DOCSLIB.ORG

Network Science

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Network Science Data-driven Pattern Discovery using Network Science Frank Takes LIACS, Leiden University D4N Meeting | January 27, 2017 Network Science | D4N Meeting | January 27, 2017 1 / 50 Data Data: facts, measurements or text collected for reference or analysis (Oxford dictionary) Unstructured data: data that does not fit a certain data structure (text, some numeric measurements) Structured data: data that fits a certain data structure (table, tree, network, etc.) Network Science | D4N Meeting | January 27, 2017 2 / 50 Data Analysis Data Mining Pattern Discovery Data Science Big Data Network science: analyzing \big" structured data consisting of objects connected via certain relationships, in short: networks Interest from: mathematics, computer science, physics, biology, economics, social sciences, . Data Network Science ! Data Network Science | D4N Meeting | January 27, 2017 3 / 50 Data Mining Pattern Discovery Data Science Big Data Network science: analyzing \big" structured data consisting of objects connected via certain relationships, in short: networks Interest from: mathematics, computer science, physics, biology, economics, social sciences, . Data Network Science ! Data Data Analysis Network Science | D4N Meeting | January 27, 2017 3 / 50 Pattern Discovery Data Science Big Data Network science: analyzing \big" structured data consisting of objects connected via certain relationships, in short: networks Interest from: mathematics, computer science, physics, biology, economics, social sciences, . Data Network Science ! Data Data Analysis Data Mining Network Science | D4N Meeting | January 27, 2017 3 / 50 Data Science Big Data Network science: analyzing \big" structured data consisting of objects connected via certain relationships, in short: networks Interest from: mathematics, computer science, physics, biology, economics, social sciences, . Data Network Science ! Data Data Analysis Data Mining Pattern Discovery Network Science | D4N Meeting | January 27, 2017 3 / 50 Big Data Network science: analyzing \big" structured data consisting of objects connected via certain relationships, in short: networks Interest from: mathematics, computer science, physics, biology, economics, social sciences, . Data Network Science ! Data Data Analysis Data Mining Pattern Discovery Data Science Network Science | D4N Meeting | January 27, 2017 3 / 50 Network science: analyzing \big" structured data consisting of objects connected via certain relationships, in short: networks Interest from: mathematics, computer science, physics, biology, economics, social sciences, . Data Network Science ! Data Data Analysis Data Mining Pattern Discovery Data Science Big Data Network Science | D4N Meeting | January 27, 2017 3 / 50 Data Network Science ! Data Data Analysis Data Mining Pattern Discovery Data Science Big Data Network science: analyzing \big" structured data consisting of objects connected via certain relationships, in short: networks Interest from: mathematics, computer science, physics, biology, economics, social sciences, . Network Science | D4N Meeting | January 27, 2017 3 / 50 Network Science | D4N Meeting | January 27, 2017 4 / 50 Network Science | D4N Meeting | January 27, 2017 5 / 50 Networks Network/graph: objects and relationships G = (V ; E) Objects/entities/nodes/vertices V = n j j Relationships/ties/links/edges E = m j j Data attributes are annotations on the nodes and the edges Enrich using labels, weights and multiple node and edge types Examples: Online social networks Scientific citation and collaboration networks Webgraphs Biological networks Communication networks Corporate networks Network Science | D4N Meeting | January 27, 2017 6 / 50 One-mode labeled network Source: http://web.stanford.edu/class/cs224w Network Science | D4N Meeting | January 27, 2017 7 / 50 Two-mode weighted network Source: http://toreopsahl.com Network Science | D4N Meeting | January 27, 2017 8 / 50 LIACS collaboration network Network Science | D4N Meeting | January 27, 2017 9 / 50 Branch of data science focusing on network data Method in complexity research Complex systems approach: the behavior emerging from the network reveals patterns not visible when studying the individuals Network science Network science: understanding data by investigating interactions and relationships between individual data