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InfraNodus
Top keywords (global influence):
Top topics (local contexts):
Explore the main topics and terms outlined above or see them in the excerpts from this text below.
See the relevant data in context: click here to show the excerpts from this text that contain these topics below.
Tip: use the form below to save the most relevant keywords for this search query. Or start writing your content and see how it relates to the existing search queries and results.
Tip: here are the keyword queries that people search for but don't actually find in the search results.

#vladimir_putin is the president of Russia

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#dmitry_medvedev works as a close ally of #vladimir_putin and is a prime minister in the Russian government

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#dmitry_peskov is a press secretary of #vladimir_putin and largely decides what information makes it to the president

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#sergey_lavrov works as a minister of foreign affairs in #dmitry_medvedev government

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#dmitry_peskov is probably in close contact with #sergey_lavrov

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#boris_yeltsin was the first president of Russia and he transfered his power to #vladimir_putin

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people who search for #Sergei_Ivanov also search for #Sergey_Shoygu

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people who search for #Sergei_Ivanov also search for #Sergey_Naryshkin

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people who search for #Sergei_Ivanov also search for #Igor_Sechin

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people who search for #Sergei_Ivanov also search for #Nikolai_Patrushev

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people who search for #Sergei_Ivanov also search for #Vladislav_Surkov

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#Igor_Sechin is the president of Rosneft and is a close ally of #vladimir_putin

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people who search for #Igor_Sechin also search for #Alexey_Miller

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people who search for #Igor_Sechin also search for #Vladimir_Yevtushenkov

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people who search for #Igor_Sechin also search for #Alisher_Usmanov

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people who search for #Igor_Sechin also search for #Gennady_Timchenko

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people who search for #Igor_Sechin also search for #Sergei_Ivanov

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people who search for #Igor_Sechin also search for #Igor_Shuvalov

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people who search for #Alexey_Miller also search for #Igor_Sechin

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people who search for #Alexey_Miller also search for #German_Gref

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people who search for #Alexey_Miller also search for #Alexander_Novak

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people who search for #Alexey_Miller also search for #Dmitry_Medvedev

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#Sergei_Ivanov, longtime ally of #Vladimir_Putin and his chief-of-staff at the Kremlin

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people who search for #Dmitry_Peskov also search for #Tatiana_Navka

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people who search for #Dmitry_Peskov also search for #Lyudmila_Putina

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people who search for #Dmitry_Peskov also search for #Natalya_Timakova

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people who search for #Dmitry_Peskov also search for #Vladimir_Putin

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people who search for #Dmitry_Peskov also search for #Sergey_Lavrov

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people who search for #Dmitry_Peskov also search for #Dmitry_Medvedev

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people who search for #Dmitry_Peskov also search for #Alina_Kabaeva

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Those same allies allege that Rosneft, the state energy champion, and #Igor_Sechin, its powerful chairman, played a role in #Vladimir_Yevtushenkov losing Bashneft. http://www.ft.com/intl/cms/s/0/6b5cd064-8619-11e4-b248-00144feabdc0.html#axzz3PmrOvlsR

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#valentina_matviyenko is a close ally of #vladimir_putin they know each other from St. Petersburg times https://www.google.com/search?q=%23Sergei_Ivanov+also+search+for+%23Valentina_Matviyenko

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#sergei_ivanov was succeded by #sergey_naryshkin in the office

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#Vladimir_Ustinov was a chief persecutor of Russia.

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#vladimir_ustinov has close personal links with #igor_sechin: his son is married to Mr Sechin’s daughter. Analysts said Mr Ustinov’s dismissal was a sign of the strengthening of #Sergei_Ivanov, Russia’s powerful defence minister and another strong candidate to succeed Mr Putin as president in 2008. The president #Vladimir_Putin and #Sergei_Ivanov both served in the KGB, the Soviet secret service.

