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Algorithms and dynamical models for communities and reputation in social networks [electronic resource]

Algorithms and dynamical models for communities and reputation in social networks [electronic resource]

자료유형
E-Book(소장)
개인저자
Traag, Vincent.
서명 / 저자사항
Algorithms and dynamical models for communities and reputation in social networks [electronic resource] / Vincent Traag.
발행사항
Cham :   Springer International Publishing :   Imprint: Springer,   2014.  
형태사항
1 online resource (xiv, 229 p.) : ill. (some col.).
총서사항
Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053
ISBN
9783319063911
요약
A persistent problem when finding communities in large complex networks is the so-called resolution limit. This thesis addresses this issue meticulously, and introduces the important notion of resolution-limit-free. Remarkably, only few methods possess this desirable property, and this thesis puts forward one such method. Moreover, it discusses how to asses whether communities can occur by chance or not. One aspect that is often ignored in this field is treated here: links can also be negative, as in war or conflict. Besides how to incorporate this in community detection, it also examines the dynamics of such negative links, inspired by a sociological theory known as social balance. This has intriguing connections to the evolution of cooperation, suggesting that for cooperation to emerge, groups often split in two opposing factions. In addition to these theoretical contributions, the thesis also contains an empirical analysis of the effect of trading communities on international conflict, and how communities form in a citation network with positive and negative links.
일반주기
Title from e-Book title page.  
내용주기
Introduction -- Part I Communities in Networks -- Community Detection -- Scale Invariant Community Detection -- Finding Significant Resolutions -- Modularity with Negative Links -- Applications -- Part II Social Balance & Reputation -- Social Balance -- Models of Social Balance -- Evolution of Cooperation -- Ranking Nodes Using Reputation.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Online social networks --Mathematical models. Data mining.
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100 1 ▼a Traag, Vincent.
245 1 0 ▼a Algorithms and dynamical models for communities and reputation in social networks ▼h [electronic resource] / ▼c Vincent Traag.
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2014.
300 ▼a 1 online resource (xiv, 229 p.) : ▼b ill. (some col.).
490 1 ▼a Springer Theses, Recognizing Outstanding Ph.D. Research, ▼x 2190-5053
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a Introduction -- Part I Communities in Networks -- Community Detection -- Scale Invariant Community Detection -- Finding Significant Resolutions -- Modularity with Negative Links -- Applications -- Part II Social Balance & Reputation -- Social Balance -- Models of Social Balance -- Evolution of Cooperation -- Ranking Nodes Using Reputation.
520 ▼a A persistent problem when finding communities in large complex networks is the so-called resolution limit. This thesis addresses this issue meticulously, and introduces the important notion of resolution-limit-free. Remarkably, only few methods possess this desirable property, and this thesis puts forward one such method. Moreover, it discusses how to asses whether communities can occur by chance or not. One aspect that is often ignored in this field is treated here: links can also be negative, as in war or conflict. Besides how to incorporate this in community detection, it also examines the dynamics of such negative links, inspired by a sociological theory known as social balance. This has intriguing connections to the evolution of cooperation, suggesting that for cooperation to emerge, groups often split in two opposing factions. In addition to these theoretical contributions, the thesis also contains an empirical analysis of the effect of trading communities on international conflict, and how communities form in a citation network with positive and negative links.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Online social networks ▼x Mathematical models.
650 0 ▼a Data mining.
830 0 ▼a Springer Theses, Recognizing Outstanding Ph.D. Research.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-06391-1
945 ▼a KLPA
991 ▼a E-Book(소장)

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No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 006.754 등록번호 E14033260 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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