objects as a network Networks are the central model of computation Network Science | D4N Meeting | January 27, 2017 10 / 50 Network science Network science: understanding data by investigating interactions and relationships between individual data objects as a network Networks are the central model of computation Branch of data science focusing on network data Method in complexity research Complex systems approach: the behavior emerging from the network reveals patterns not visible when studying the individuals Network Science | D4N Meeting | January 27, 2017 10 / 50 Example: PPI network 1706 proteins 6207 interactions Network Science | D4N Meeting | January 27, 2017 11 / 50 Example: PPI network 1706 proteins 6207 interactions Network Science | D4N Meeting | January 27, 2017 11 / 50 Example: PPI network 1706 proteins 6207 interactions Network Science | D4N Meeting | January 27, 2017 12 / 50 Visualization of PPI network Network Science | D4N Meeting | January 27, 2017 13 / 50 Visualization of PPI network Network Science | D4N Meeting | January 27, 2017 14 / 50 Real-world networks Topological characteristics 1 Density 2 Degree Power law 3 Components Giant component 4 Distance Small world 5 Clustering coefficient Network Science | D4N Meeting | January 27, 2017 15 / 50 Directed networks Indegree indeg(v) = 4 Outdegree outdeg(v) = 3 Degree distribution: frequency of each degree value. Follows a power law distribution with a \fat tail" Degree u w u w v x v x y z y z Figure : Undirected network Figure : Directed network Undirected networks: degree deg(v) = 5 Network Science | D4N Meeting | January 27, 2017 16 / 50 Degree distribution: frequency of each degree value. Follows a power law distribution with a \fat tail" Degree u w u w v x v x y z y z Figure : Undirected network Figure : Directed network Undirected networks: degree deg(v) = 5 Directed networks Indegree indeg(v) = 4 Outdegree outdeg(v) = 3 Network Science | D4N Meeting | January 27, 2017 16 / 50 Degree u w u w v x v x y z y z Figure : Undirected network Figure : Directed network Undirected networks: degree deg(v) = 5 Directed networks Indegree indeg(v) = 4 Outdegree outdeg(v) = 3 Degree distribution: frequency of each degree value. Follows a power law distribution with a \fat tail" Network Science | D4N Meeting | January 27, 2017 16 / 50 Outdegree distribution Network Science | D4N Meeting | January 27, 2017 17 / 50 Indegree distribution Network Science | D4N Meeting | January 27, 2017 18 / 50 Giant component Network Science | D4N Meeting | January 27, 2017 19 / 50 Components in PPI network Network Science | D4N Meeting | January 27, 2017 20 / 50 Components in PPI network Network Science | D4N Meeting | January 27, 2017 21 / 50 Distance in PPI network Network Science | D4N Meeting | January 27, 2017 22 / 50 Topics in Network Science Graph Representation and Structure Network Modeling Link Prediction Spidering and Sampling Centrality Visualization Algorithms Graph Compression Community Detection Diffusion Contagion, Gossiping and Virality Privacy, Anonymity and Ethics Network Science | D4N Meeting | January 27, 2017 23 / 50 Centrality Network Science | D4N Meeting | January 27, 2017 24 / 50 Centrality Given a social network, which person is most important? What is the most important page on the web? Which protein is most vital in a biological network? Who is the most respected author in a scientific citation network? What is the most crucial router in an internet topology network? Network Science | D4N Meeting | January 27, 2017 25 / 50 Degree centrality Undirected graphs { degree centrality: measure the number of adjacent nodes deg(v) C (v) = d n 1 − Directed graphs | indegree centrality and outdegree centrality Local measure O(1) time to compute Network Science | D4N Meeting | January 27, 2017 26 / 50 Degree centrality Network Science | D4N Meeting | January 27, 2017 27 / 50 Network Science | D4N Meeting | January 27, 2017 28 / 50 Degree centrality Loras Tyrell Jhiqui Janos Slynt Pycelle Renly Baratheon Doreah Varys Wine Seller Irri Ilyn Payne Petyr Baelish Gregor Clegane Qotho Illyrio Mopatis Septa Mordane Barristan Selmy Daenerys Targaryen Mycah Lancel Lannister Mirri Maz Duur Sansa Stark Lyanna Stark Stannis Baratheon Jorah MormontMeryn TrantSandor Clegane Robert Baratheon Viserys Targaryen Hot Pie Rakharo Hugh of the Vale Joffrey Baratheon Drogo Syrio ForelJaime Lannister Eddard Stark Gendry Mago Arya