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people who search for #Vladimir_Ustinov also search for #Yury_Chaika

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people who search for #Vladimir_Ustinov also search for #Yury_Skuratov

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people who search for #Vladimir_Ustinov also search for #Igor_Sechin

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people who search for #Vladimir_Ustinov also search for #Nikolai_Patrushev

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people who search for #Vladimir_Ustinov also search for #Rashid_Nurgaliyev

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people who search for #Vladimir_Ustinov also search for #Vladimir_Rushailo

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people who search for #Vladimir_Ustinov also search for #Mikhail_Fradkov

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#nikolai_patrushev was the director of Russian FSB.

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#Sergei_Ivanov, #Nikolai_Patrushev, Aleksandr Grigor'yev, Vladimir Strzhelkovskiy, and Viktor Cherkesov were all contemporaries of #Vladimir_Putin in the Leningrad KGB https://books.google.de/books?...

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#Igor_Sechin is often described as one of #Vladimir_Putin most conservative counselors and the leader of the Kremlin's Siloviki faction, a statist lobby gathering former security services agents https://en.wikipedia.org/wiki/Igor_Sechin

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#alexey_miller From 1991 to 1996 served with the Committee for External Relations of the Saint Petersburg Mayor's Office under #Vladimir_Putin https://en.wikipedia.org/wiki/Alexey_Miller

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the business interests of #alexey_miller and #igor_sechin do not always coincide http://www.geopolitika.lt/?artc=6100

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#Dmitry_Medvedev political career began as the election campaign manager and later an adviser of the St. Petersburg Mayor #Anatoly_Sobchak. During this time, #Dmitry_Medvedev befriended #Vladimir_Putin. In November 1999, Medvedev was hired by the Russian presidential administration, where he worked as deputy chief of staff. In the 2000 Presidential elections, #Dmitry_Medvedev was #Vladimir_Putin campaign manager. https://en.wikipedia.org/wiki/Dmitry_Medvedev

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#sergey_lavrov was very loyal to #vladimir_putin during his service and Putin appointed him as the foreign affairs minister in 2004

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#anatoly_sobchak was the mayor of St. Petersburg known for his liberal political stance. #vladimir_putin was his close ally and member of staff. he made his political career at Sobchak's office.

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#tatiana_navka had an affair with #dmitry_peskov

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#lyudmila_putina was the wife of #vladimir_putin

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rumors had it that #vladimir_putin was with #alina_kabaeva

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both #alina_kabaeva and #lyudmila_putina were with #vladimir_putin

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#Natalya_Timakova is a Russian journalist. As of 2012 she is press attaché to the Russian Prime Minister #Dmitry_Medvedev

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he Ministry of Economic Development and Trade’s head #German_Gref declared that state regulation of prices must be preserved until “Gazprom’s monopoly is eliminated.” In his turn #Alexey_Miller mentioned that the proposals on the deregulation of the gas market prices had been sent to Vladimir_Putin. http://www.kommersant.com/p558903/r_1/Gazprom_Demands_Freedom/

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#German_Gref worked in the Saint Petersburg City Administration as legal adviser and that's where he met #vladimir_Putin https://en.wikipedia.org/wiki/German_Gref#Moscow_years_1998-present

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#Viktor_Zubkov was the chairman of Gazprom directed by #Alexey_Miller

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#Viktor_Zubkov was the chairman of Gazprom directed by #Alexey_Miller

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#alexander_novak is the minister of energy in Russia and works in #dmitry_medvedev government

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#viktor_zubkov is considered to be loyal to #vladimir_putin and was appointed as the prime minister for a short time in 2007 to balance the power circles in the kremlin

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people who search for #Vladislav_Surkov also search for #Vyacheslav_Volodin

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people who search for #Vladislav_Surkov also search for #Dmitry_Rogozin

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people who search for #Vladislav_Surkov also search for #Sergey_Glazyev

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people who search for #Vladislav_Surkov also search for #Sergei_Ivanov

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people who search for #Vladislav_Surkov also search for #Valentina_Matviyenko

