scholarly journals Plot Structure Decomposition in Narrative Multimedia by Analyzing Personalities of Fictional Characters

2021 ◽  
Vol 11 (4) ◽  
pp. 1645
Author(s):  
O-Joun Lee ◽  
Eun-Soon You ◽  
Jin-Taek Kim
Keyword(s):  
Social Networks ◽  
Social Relationships ◽  
Fictional Characters ◽  
Story Line ◽  
Popular Narrative ◽  
Personality Changes ◽  
Structure Decomposition ◽  
Plot Structure

This study aims to decompose plot structures of stories in narrative multimedia (i.e., creative works that contain stories and are distributed through multimedia). Since a story is interwoven with main plots and subplots (i.e., primary and ancillary story lines), decomposing a story into multiple story lines enables us to analyze how events in the story are allocated and logically connected. For the decomposition, the existing studies employed character networks (i.e., social networks of characters that appeared in a story) and assumed that characters’ social relationships are consistent in a story line. However, these studies overlooked that social relationships significantly change around major events. To solve this problem, we attempt to use the changes for distinguishing story lines rather than suffer from the changes. We concentrate on the changes in characters’ social relationships being the result of changes in their personalities. Moreover, these changes gradually proceed within a story line. Therefore, we first propose features for measuring changes in personalities of characters: (i) Degrees of characters in character networks, (ii) lengths of dialogues spoken by characters, and (iii) ratios of out-degrees for in-degrees of characters in character networks. We supposed these features reflect importance, inner/outer conflicts, and activeness of characters, respectively. Since characters’ personalities gradually change in a story line, we can suppose that the features also show gradual story developments in a story line. Therefore, we conduct regression for each feature to discover dominant tendencies of the features. By filtering scenes that do not follow the tendencies, we extract a story line that exhibits the most dominant personality changes. We can decompose stories into multiple story lines by iterating the regression and filtering. Besides, personalities of characters change more significantly in major story lines. Based on this assumption, we also propose methods for discriminating main plots. Finally, we evaluated the accuracy of the proposed methods by applying them to the movies, which is one of the most popular narrative multimedia.

scholarly journals Celebrity Couples as Business Families: A Social Network Perspective

2021 ◽  
pp. 089448652110503
Author(s):  
Yasaman Gorji ◽  
Michael Carney ◽  
Rajshree Prakash
Keyword(s):  
Social Networks ◽  
Social Relationships ◽  
Family Business ◽  
Economic Capital ◽  
The Family ◽  
Hollywood Movies ◽  
Career Performance ◽  
Business Family ◽  
Production Industry

We depict Hollywood celebrity couples as business families who participate in the project-based movie production industry, which is a temporary and disaggregated form of organization where skilled individuals are linked to one another through contractual and social relationships. Appearing in Hollywood movies generates celebrity capital, which can be converted into economic capital through involvement in endorsements and other rent-generating activities. Finding projects is facilitated by membership in high-quality social networks, and we consider celebrity marriage as a means of merging two individuals’ social networks, which can be mutually beneficial for both parties. We develop and test three hypotheses about the quality of social networks prior to and after marriage and analyze their impact upon celebrities’ postmarriage career performance. We contribute to the family business literature by exploring hybridized and adaptive forms of business family in contemporary project industries, which has the potential to enlarge family business scholars’ research horizons.

Small Worlds, Material Culture and Ancient Near Eastern Social Networks

2010 ◽  
Author(s):  
Fiona Coward
Keyword(s):  
Social Networks ◽  
Material Culture ◽  
Social Relationships ◽  
Spatial Scales ◽  
Radical Change ◽  
Global Networks ◽  
Near Eastern ◽  
Face To Face ◽  
The Social ◽  
Agricultural Societies

The cognitive, psychological and sociological mechanisms underpinning complex social relationships among small groups are a part of our primate heritage. However, among human groups, relationships persist over much greater temporal and spatial scales, often in the physical absence of one or other of the individuals themselves. This chapter examines how such individual face-to-face social interactions were ‘scaled up’ during human evolution to the regional and global networks characteristic of modern societies. One recent suggestion has been that a radical change in human sociality occurred with the shift to sedentary and agricultural societies in the early Neolithic. The discussion presents the results of a focused study of the long-term development of regional social networks in the Near East, using the distribution of different forms of material culture as a proxy for the social relationships that underpinned processes of trade, exchange and the dissemination of material culture practices.

Constraints on Social Networks

2010 ◽  
Author(s):  
Sam G. B. Roberts
Keyword(s):  
Social Networks ◽  
Social Relationships ◽  
Human Evolution ◽  
Upper Bound ◽  
Brain Size ◽  
Network Approach ◽  
Cognitive Constraints ◽  
Hominin Evolution ◽  
Over Time ◽  
Size And Structure

In both modern humans and non-human primates, time and cognitive constraints place an upper bound on the number of social relationships an individual can maintain at a given level of intensity. Similar constraints are likely to have operated throughout hominin evolution, shaping the size and structure of social networks. One of the key trends in human evolution, alongside an increase in brain size, is likely to have been an increase in group size, resulting in a larger number of social relationships that would have to be maintained over time. The network approach demonstrates that relationships should not be viewed as dyadic ties between two individuals, but as embedded within a larger network of ties between network members. Together with relationships based on kinship, this may have allowed for larger groups to be maintained among hominins than would be possible if such networks were based purely on dyadic ties between individuals.

