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    Your Workflow Variability:
     
    Shows to what extent you explored all the different states of the graph, from uniform and regular to fractal and complex. Read more in the cognitive variability help article.

    You can increase the score by adding content into the graph (your own and AI-generated), as well as removing the nodes from the graph to reveal latent topics and hidden patterns.
    Phases to Explore:
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    Main Topical Clusters & High-Level Ideas
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    The topical clusters are comprised of the nodes (words) that tend to co-occur together in the same context (next to each other).

    We use a combination of clustering and graph community detection algorithm (Blondel et al based on Louvain) to identify the groups of nodes are more densely connected together than with the rest of the network. They are aligned closer to each other on the graph using the Force Atlas algorithm (Jacomy et al) and are given a distinct color.
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    Most Influential Keywords & Concepts
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    The most influential nodes are either the ones with the highest betweenness centrality — appearing most often on the shortest path between any two randomly chosen nodes (i.e. linking the different distinct communities) — or the ones with the highest degree.

    We use the Jenks elbow cutoff algorithm to select the top prominent nodes that have significantly higher influence than the rest.

    Click the Reveal Underlying Ideas button to remove the most influential words (or the ones you select) from the graph, to see what terms are hiding behind them.
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    Network Structure:
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    The network structure indicates the level of its diversity. It is based on the modularity measure (>0.4 for medium, >0.65 for high modularity, measured with Louvain (Blondel et al 2008) community detection algorithm) in combination with the measure of influence distribution (the entropy of the top nodes' distribution among the top clusters), as well as the the percentage of nodes in the top community.


     
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    Structural Gap Insight
    (topics to connect)   ?
    A structural gap shows the two distinct communities (clusters of words) in this graph that are important, but not yet connected. That's where the new potential and innovative ideas may reside.

    This measure is based on a combination of the graph's connectivity and community structure, selecting the groups of nodes that would either make the graph more connected if it's too dispersed or that would help maintain diversity if it's too connected.
    N/A
    Highlight in Network   ↻ Show Another Gap  
    AI: Insight Question   AI: Bridge the Gap  
     
    Discourse Entrance Points
    (concepts with the highest influence / frequency ratio)   ?
    These nodes have unusually high rate of influence (betweenness centrality) to their frequency — meaning they may appear not as often as the most influential nodes but they are important narrative shifting points.

    These are usually effective entrance points into the discourse, as they link different topics together and have high inlfuence, but not too many connections, which makes them more accessible.
    N/A
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    Emerging Keywords
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    Evolution of Topics
    (number of occurrences per text segment) ?
    The chart shows how the main topics and the most influential keywords evolved over time. X-axis: time period (split into 10% blocks). Y-axis: cumulative number of occurrences.

    Drag the slider to see how the narrative evolved over time. Select the checkbox to recalculate the metrics at every step (slower, but more precise).

     
    Main Topics
    (according to Latent Dirichlet Allocation):
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     ?  

    LDA stands for Latent Dirichlet Allocation — it is a topic modelling algorithm based on calculating the maximum probability of the terms' co-occurrence in a particular text or a corpus.

    We provide this data for you to be able to estimate the precision of the default InfraNodus topic modeling method based on text network analysis.
    Most Influential Words
    (main topics and words according to LDA):
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    We provide LDA stats for comparison purposes only. It works with English-language texts at the moment. More languages are coming soon, subscribe @noduslabs to be informed.

    Sentiment Analysis


    positive: | negative: | neutral:
    reset filter    ?  

    We analyze the sentiment of each statement to see whether it's positive, negative, or neutral. You can filter the statements by sentiment (clicking above) and see what kind of topics correlate with every mood.

    The approach is based on AFINN and Emoji Sentiment Ranking

     
    Use the Bert AI model for English, Dutch, German, French, Spanish and Italian to get more precise results (slower). Standard model is faster, works for English only, is less precise, and is based on a fixed AFINN dictionary.

    Concept Relation Analysis:

    please, select the node(s) on the graph or in the table below to see their connections...
    +   ⤓ download CSV   ?

    Use this feature to compare contextual word co-occurrences for a group of selected nodes in your discourse. Expand the list by clicking the + button to see all the nodes your selected nodes are connected to. The total influence score is based on betweenness centrality measure. The higher is the number, the more important are the connections in the context of the discourse.
    Top Relations in 4-grams
    (bidirectional, for directional bigrams see the CSV table below):

    ⤓ Download   ⤓ Directed Bigrams CSV   ?

    The most prominent relations between the nodes that exist in this graph are shown above. We treat the graph as undirected by default. Occurrences shows the number of the times a relationship appears in a 4-gram window. Weight shows the weight of that relation.

    As an option, you can also downloaded directed bigrams above, in case the direction of the relations is important (for any application other than language).

    Text Statistics:
    Word Count Unique Lemmas Characters Lemmas Density
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    Text Network Statistics:
    Show Overlapping Nodes Only

    ⤓ Download as CSV  ⤓ Download an Excel File
    Discourse Network Structure Insights
     
    mind-viral immunity:
    N/A
      ?
    stucture:
    N/A
      ?
    The higher is the network's structure diversity and the higher is the alpha in the influence propagation score, the higher is its mind-viral immunity — that is, such network will be more resilient and adaptive than a less diverse one.