Stark Beric Dondarrion Myrcella Jory CasselThe Three-Eyed Raven Samwell Tarly Grenn Cersei Baratheon Rickon Stark Jon Snow Rodrik Cassel Will Gared Pypar Alistair Thorn Joer Mormont Yoren Ros Bran Stark Walder Frey Catelyn StarkRobb Stark Waymar Royce Rast Maester Aemon Tywin Lannister Theon Greyjoy Tyrion Lannister Benjen Stark Maester Luwin Timett Mord Greatjon Umber Old Nan Shagga Lysa Arryn Osha Kurleket Chella Bronn Knight of House Frey Hodor Galbart Glover Kevan Lannister Vardis Egan Willis Wode Robin Arryn Shae Figure : Character co-occurence network. Node size based on degree. Network Science | D4N Meeting | January 27, 2017 29 / 50 Closeness centrality Closeness centrality: the average distance to each other node in the graph 1 X Cc (v) = d(v; w) n 1 − w2V where d(v; w) is the length of a shortest
Load more

Recommended publications
  • What Happens in Your Brain When You 'Lose Yourself' in Fiction 15 March 2021, by Jeff Grabmeier
    What happens in your brain when you 'lose yourself' in fiction 15 March 2021, by Jeff Grabmeier nine of their friends and nine characters from the series. (The characters were Bronn, Catelyn Stark, Cersei Lannister, Davos Seaworth, Jaime Lannister, Jon Snow, Petyr Baelish, Sandor Clegane and Ygritte.) Participants reported which "Game of Thrones" character they felt closest to and liked the most. "Game of Thrones" was a fantasy drama series lasting eight seasons and concerning political and military conflicts between ruling families on two fictional continents. It was ideal for this study, Broom said, because it attracted a devoted fan base and the large cast presented a variety of Credit: Pixabay/CC0 Public Domain characters that people could become attached to. One of the key findings involved participants in the study who scored highest on what is called "trait If you count yourself among those who lose identification." In a questionnaire they completed as themselves in the lives of fictional characters, part of the study, these participants agreed most scientists now have a better idea of how that strongly with statements like "I really get involved in happens. the feelings of the characters in a novel." Researchers found that the more immersed people "People who are high in trait identification not only tend to get into "becoming" a fictional character, get absorbed into a story, they also are really the more they use the same part of the brain to absorbed into a particular character," Broom said. think about the character as they do to think about "They report matching the thoughts of the themselves.
    [Show full text]
  • Questions Are Coming. a Game of Thrones Quiz by Scott Hendrickson
    Questions are coming. A Game of Thrones Quiz by Scott Hendrickson 1. What is the motto of House Stark? 2. What phrase do you use to tell a dragon to A) Winter is coming. breath fire? B) It's getting chilly. A) Dothraki. C) Burr, my feet are frozen. B) Dracarys. D) Seriously, do they ever heat this castle? C) Valar doharis. D) Light'em up, bitches! 3. Name Tywin Lannister’s three children. 4. Who are King Joffrey Baratheon’s real parents? ____________________, ____________________, & ____________________ & ____________________ ____________________ 5. What material is the weapon used by 6. Circle the locations that are in Westeros: Samuel Tarly to kill a white walker? Winterfell, Braavos, Dorne, Astapor, The Vale, ________________________________ Valyria, Volantis, King’s Landing, Asshai, Highgarden, Tacoma, Kirkland, 7. Hodor? 8. Who appointed Ned Stark as “Hand of the A) Hodor. King”? B) Hodor? A) Jon Arryn C) Hodor! B) Robert Baratheon D) Any of the above. C) Lord Varys D) Stannis Baratheon E) Tywin Lannister 9. Who initiated King Joffrey’s 10. Circle the names of the five non-bastard assassination? Stark children: A) Margery Tyrell B) Lady Olenna Tyrell Poliver, Sansa, Myrcella, Arya, Tommen, C) Petyr Baelish Rungsigul, Rickon, Robb, Ned, Cersei, Bran, D) Tyrion Lannister Rydon, Jon E) Sansa Stark F) Hodor 11. What are the names of Daenarys 12. What song starts playing before the Targaryan’s three dragons? murders occur at the Red Wedding? A) Dragol, Rhaelar and Viserya A) The Pride of the Lion B) Drogon, Rhaegal and Viserion B) The Bear and the Maiden Fair C) Drogo, Rhaegon and Viserios C) Ours is the fury D) Drogal, Rhaegar, and Viseron D) The Rains of Castamere E) Lucky, Dusty, and Ned E) "Shake it off" by Taylor Swift 13.