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people who search for #Vladislav_Surkov also search for #Sergey_Kurginyan

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people who search for #Vladislav_Surkov also search for #Arkady_Dvorkovich

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#Sergei_Ivanov and #Valentina_Matviyenko often appear in news reports together

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during the 1990's #Vladislav_Surkov worked as a public relations official for the oil and banking magnate #Mikhail_Khodorkovsky http://www.worldpoliticsreview.com/articles/1008/vladislav-surkov-putin-aide-could-be-russian-kingmaker

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#Arkady_Dvorkovich worked together with #vladislav_surkov

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#arkady_dvorkovich is considered to be a more liberal member of #vladimir_putin and #dmitry_medvedev team

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there are allegations that #vladislav_surkov had closed ties with #igor_strelkov who played an important role in the formation of resistance movement in novorossiya http://www.interpretermag.com/kremlin-grey-cardinal-surkovs-deal-for-a-donetsk-transdniestria/

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#Sergei_Kurginyan is a Russian scientist, better known as a theatre producer and a politician. He is the founder and leader of all-Russian ultranationalist public patriotic movement Essence of Time. https://en.wikipedia.org/wiki/Sergey_Kurginyan

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#vladislav_surkov is in close relations with #sergei_kurginyan and they were both involved in staging Novorossiya's activities according to this source: http://www.interpretermag.com/kremlin-grey-cardinal-surkovs-deal-for-a-donetsk-transdniestria/

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people who search for #Vyacheslav_Volodin also search for #Vladislav_Surkov

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people who search for #Vyacheslav_Volodin also search for #Dmitry_Kozak

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people who search for #Vyacheslav_Volodin also search for #Igor_Sechin

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#Vyacheslav_Volodin took over from one of the leading architects of Russia's current political system, #Vladislav_Surkov, who was known as the "grey cardinal" of Russian politics. Mr Volodin rarely gives interviews, and is considered by many political commentators as less flexible and intellectual than his predecessor. http://www.bbc.com/news/world-europe-17130834

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#Arkady_Dvorkovich was one of the few officials to publicly criticize #Vladimir_Putin decision to return to the presidency last September, and his appointment as a deputy prime minister adds a strong liberal voice to the new Cabinet. #Arkady_Dvorkovich is widely seen as politically and ideologically close to Prime Minister #Dmitry_Medvedev. #Arkady_Dvorkovich also worked under #German_Gref, now president of state-owned financial giant Sberbank, when Gref was director of the Center for Strategic Development and subsequently made economic development minister in 2000. http://www.themoscowtimes.com/people/article/arkady_dvorkovich/433787.html

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people who search for #German_Gref also search for #Elvira_Nabiullina

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people who search for #German_Gref also search for #Alexei_Kudrin

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people who search for #German_Gref also search for #Alexey_Miller

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people who search for #German_Gref also search for #Arkady_Dvorkovich

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people who search for #German_Gref also search for #Alexey_Ulyukaev

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people who search for #German_Gref also search for #Igor_Shuvalov

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in many ways #alexei_kudrin and #german_gref hold similar positions on economic and political development of Russia

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#Alexei_Kudrin worked with #german_gref and #igor_shuvalov to liberalize Russian ruble currency exchange rate

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#Alexei_Kudrin criticised #Dmitry_Medvedev plans for boosting the military and social welfare budgets, the president called on him to resign, which he did the next day.

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#German_Gref is kind of on opposing side in terms of the world view and vision for Russia to #Igor_Sechin

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#alexey_ulyukaev Alexey is a Russian politician, scientist, and economist. Since 24 June 2013, he has held the office of Minister of Economic Development of the Russian Federation in #Dmitry_Medvedev Cabinet. From 2004 to 2013, he held the post of Deputy Chairman of the Central Bank of Russia.

