Speaker Identification and Its Application to Social Network Construction for Chinese Novels

2021 ◽  
pp. 2050018
Author(s):  
Yuxiang Jia ◽  
Huayi Dou ◽  
Shuai Cao ◽  
Hongying Zan
Keyword(s):  
Machine Learning ◽  
Social Network ◽  
Interpersonal Relationships ◽  
Speaker Identification ◽  
Design Feature ◽  
Network Construction ◽  
Content Understanding ◽  
The Social ◽  
Language Styles ◽  
The Relationship

Character is one of the three elements of a novel, and conversation is an important way to describe characters. The personality, emotion, and interpersonal relationships of characters are reflected in conversations. Thus, extracting conversations, speakers and other conversation elements from novels are crucial for character analysis and content understanding. We start with Jin Yong’s novels, annotate the largest Chinese corpus for speaker identification with 9721 quotes, and analyze language styles of different characters based on quotes. We then propose a machine learning-based speaker identification method, and design feature templates that show a good performance. For the application of speaker identification, we construct the social network of characters in Jin Yong’s novels based on dialog chain, which lays the foundation for the analysis of the relationship between characters in novels.

Organization of Individual Counselling of Children Brought up in Foster Families (on the example of the «Family» Centre»)

2020 ◽  
pp. 42-50
Author(s):  
Aygul Fazlyeva ◽  
Aliya Akhmetshina
Keyword(s):  
Interpersonal Relationships ◽  
Personal Characteristics ◽  
Social Situation ◽  
Individual Counseling ◽  
Emotional Instability ◽  
Foster Families ◽  
Individual Counselling ◽  
The Social ◽  
The Family ◽  
The Relationship

Children, brought up in foster families, experience various problems (diffi culties in interpersonal relationships with parents, diffi culties in communicating with peers, emotional instability), which lead to confl icts, quarrels, running away from home, destructive phenomena, etc. One of the eff ective forms of working with children brought up in foster families is individual counselling. Individual counselling is used by various specialists (psychologists, educators, psychotherapists), where a special place is taken by a social educator. His or her activity involves the implementation of social-protective, preventive, educational, informational, advisory functions. In the process of organizing individual counseling, the social educator takes into account the social situation of the family and the child, personal characteristics, social conditions, social and cultural characteristics and the nature of the relationship with the social environment. To organize individual counseling, a social educator needs to master various and eff ective techniques, and take into account a number of recommendations. An analysis of the literature and practical socio-pedagogical experience led to an understanding of the insuffi cient degree of elaboration of this issue. The purpose of this article was the solution to this problem.

scholarly journals Ego-Centric Social Network Analysis in Marketing of Fish From Cage Culture System In Simalungun District, Indonesia

2019 ◽  
Vol 8 (4) ◽  
pp. 105-113
Author(s):  
Feriel Amelia Sembiring ◽  
Fikarwin Zuska ◽  
Bengkel Ginting ◽  
Rizabuana Ismail ◽  
Henry Sitorus
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Analysis ◽  
Culture System ◽  
Qualitative Approach ◽  
Mutual Trust ◽  
Cage Culture ◽  
The Social ◽  
The Village ◽  
The Relationship

Aquaculture of Cage Culture is one of the main activities carried out by the community in the village of Haranggaol to fulfill their economic needs. This cultivation business establishes a relationship between traders and cages in terms of marketing their crops. There are 3 egocentric actors in the Haranggaol area. They are collectors (entrepreneurs/farmers who own capital), namely the Rohakinian group, the Siharo group, and the Paimaham group. Through these three egocentric actors, a social network is formed with several alters. Based on the qualitative approach with use Ucinet software, the mapping of their social networks can be seen as follows: alter actors connected to the Rohakinian group are 12 farmers in the group and 2 farmers outside the group with a density of 0.033. There are 27 alter actors connected to the Siharo group, 21 from the group and 6 from outside the group with a density of 0.014. There are 27 alter actors connected to the Paimaham group, namely 36 farmers from their groups and 10 farmers outside the group with a density of 0.005. The social networks that occur between these actors are intertwined due to the existence of kinship relationships, family or close friends who know each other among them. The relationship between family, family or close friends built with mutual trust make this network integrated.