    [Show full text]
  • Racialization, Femininity, Motherhood and the Iron Throne
    THESIS RACIALIZATION, FEMININITY, MOTHERHOOD AND THE IRON THRONE GAME OF THRONES AS A HIGH FANTASY REJECTION OF WOMEN OF COLOR Submitted by Aaunterria Treil Bollinger-Deters Department of Ethnic Studies In partial fulfillment of the requirements For the Degree of Master of Arts Colorado State University Fort Collins, Colorado Fall 2018 Master’s Committee: Advisor: Ray Black Joon Kim Hye Seung Chung Copyright by Aaunterria Bollinger 2018 All Rights Reserved. ABSTRACT RACIALIZATION, FEMININITY, MOTHERHOOD AND THE IRON THRONE GAME OF THRONES A HIGH FANTASY REJECTION OF WOMEN OF COLOR This analysis dissects the historic preconceptions by which American television has erased and evaded race and racialized gender, sexuality and class distinctions within high fantasy fiction by dissociation, systemic neglect and negating artistic responsibility, much like American social reality. This investigation of high fantasy creative fiction alongside its historically inherited framework of hierarchal violent oppressions sets a tone through racialized caste, fetishized gender and sexuality. With the cult classic television series, Game of Thrones (2011-2019) as example, portrayals of white and nonwhite racial patterns as they define womanhood and motherhood are dichotomized through a new visual culture critical lens called the Colonizers Template. This methodological evaluation is addressed through a three-pronged specified study of influential areas: the creators of Game of Thrones as high fantasy creative contributors, the context of Game of Thrones
    [Show full text]
  • Klawitter.Pdf
    White olk Walkers Free F Night King Night Mance Rayder Ho tch us a e W Ta tʹs Tormund rg h ar ig ye N Alliser Thorne n Jeor Mormont se u Drogo o nt H o m r Osha o Ygri�e M Jorah Mormont Samwell Tarly Rickard Stark Olly Rhaegar Targaryen Rhaella Targaryen Brandon Stark Aerys II Targaryen Viserys Targaryen Jon Snow H o Varys D u a s y e Eddard Stark Daenerys Targaryen n e Ghost Missandei H Viserion Rhaegal Drogon o Grey Worm u Arthur Dayne s e M Robb Stark a r t e Elia Martell l l k r a t S Sansa Stark Oberyn Martell e s Grey Wind u o H S a Arya Stark Lady n d S n Nymeria Sand a k Nymeria e Bran Stark Obara Sand s Tyene Sand Summer Ellaria Sand Rickon Stark Shaggydog H o Catelyn Stark u s Margaery Tyrell e T Lyanna Stark y Olenna Tyrell r e l l Benjen Stark Melisandre Renly Baratheon Shireen Baratheon Howland Reed Meera Reed H o S7 Tommen Baratheon u Jojen Reed Stannis Baratheon s e Myrcella Baratheon R e e d S6 Joffrey Baratheon n o e h t a r Gendry a B Yara Greyjoy S5 Balon Greyjoy e Theon Greyjoy s u o H S4 Robert Baratheon H Podrick Payne o Brienne of Tarth u s e G Euron Greyjoy r S3 e y Aeron Greyjoy jo y Ramsay Bolton Lancel Lannister S2 Robin Arryn e Roose Bolton s u o th Ilyn Payne r S1 H a H T o u High Sparrow se B 297 o e l Tyrion Lannister n t Shae y o a n P Jon Arryn Kevan Lannister Lysa Arryn se u Petyr Baelish Jaime Lannister o Cersei Lannister Gregor Clegane H Edmure Tully Thoros H Tywin Lannister ou Beric Dondarrion s se ow A rr rr a yn Sp Sandor Clegane Ho Walder Frey use Tu r lly H 257 iste ous ann e se L Fr Hou ey Brot herhood use W Ho ithout Banners Clegane A llegian ces Subordinate Sovereign s Lover ip h Master s Direwolf n Lover o i Dragon t a l e Spouse R Victim Spouse s Mercy killer l l i Legend Victim K Sibling Killer Sibling Resurrected Deceased Child Season Parent Child F Alive a m i li es Year s ne eli Lif.