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people who search for #Alexei_Kudrin also search for #German_Gref

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people who search for #Alexei_Kudrin also search for #Anton_Siluanov

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people who search for #Alexei_Kudrin also search for #Elvira_Nabiullina

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people who search for #Alexei_Kudrin also search for #Alexey_Ulyukaev

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people who search for #Alexei_Kudrin also search for #Anatoly_Chubais

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people who search for #Alexei_Kudrin also search for #Igor_Shuvalov

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people who search for #Alexei_Kudrin also search for #Dmitry_Medvedev

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people who search for #Igor_Shuvalov also search for #Arkady_Dvorkovich

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people who search for #Igor_Shuvalov also search for #Igor_Sechin

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people who search for #Igor_Shuvalov also search for #Anton_Siluanov

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people who search for #Igor_Shuvalov also search for #Elvira_Nabiullina

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people who search for #Igor_Shuvalov also search for #Alexei_Kudrin

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people who search for #Igor_Shuvalov also search for #Dmitry_Kozak

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people who search for #Igor_Shuvalov also search for #German_Gref

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#anatoly_chubais worked in #boris_yeltsin team and was one of the main architect of the Russian privatization in the 1990s. he also headed the Russian energy corporation.

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#sergey_lavrov and #sergey_shoygu became the most popular Russian ministers in 2014 with about 50 percent approval ratings http://rupaper.com/post/32181

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#sergey_shoygu who is the minister of defense in the Russian government is also a close ally of #vladimir_putin. he became popular as the minister of exceptional situations in early 2000s

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people who search for #Sergey_Lavrov also search for #Vladimir_Putin

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people who search for #Sergey_Lavrov also search for #John_Kerry

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people who search for #Sergey_Lavrov also search for #Dmitry_Medvedev

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people who search for #Sergey_Lavrov also search for #Vitaly_Churkin

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people who search for #Sergey_Lavrov also search for #Viktor_Yanukovych

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people who search for #Sergey_Lavrov also search for #Petro_Poroshenko

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people who search for #Sergey_Shoygu also search for #Vladimir_Putin

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people who search for #Sergey_Shoygu also search for #Dmitry_Medvedev

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people who search for #Sergey_Shoygu also search for #Sergei_Ivanov

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#Sergey_Shoygu is a successor of #Dmitry_Rogozin in the ministry of defense

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both #Sergey_Shoygu #Sergey_Sobyanin are considered to be popular politicians in Russia and could possibly be Putin's successors that would also satisfy many different power circles as they don't belong to any of them fully.

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#Sergey_Shoygu electoral power was tested during Moscow region elections in 2012, which he won - similar to #sergey_sobyanin who won Moscow's mayor elections in 2013 from opposition leader #aleksei_navalny

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#Anatoliy_Serdyukov served as a minister of Defense – the post that was given to #Sergey_Shoygu after a corruption scandal involving Serdyukov

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According to expert Sergey Smirnov, the so-called "Petersburg group” siloviki of #sergei_ivanov #sergey_chemezov and #sergei_ivanov wanted one of its guys to take Serdyukov’s place at the Defense Ministry. But #vladimir_putin didn’t want to strengthen them, so he took the neutral figure #sergey_shoygu.

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people who search for #Aleksei_Navalny also search for #Sergey_Sobyanin

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people who search for #Aleksei_Navalny also search for #Kseniya_Sobchak

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people who search for #Aleksei_Navalny also search for #Vladimir_Putin

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#Boris_Nemtsov and #Aleksei_Navalny are popular opposition leaders in Russia. Nemtsov kind of transferred a part of his agenda and support network to Navalny

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both #Aleksei_Navalny and #Mikhail_Khodorkovsky are the most popular opposition leaders in Russia now

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#Garry_Kasparov is a famous chess champion who toyed with the idea of politics basing himself on liberal ideas, but was not as brave as #aleksei_navalny to actually do something practical about it

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#alexei_kudrin openly supports #aleksei_navalny and was present at several opposition rallies http://www.rferl.org/content/when-aleksei-meets-aleksei/24790434.html