    In case of a discourse network, high mind-viral immunity means that the text proposes multiple points of view and propagates its influence using both highly influential concepts and smaller, secondary topics.

    We recommend to try to increase mind-viral immunity for texts that have a low score and to decrease it for texts that have a high score. This ensures that your discourse will be open, but not dispersed.
    The higher is the diversity, the more distinct communities (topics) there are in this network, the more likely it will be pluralist.
    The network structure indicates the level of its diversity. It is based on the modularity measure (>0.4 for medium, >0.65 for high modularity, measured with Louvain (Blondel et al 2008) community detection algorithm) in combination with the measure of influence distribution (the entropy of the top nodes' distribution among the top clusters), as well as the the percentage of nodes in the top community.

    We recommend to aim for Diversified structure if you're in the Biased or Focused score range and to aim for the Focused structure if you're in the Dispersed score range.

    Modularity
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    Influence Distribution
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    Topics Nodes in Top Topic Components Nodes in Top Comp
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    Nodes Av Degree Density Weighed Betweenness
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    Discourse Advice:
    N/A
    AI: Develop the Discourse
    Narrative Influence Propagation:
      ?
    The chart above shows how influence propagates through the network. X-axis: lemma to lemma step (narrative chronology). Y-axis: change of influence.

    The more even and rhythmical this propagation is, the stronger is the central idea or agenda (see alpha exponent below ~ 0.5 or less).

    The more variability can be seen in the propagation profile, the less is the reliance on the main concepts (agenda), the stronger is the role of secondary topical clusters in the narrative.
    propagation dynamics: | alpha exponent: (based on Detrended Fluctuation Analysis of influence) ?   show the chart
    We plot the narrative as a time series of influence (using the words' betweenness score). We then apply detrended fluctuation analysis to identify fractality of this time series, plotting the log2 scales (x) to the log2 of accumulated fluctuations (y). If the resulting loglog relation can be approximated on a linear polyfit, there may be a power-law relation in how the influence propagates in this narrative over time (e.g. most of the time non-influential words, occasionally words with a high influence).

    Using the alpha exponent of the fit (which is closely related to Hurst exponent)), we can better understand the nature of this relation: uniform (pulsating | alpha <= 0.65), variable (stationary, has long-term correlations | 0.65 < alpha <= 0.85), fractal (adaptive | 0.85 < alpha < 1.15), and complex (non-stationary | alpha >= 1.15).

    For maximal diversity, adaptivity, and plurality, the narrative should be close to "fractal" (near-critical state). For fiction, essays, and some forms of poetry — "uniform". Informative texts will often have "variable + stationary" score. The "complex" state is an indicator that the text is always shifting its state.

    Degree Distribution:
      calculate & show   ?
    (based on kolmogorov-smirnov test) ?   switch to linear
    Using this information, you can identify whether the network has scale-free / small-world (long-tail power law distribution) or random (normal, bell-shaped distribution) network properties.

    This may be important for understanding the level of resilience and the dynamics of propagation in this network. E.g. scale-free networks with long degree tails are more resilient against random attacks and will propagate information across the whole structure better.
    If a power-law is identified, the nodes have preferential attachment (e.g. 20% of nodes tend to get 80% of connections), and the network may be scale-free, which may indicate that it's more resilient and adaptive. Absence of power law may indicate a more equalized distribution of influence.

    Kolmogorov-Smirnov test compares the distribution above to the "ideal" power-law ones (^1, ^1.5, ^2) and looks for the best fit. If the value d is below the critical value cr it is a sign that the both distributions are similar.
    Please, enter a search query to visualize the difference between what people search for (related queries) and what they actually find (search results):

     
    We will build two graphs:
    1) Google search results for your query;
    2) Related searches for your query (Google's SERP);
    Click the Missing Content tab to see the graph that shows the difference between what people search for and what they actually find, indicating the content you could create to fulfil this gap.
    Please, enter a search query to discover what else people are searching for (from Google search or AdWords suggestions):

     
    We will build a graph of the search phrases related to your query (Google's SERP suggestions).
    Compare informational supply (search results for your query) to informational demand (what people also search for) and find what's missing:

     
    We will build two graphs:
    1) the content that already exists when you make this search query (informational supply);
    2) what else people are searching for when they make this query (informational demand);
    You can then click the Niche tab to see the difference between the supply and the demand — what people need but do not yet find — the opportunity gap to fulfil.
    Please, enter your query to visualize Google search results as a graph, so you can learn more about this topic:

       advanced settings    add data manually
    Discover the main topics, recurrent themes, and missing connections in any text or an article:  
    Discover the main themes, sentiment, recurrent topics, and hidden connections in open survey responses:  
    Discover the main themes, sentiment, recurrent topics, and hidden connections in customer product reviews:  
    Enter a search query to analyze the Twitter discourse around this topic (last 7 days):

         advanced settings    add data manually

    Enter a topic or a @user to analyze its social network on Twitter:

     advanced settings    add data manually

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