    [Show full text]
  • 2021 Rittenhouse Game of Thrones Iron Anniversary Series 1
    2021 Game of Thrones Iron Ann. S1 Inscription Variations Beckett.com/News Aimee Richardson as Myrcella Baratheon Avoid Dragons PR: 25-50 Game of Thrones PR: 25-50 Hear Me Roar PR: 100-150 House Baratheon PR: 25-50 House Baratheon (or Lannister?) PR: 25-50 I'm a princess! PR: 25-50 Joffrey's Sister PR: 25-50 Myrcella Baratheon PR: 100-150 Ours is the Fury PR: 50-75 Princess for Hire PR: 50-75 Princess Myrcella PR: 50-75 Secretly a Lannister! PR: 25-50 Tommen's sister PR: 25-50 Alfie Allen as Theon Greyjoy Any last words? PR: 50-75 Do the Right Thing PR: 25-50 Game of Thrones PR: 50-75 HOUSE GREYJOY PR: 25-50 I chose wrong PR: 10-25 I did terrible things PR: 25-50 IRONBORN PR: 25-50 It can always be worse PR: 10-25 Pay the iron price! PR: 10-25 REEK PR: 25-50 Theon Greyjoy PR: 50-75 There is no escape PR: 10-25 Amrita Acharia as Irri Doreah Betrayed Me PR: 25-50 dothraki rule PR: 25-50 dothraki Translator PR: 25-50 Game of Thrones PR: 10-25 handmaiden PR: 50-75 I serve Khaleesi PR: 10-25 Irri PR: 100-150 it is known PR: 50-75 She is a Khaleesi PR: 25-50 The Great Stallion PR: 25-50 Ania Bukstein as Kinvara Game of Thrones PR: 25-50 High Pristess PR: 10-25 Kinvara (cursive) PR: 50-75 Kinvara (print) PR: 150-200 1 2021 Game of Thrones Iron Ann.
    [Show full text]
  • The Many Faced Masculinities in a Game of Thrones Game
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE DOI: 10.13114/MJH.2018.436 Tarihi: 17.08.2018 Mediterranean Journal of Humanities Kabul Tarihi: 28.11.2018 mjh.akdeniz.edu.tr Geliş VIII/2 (2018) 479-497 The Many Faced Masculinities in A Game of Thrones Game of Thrones’da Çok Yüzlü Erkeklik Türleri Cenk TAN ∗ Abstract: A Game of Thrones is a stunning medieval fantasy which tells the story of the immense struggle for power in an ancient world named ‘The Seven Kingdoms’. It was originally written as a series of novels by the American author George R. R. Martin in 1996 and adapted to the TV screen by HBO in 2011. The series has completed its sixth season and is scheduled to go on for a total of eight seasons. Since its first broadcast in 2011, A Game of Thrones has attracted millions of viewers on a global scale and has received a total of 38 Emmy Awards. In A Game of Thrones, gender is one of the central themes, as power relations generally evolve around different gender roles. This study analyses masculinity in A Game of Thrones and the different types of masculinities which are identified through various male and female characters. This classification places all of the characters in two distinct gender categories. It also reveals the impact of these diverse forms of masculinities on the lives of the main characters and the general storyline of the production. Thus, the paper deconstructs the constructed masculinities in A Game of Thrones by exposing their representation through the main characters.
    [Show full text]
  • Game of Thrones Background Guide Table of Contents
    Game of Thrones Background Guide Table of Contents Letter from the Chair Letter from the Crisis Director Committee Logistics Introduction to the Committee Introduction to House Stark Introduction to House Lannister Introduction to House Targaryen Questions to Consider Resources to Use Resources Used Dossiers Appendix Staff of the Committee Chair Azanta Thakur Vice Chair Victoria Lopez Crisis Director Sam Lyons Assistant Crisis Director Ariana Thorpe Under Secretary General Jane Gallagher Taylor Cowser, Secretary General Neha Iyer, Director General Letter from the Chair Dear Delegates, On behalf of our committee, I want to extend a warm welcome to you all to BosMUN XIX. I am so excited that you will be a part of this committee and I expect us all to have a dramatic — yet fantastic — weekend. We have a lot of exciting things in store, so get ready, binge the show, and bring your game face. My name is Azanta Thakur and I will be your Chair for the conference weekend. I’m a senior at Boston University studying Public Health and Environmental Analysis & Policy. This is my fourth BosMUN and I’m really looking forward to my final MUN conference. I’ve held every role in BosMUN; from the Secretariat, to the Dais, to the Crisis Room — I hold this conference very near and dear to my heart. For me, doing my last committee on the greatest TV show of all time was the perfect way to go out with a bang. You have been given the once-in-a-lifetime opportunity to conclude this series the way you want.