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#kseniya_sobchak was important in providing a connection between the opposition camp and #alexei_kudrin http://www.rferl.org/content/when-aleksei-meets-aleksei/24790434.html

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#Aleksei_Navalny and #Sergei_Udaltsov are both opposition leaders but Udalstov's agenda is much more nationalist and left-wing (communist) than Navalny's

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#Sergei_Udaltsov actually worked in the communist party under #Gennady_Zyuganov

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#gennady_zyuganov was the main contestant to #boris_yeltsin at the crucial 1996 elections in which #boris_berezovsky played an important part

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#aleksei_navalny is always bashing #igor_sechin in his anti-corruption materials

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#aleksei_navalny anti-corruption fund revealed #igor_shuvalov owned a lot of very expensive property

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#aleksei_navalny often wrote about #vladislav_surkov policies on his blog, claiming that they were detrimental to Russia's development

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#kseniya_sobchak is the daughter of #anatoly_sobchak who was kind of #vladimir_putin teacher and also she had close ties to Putin as well (he was family's friend)

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#igor_shuvalov and #alexei_kudrin who worked together in the government before Kudrin was ousted by Medvedev, have a different point of view on political freedoms in Russia. both agree it's necessary, but Shuvalov thinks it is only possible in the long-term through long reforms, as the society is not ready for it, while Kudrin believes that people are ready and it's the conservative stance of the government that doesn't allow for the further development

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political ambitions of #mikhail_khodorkovsky have made him into the personal enemy of #vladimir_putin https://en.wikipedia.org/wiki/Mikhail_Khodorkovsky

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#Igor_Sechin is the director of the main Russian oil company Rosneft, which confiscated most of #Mikhail_Khodorkovsky YUKOS actives after he went to prison

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#aleksei_navalny often criticised #sergei_ivanov for nepotism

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#igor_sechin is the coordinator of the circle of politicians and businessmen called "piterskie chekists" - it also includes #vladimir_ustinov, #mikhail_fradkov, #gennady_timchenko http://www.cambridge.org/us/academic/subjects/politics-international-relations/russian-and-east-european-government-politics-and-policy/can-russia-modernise-sistema-power-networks-and-informal-governance

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#nikolai_patrushev is associated with another group of "piterskie chekists", which also includes #valentina_matviyenko #boris_gryzlov #rashid_nurgaliyev and a variety of St. Petersburg - Karelian and St. Petersburg - afghan chekists. http://www.cambridge.org/us/academic/subjects/politics-international-relations/russian-and-east-european-government-politics-and-policy/can-russia-modernise-sistema-power-networks-and-informal-governance

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there is also a group of Orthodox chekists, including #vladimir_yakunin who runs Russian railways and #vladimir_kozhin who overlooks Kremlin's finances.

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#vladimir_yakunin is an old friend of #vladimir_putin and they are both part of so-called cooperative Ozero, a property complex near St. Petersburg – an informal network of businessmen who are close to Putin

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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:

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

Click the Reveal Non-obvious button to remove the most influential words (or the ones you select) from the graph, to see what terms are hiding behind them.

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.
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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Action Advice:
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Structural Gap
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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.

Latent Topical Brokers
(less visible terms that link important topics):
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These are the latent brokers between the topics: the nodes that have an unusually high rate of influence (betweenness centrality) to their freqency — meaning they may appear not as often as the most influential nodes but they are important narrative shifting points.

These are usually brokers between different clusters / communities of nodes, playing not easily noticed and yet important role in this network, like the "grey cardinals" of sorts.

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


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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.

Keyword Relations Analysis:

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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 / Bigrams
(both directions):

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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:
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Network Structure Insights
 
mind-viral immunity:
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stucture:
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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.
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.

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Narrative Influence Propagation:
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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:
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(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.
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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.
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We will build a graph of the search phrases related to your query (Google's SERP suggestions).
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