Web Mining and Social Network Analysis

Data Mining ◽  
2013 ◽  
pp. 326-335
Author(s):  
Roberto Marmo
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Web Mining ◽  
Social Network Mining ◽  
Data Mining Algorithms ◽  
Instant Messenger ◽  
Mining Algorithms

Research on social networks has advanced significantly due to wide variety of on-line social websites and very popular Web 2.0 application. Social network analysis views social relationships in terms of network and graph theory about nodes (individual actors within the network) and ties (relationships between the actors). Using web mining techniques and social networks analysis it is possible to process and analyze large amount of social data (such as blogtagging, online game playing, instant messenger etc.) and by this to discover valuable information from data. In this way, we can understand the social structure, social relationships and social behaviors. This new approach is also denoted as social network mining. These algorithms differ from established set of data mining algorithms developed to analyze individual records, because social network datasets are called relational due to centrality of relations among entities. This chapter also sets out a process to apply web mining.

Social Networks and Social Relationships during the Sojourn

2017 ◽  
pp. 134-164
Author(s):  
Rosamond Mitchell ◽  
Nicole Tracy-Ventura ◽  
Kevin McManus
Keyword(s):  
Social Networks ◽  
Social Relationships

Weighted social networks for a large scale artificial society

2016 ◽  
Vol 30 (02) ◽  
pp. 1550276 ◽  
Author(s):  
Zong Chen Fan ◽  
Wei Duan ◽  
Peng Zhang ◽  
Xiao Gang Qiu
Keyword(s):  
Social Networks ◽  
Social Structure ◽  
Social Relationships ◽  
Large Scale ◽  
Census Data ◽  
Clustering Coefficient ◽  
Generation Model ◽  
Social Phenomenon ◽  
Artificial Society ◽  
Synthetic Population

The method of artificial society has provided a powerful way to study and explain how individual behaviors at micro level give rise to the emergence of global social phenomenon. It also creates the need for an appropriate representation of social structure which usually has a significant influence on human behaviors. It has been widely acknowledged that social networks are the main paradigm to describe social structure and reflect social relationships within a population. To generate social networks for a population of interest, considering physical distance and social distance among people, we propose a generation model of social networks for a large-scale artificial society based on human choice behavior theory under the principle of random utility maximization. As a premise, we first build an artificial society through constructing a synthetic population with a series of attributes in line with the statistical (census) data for Beijing. Then the generation model is applied to assign social relationships to each individual in the synthetic population. Compared with previous empirical findings, the results show that our model can reproduce the general characteristics of social networks, such as high clustering coefficient, significant community structure and small-world property. Our model can also be extended to a larger social micro-simulation as an input initial. It will facilitate to research and predict some social phenomenon or issues, for example, epidemic transition and rumor spreading.

Dalit Capital and Markets: A Case of Unfavourable Inclusion

2018 ◽  
Vol 4 (1) ◽  
pp. 51-61
Author(s):  
Aseem Prakash
Keyword(s):  
Social Networks ◽  
Social Relationships ◽  
Economic Resources ◽  
Nation State ◽  
Constitutional Order ◽  
Goods And Services ◽  
Market State ◽  
Relationship Of ◽  
Institutional Space ◽  
The Relationship

The nature of our constitutional order is changing from a nation-state into a market-state. The market-state seeks to acquire legitimacy not as a provider or distributor of welfare goods and economic resources but strives to provide an enabling framework for the society to secure opportunities and better goods and services. As markets have acquired a pre-eminent institutional space, this article seeks to understand the aspirations of Dalits to enter markets as owners of capital and trade in diverse goods and services. The article examines the relationship between caste and capitalism, and argues that the current relationship of caste and capitalism does not operate on the notions of merit and efficiency. Markets are embedded in social relationships and, therefore, are more prone to be influenced by social customs rather than ideas of modern contracts, merit and efficiency. Drawing upon interviews with several successful Dalit entrepreneurs and their experiences, the article finds ‘unfavoured’ or ‘adverse’ inclusion of Dalits in the markets caused by social networks populated and controlled by upper-caste business peers.

Social Networks and Psychiatric Morbidity in New Zealand Women

1992 ◽  
Vol 26 (3) ◽  
pp. 485-492 ◽  
Author(s):  
S. E. Romans ◽  
V. A. Walton ◽  
G. P. Herbison ◽  
P. E. Mullen
Keyword(s):  
Social Networks ◽  
New Zealand ◽  
Rural Communities ◽  
Social Relationships ◽  
Rural Women ◽  
Psychiatric Morbidity ◽  
Normative Values ◽  
Part Time ◽  
Demographic Subgroup ◽  
Demographic Subgroups

A random community survey of urban and rural New Zealand women revealed higher rates of psychiatric morbidity in subjects who reported poorer social support. Substantial differences in social networks were found between demographic subgroups. Rural women described better than expected social relationships, giving some support to the pastoral ideal of well integrated rural communities. Women in part-time employment also described better social networks. Elderly, low socio-economic, and widowed, separated and divorced women had poorer social relationships. It is suggested that normative values for social network measures for each demographic subgroup will need to be established before the clinical significance of deviations from the norm can be meaningfully evaluated. Also, the mechanisms linking social networks to health may vary in different subgroups.

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