Centrality in affiliation networks

Faust, Katherine

doi:10.1016/s0378-8733(96)00300-0

Cited by 419 publications

(301 citation statements)

References 32 publications

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“…In such networks, individuals are related to one another through a collaborative activity (e.g. a film project); and activities are related to one another through common collaborators (Faust 1997; see Appendix A for a demonstrative example).…”

Section: Film Industrial Network and Functional Rolesmentioning

confidence: 99%

The role of network embeddedness in film success

Packard

Aribarg

Eliashberg

et al. 2016

International Journal of Research in Marketing

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In the early stage of film development when producers assemble a development team, it is important to understand the means by which different team members may contribute to the film's box office. Building upon theories from marketing and sociology, we propose that these contributions arise from team members' positions, or embeddedness, in a social network weaved through past film collaborations. These collaborations provide team members with opportunities to draw knowledge and skills from the network for new film projects. Our conceptual framework accentuates two aspects of network embeddedness: positional embeddedness (PE)-how well a person is tied to well-connected others, and junctional embeddedness ( JE)-the extent to which a person bridges sub-communities in the industry. We examine how the importance of PE and JE varies by functional role (cast versus crew), and is moderated by the film's studio affiliation.Analyzing more than 15,000 industry professionals over nearly two decades of film collaborations, this research reveals crucial and divergent relationships: while high PE is more valuable for the cast, high JE is critical for the crew. This role distinction also depends on a film's studio affiliation. Managerially, these findings provide guidance to film executives and producers in revenue maximization through strategic team assembly, and to talents in career management. The Role of Network Embeddedness in Film Success ABSTRACTIn the early stage of film development when producers assemble a development team, it is important to understand the means by which different team members may contribute to the film's box office. Building upon theories from marketing and sociology, we propose that these contributions arise from team members' positions, or embeddedness, in a social network weaved through past film collaborations. These collaborations provide the members with the opportunities to draw knowledge and skills from the network for new film projects. Our conceptual framework accentuates two aspects of network embeddedness: positional embeddedness (PE) -how well a person is tied to well-connected others, and junctional embeddedness (JE) -the extent to which a person bridges sub-communities in the industry. We examine how the importance of PE and JE varies by functional role (cast versus crew), and is moderated by the film's studio affiliation.Analyzing more than 15,000 industry professionals over nearly two decades of film collaborations, this research reveals crucial and divergent relationships: while high PE is more valuable for the cast, high JE is critical for the crew. This role distinction also depends on a film's studio affiliation. Managerially, these findings provide guidance to film executives and producers in revenue maximization through strategic team assembly, and to talents in career management.

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Section: Film Industrial Network and Functional Rolesmentioning

confidence: 99%

The role of network embeddedness in film success

Packard

Aribarg

Eliashberg

et al. 2016

International Journal of Research in Marketing

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“…The most prominent ones include classical centrality measures in complex networks such as degree centrality [40][41][42], betweenness centrality [43], closeness centrality [44], and eigenvector centrality [45][46][47] , PageRank [22][23][24]48] and it extensions and k-core algorithm [28,49,50] . Classical centrality measurements rely on network topology.…”

Section: Influential Spreaders Identification Algorithms In Complex Nmentioning

confidence: 99%

Identifying the influential spreaders in multilayer interactions of online social networks

Al-Garadi

Varathan

Ravana

et al. 2016

IFS

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Abstract. Online social networks (OSNs) portray a multi-layer of interactions through which users become a friend, information is propagated, ideas are shared, and interaction is constructed within an OSN. Identifying the most influential spreaders in a network is a significant step towards improving the use of existing resources to speed up the spread of information for application such as viral marketing or hindering the spread of information for application like virus blocking and rumor restraint. Users communications facilitated by OSNs could confront the temporal and spatial limitations of traditional communications in an exceptional way, thereby presenting new layers of social interactions, which coincides and collaborates with current interaction layers to redefine the multiplex OSN. In this paper, the effects of different topological network structure on influential spreaders identification are investigated. The results analysis concluded that improving the accuracy of influential spreaders identification in OSNs is not only by improving identification algorithms but also by developing a network topology that represents the information diffusion well. Moreover, in this paper a topological representation for an OSN is proposed which takes into accounts both multilayers interactions as well as overlaying links as weight. The measurement results are found to be more reliable when the identification algorithms are applied to proposed topological representation compared when these algorithms are applied to single layer representations.

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“…Faust (1997) explica que, na relação de afiliação, cada ator está ligado a uma entidade e cada entidade a um ator. As ligações entre atores de um mesmo conjunto são peculiares às redes de um modo.…”

Section: Análise De Redes Sociaisunclassified

Redes sociais de dois modos: aspectos conceituais

Tomaél

Marteleto

2013

Transinformação

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ResumoAs redes de dois modos compreendem as ligações entre dois conjuntos distintos de entidades; o termo "modo" refere-se a categorias específicas de entidades. Rede de um modo se caracteriza quando membros de uma rede têm ligações com outros membros da mesma categoria -como uma rede de pesquisadores -, e rede de dois modos se caracteriza quando seus membros possuem ligações com atores de outras categorias. A rede de dois modos é representada pela interação entre atores e entidades sociais como um único sistema social, como, por exemplo, as ligações entre pesquisadores e instituições (dois conjuntos de atores) em uma mesma rede. O objetivo deste artigo é conceituar e apresentar as redes de dois modos, que são empregadas nos estudos que utilizam a metodologia Análise de Redes Sociais. Por meio da análise da literatura, selecionaram--se artigos que enfatizam aspectos conceituais das redes sociais de dois modos, o que permitiu descrever e destacar exemplos e aplicações desse tipo de rede. No Brasil ainda são poucos os estudos publicados que mencionam ou empregam aplicações de Análise de Rede Sociais de dois modos. Com essa ênfase, este artigo contribui para disseminar aplicações de redes de dois modos.Palavras-chave: Análise de redes sociais. Redes de afiliação. Redes sociais. Redes sociais de dois modos. Abstract Two-mode networks consist of connections between two distinct sets of entities. The term "mode" refers to specific categories of entities. The term one-mode networks is used when members of a network are connected with other members in the same category -as a network of researchers -and the term two-mode network is used when members are connected with actors from other categories. The two-mode network is represented by the interaction among actors and social entities as a single social system, such as the connections between researchers and institutions (two sets of actors

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Centrality in affiliation networks

Cited by 419 publications

References 32 publications

The role of network embeddedness in film success

The role of network embeddedness in film success

Identifying the influential spreaders in multilayer interactions of online social networks

Redes sociais de dois modos: aspectos conceituais

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