Social Networks and Social Complexity in Female-bonded Primates

2010 ◽  
Author(s):  
Julia Lehmann ◽  
Katherine Andrews ◽  
Robin Dunbar
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Social Complexity ◽  
Social Bonds ◽  
Primate Brain ◽  
The Social ◽  
Group Members ◽  
Primate Group ◽  
Network Metrics ◽  
The Relationship

Most primates are intensely social and spend a large amount of time servicing social relationships. The social brain hypothesis suggests that the evolution of the primate brain has been driven by the necessity of dealing with increased social complexity. This chapter uses social network analysis to analyse the relationship between primate group size, neocortex ratio and several social network metrics. Findings suggest that social complexity may derive from managing indirect social relationships, i.e. relationships in which a female is not directly involved, which may pose high cognitive demands on primates. The discussion notes that a large neocortex allows individuals to form intense social bonds with some group members while at the same time enabling them to manage and monitor less intense indirect relationships without frequent direct involvement with each individual of the social group.

The family of a child with chronic illness and its social relationships

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M H N Souza ◽  
T J Santos ◽  
R N Vasconcellos ◽  
M M Costa ◽  
A S Lira ◽  
...  
Keyword(s):  
Social Network ◽  
Chronic Illness ◽  
Self Care ◽  
Public Health Problem ◽  
Health Protection ◽  
Major Public Health Problem ◽  
Research Committee ◽  
The Social ◽  
The Family ◽  
The Relationship

Abstract Introduction The family life of a child with chronic illness is marked by several determinants and demands for care. Within that context, the greater the support received, the greater the resources available to face vulnerability, and to respond positively to guidance and care. Objectives describing the social network of families of children with chronic illness, and understanding the meaning of the relationship of the family caregiver with the members of his/her social network. Methods Qualitative research with nineteen relatives of children with chronic diseases at a rehabilitation center in the city of Rio de Janeiro, Brazil. The theoretical framework of Sanicola's social network was used. Data were collected in November 2019 by semi-structured interviews and analyzed using the content analysis technique. The research was approved by the Ethics and Research Committee of the participating institutions. The social network map showed the presence of few members and mothers as the main caregivers. The main problems among children were: autism, Down syndrome, cognitive disorders and cerebral palsy. Among the most involved people with the caregivers, friends, sisters and grandparents stood out as the ones who offered material, financial and emotional support. Rehabilitation unit support (secondary level) and dissatisfaction with the primary health unit were mentioned. Conclusions The social network of children with chronic illness is a small family network marked by social vulnerability and the female gender as responsible for care. It is noteworthy that the weakness in the relationship with health professionals at primary care level can compromise care continuity. Therefore, it is recommended to professionals to know the social network of the clientele served, as well as interacting and strengthening this network in order to provide more effective actions for health protection, rehabilitation and supported self-care strategies. Key messages Chronic childhood disease is a major public health problem. Being aware of social network favors the implementation of more actions toward health protection, rehabilitation and supported self-care strategies.

Application of Computer System in the Study of Sociology

2014 ◽  
Vol 926-930 ◽  
pp. 1680-1683
Author(s):  
Ying Ming Xu ◽  
Shu Juan Jin
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Computer Algorithms ◽  
Useful Knowledge ◽  
Social Network Data ◽  
Analysis Task ◽  
Original Analysis ◽  
The Social ◽  
The Relationship