    [Show full text]
  • GOCASK Government Cabinet of the Seven Kingdoms Topic: “The True Heir of the Seven Kingdoms Dear Delegate: I Have the Pleasure
    GOCASK Government Cabinet of the Seven Kingdoms Topic: “The True Heir of the Seven Kingdoms Dear delegate: I have the pleasure of welcoming you to ULSACUNMUN 2020. My name is Kaory Rios and I am honored of being the president and creator of this year´s new committee GOCASK (government Cabinet of the Seven Kingdoms) based on The Game of Thrones series. I'm eager to get to know you, and make the best out of this Model of the United Nations. First of all I would like to tell you a little bit about myself. I´m 18 years old and also a senior in highschool. I enjoy hanging out with my friends, taking pictures, learning new languages, travelling, watching movies, among many other things. My plan is to study film in Puebla and become a director. This is my 5th MUN conference and my third as part of the chair. If there is something I know for sure is that MUN has helped me grow as a person by giving me leadership skills, and the opportunity of having a word that actually matters in world wide problems in order to find the best solution. This topic is more than exciting for me, and hopefully you´ll find the same way. I expect your utmost performance and for you to give your nonpareil effort that is needed for this committee. Remember to be confident with what you say, if you prepared well there is no reason to be nervous. I wish you the best of lucks and I hope this conference to be a remarkable experience for everyone.
    [Show full text]
  • "Enough About Whores": Sexual Characterization in a Song of Ice and Fire
    Volume 35 Number 2 Article 4 4-15-2017 "Enough about Whores": Sexual Characterization in A Song of Ice and Fire Joseph Young Eberhard Karls University of Tubingen Follow this and additional works at: https://dc.swosu.edu/mythlore Part of the Children's and Young Adult Literature Commons Recommended Citation Young, Joseph (2017) ""Enough about Whores": Sexual Characterization in A Song of Ice and Fire," Mythlore: A Journal of J.R.R. Tolkien, C.S. Lewis, Charles Williams, and Mythopoeic Literature: Vol. 35 : No. 2 , Article 4. Available at: https://dc.swosu.edu/mythlore/vol35/iss2/4 This Article is brought to you for free and open access by the Mythopoeic Society at SWOSU Digital Commons. It has been accepted for inclusion in Mythlore: A Journal of J.R.R. Tolkien, C.S. Lewis, Charles Williams, and Mythopoeic Literature by an authorized editor of SWOSU Digital Commons. An ADA compliant document is available upon request. For more information, please contact [email protected]. To join the Mythopoeic Society go to: http://www.mythsoc.org/join.htm Mythcon 51: A VIRTUAL “HALFLING” MYTHCON July 31 - August 1, 2021 (Saturday and Sunday) http://www.mythsoc.org/mythcon/mythcon-51.htm Mythcon 52: The Mythic, the Fantastic, and the Alien Albuquerque, New Mexico; July 29 - August 1, 2022 http://www.mythsoc.org/mythcon/mythcon-52.htm Abstract George R.R. Martin’s A Song of Ice and Fire series is replete with characters who engage in sexual misconduct and violence. Yet there are subtleties in the intents and effects of their conduct that grant us, as readers, more than mere titillation: increased insight into his characters and themes.
    [Show full text]
  • Fight, Flight Or Finished: Forced Fitness Behaviours in Game of Thrones
    Education reviews Br J Sports Med: first published as 10.1136/bjsports-2017-098170 on 13 September 2017. Downloaded from Circulating hormones like testosterone, Fight, flight or finished: forced fitness cortisol, growth hormone, insulin-like growth factors and catecholamines are behaviours in Game of Thrones very important for responses in muscle to exercise and injury. They are a crucial Ryan E Rhodes,1,2 E Paul Zehr1,3,4,5,6,7,8 part of the stress response experienced by pretty much every character inhab- iting GRR Martin’s fantasy world. Even purpose and thrumming with the epineph- the word ‘stress’—with its Latin root Spoiler alert! This paper deals with plot rine rush of combat. ‘stringere’ meaning to draw tight, strain, points found in the GRR Martin books in That thundering of blood, racing heart exert or tax—seems to come right out of the ‘Song of Ice and Fire’ series and the rate, sweating and sense of power are the an episode of ‘Game of Thrones’. ‘Game of Thrones’ television production hallmarks of the fight or flight response— seasons 1–6. If you haven’t yet caught up the ability our nervous and hormonal (and why haven’t you?), please proceed systems have to energise us—briefly—for AWASH IN A SEA OF HORMONES… at your own risk. You have been warned! feats of courage, strength and power in Thriving and surviving in our world and the name of self-preservation. Call it the Martin’s hinge on the concept of homeo- ‘epinephrine rush’, the ‘thrill of the chase’, stasis in our physiological systems.
    [Show full text]
  • Neutral Faq V1.2
    NEUTRAL Neutral Tactic Cards FAQ V1.2 BRIBERY All new additions will be highlighted in blue Q: Does this also remove the effects of Attachments? (Last Update: 01/30/2019) A: No. Neutral Units HOUSE BOLTON BASTARD’S GIRLS CRUEL METHODS (Ramsay Snow, The Bastard Of Bolton) Q: Is there any effect if I remove all the “Handler” models before Q: Who exactly suffers the Panic Test at -3, the attacker or the removing all the “Dog” models? defender? A: No, a unit’s stats and card determine its capabilities, not the models on A: : If the attacker fails to destroy the defender, the attacker suffers this test. its tray Do not fail Ramsay! Neutral NCUs FEAR KEEPS A MAN ALIVE (Roose Bolton, Lord of the Dreadfort) PETYR BAELISH (Littlefinger) Q: Is the “…and 1 House Bolton unit they are engaged with may restore up to D3 Wounds” reliant on the unit failing their Morale Test, or does Q: Can Petyr trigger effects like Rapid Assault or Onslaught if he it just happen? replaces a different zone’s effect with their effect? A: The entire effect only happens if the enemy unit fails their Morale Test, A: No, these effects specifically require the zone to target the unit. See this includes restoring the D3 Wounds General FAQ. OUR BLADES ARE SHARP (Ramsay Snow, The Bastard ROOSE BOLTON (Lord of the Dreadfort) Of Bolton) Q: Does this man scare you? Q: When exactly during the attack do I use this card? A: Yes. A: Our Blades Are Sharp is used before Attack dice are rolled (and thus shares the same trigger with any similar effects/cards).
    [Show full text]
  • The Noble Houses of Westeros : Seasons 1-5 Pdf, Epub, Ebook
    GAME OF THRONES: THE NOBLE HOUSES OF WESTEROS : SEASONS 1-5 PDF, EPUB, EBOOK Running Press | 160 pages | 08 Dec 2015 | Running Press,U.S. | 9780762457977 | English | Philadelphia, United States Game of Thrones: The Noble Houses of Westeros : Seasons 1-5 PDF Book She is forced to fight three of the Northern soldiers who ended up being Stark soldiers and her skills impress Jaime. Worshipers appeal to her for guidance and foresight. Few characters on Game of Thrones inspired as much devotion as Hodor, the gentle giant who protects Bran Stark after fleeing Winterfell. Aegon the Conqueror didn't wait for anyone's approval to conquer Westeros, he just did it and so did Daenerys. In the final eigenvalue category, Daenerys performs extremely poorly. This content is imported from Instagram. Jon is super frustrated with all the other leaders since he knows how dangerous the White Walker army is. Stannis Stephen Dillane was last seen about to be slain by Brienne of Tarth Gwendoline Christie as revenge for Renly Baratheon's murder back in season two — although the killing blow was not shown on screen. Joffrey was the one that killed her father, Ned Stark, and forced her to watch. More From Game of Thrones. Like Victarion, Game Of Thrones already seems to have cut out and moved past this character's entire storyline, but, also like Victarion, the show could still surprise viewers and introduce it later than assumed. This subnetwork orbits around Jon, with Davos and Sam acting as hubs at much smaller scales. We cannot help but notice that the Faith of the Seven also organizes itself into a septet of archetypes: the seven faces of a single deity.
    [Show full text]