With the development of information technology, more and more data about social to be collected. If we can analyze them effectively, it will help people to understand sociological understanding, promoting the development of social science. But the increasing amount of data and analysis to put forward a huge challenge. Now the social networks have already surpassed the processing ability of the original analysis means, must use a more effective tool to complete the analysis task. The computer as a way of helping people from massive data to find the potential useful knowledge tools, play an important role in many fields. Social network analysis, also known as link mining, refers to the handling of the relationship between social network data in the computer method. In this paper, the methods of computer and the social network analysis was introduced in this paper and the computer algorithms are summarized in the application of social network analysis.

scholarly journals Examination of ‘Interests’ and ‘Activities’ of Social Network users

2019 ◽  
Vol 9 (2) ◽  
pp. 2688-2693
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Social Network ◽  
General Population ◽  
Social Media Marketing ◽  
Family Status ◽  
Learning Methods ◽  
Attribute Data ◽  
Machine Learning Methods ◽  
The Social

The present study relates to the analysis of attribute data related to users of the social network VK. The general population N = 52,614 users is the intersection of audiences from two communities for social media marketing. Based on the collected statistics on the “interests” attribute, one can compile a generalized portrait of an IT specialist and online marketer: this is a man aged about 30 years old, not married, or who defines his family status as “everything is complicated”. He speaks an average of two languages, works for an organization, or studies at a university. He has about 370 followers on VK. The result based on the data from the field 'activities' is very close to the data from the field 'interests', and gives a similar picture of the generalized portrait of a specialist. As part of the study, the authors have learned how to segment users into the users that identify themselves as „IT specialists or online marketers‟, and „other‟ users, using machine learning methods

scholarly journals Linking Parasitism to Network Centrality and the Impact of Sampling Bias in its Interpretation

2021 ◽  
Author(s):  
Zhihong XU ◽  
Andrew J.J MacIntosh ◽  
Alba Castellano-Navarro ◽  
Emilo Macanas-Martuinez ◽  
Takafumi Suzumura ◽  
...  
Keyword(s):  
Social Network ◽  
Infection Intensity ◽  
Sampling Bias ◽  
Japanese Macaques ◽  
Parasite Infection ◽  
Network Centrality ◽  
The Social ◽  
Social Network Centrality ◽  
The Impact ◽  
The Relationship

Group living is beneficial for individuals, but also comes with costs. One such cost is the increased possibility of pathogen transmission, because increased numbers or frequencies of social contacts is often associated with increased parasite abundance or diversity. The social structure of a group or population has been shown to be paramount to patterns of infection and transmission. Yet, for various reasons, studies investigating the social transmission of parasites in animals, and especially in primates, have only taken into account parts of the group (e.g., only adults or even only adult females), which is likely to impact the interpretation of any results linking sociality and parasitism. Here, we investigated the relationship between social network centrality and an estimate of gastrointestinal helminth infection intensity in a complete group of Japanese macaques (Macaca fuscata). We then tested the impact of missing parts of the group on this relationship. We aimed to test: (1) whether social network centrality - the number of partners (degree), frequency of interactions (strength) and level of social integration (eigenvector) - was linked to parasite infection intensity; and, (2) to what extent excluding all or portions of individuals within the group from the analyses might influence the observed relationship. We conducted social network analysis on data collected from one complete group of Japanese macaques over two months on Koshima Island, Japan, to relate metrics of network centrality to an index of parasite infection intensity (eggs per gram of feces: EPG). We then ran a series of knock-out simulations to test the effect(s) of accounting only for certain age-sex classes on the observed relationship. General linear mixed models showed that, in the complete network, centrality was positively associated with infection by the examined geohelminths (Oesophagostomum aculeatum, Trichuris trichiura and Strongyloides fuelleborni), but in partial networks with only adult females, only juveniles, or random subsets of the group, the strength of this relationship - albeit still positive - lost statistical significance. Our study indicates that sampling bias can impact the relationship that is observed between social interaction and parasitism. In addition to supporting earlier results linking geohelminths to Japanese macaque social networks, this work introduces important methodological considerations for research into the dynamics of social transmission, with applications to infectious disease epidemiology, population management, and health interventions.

scholarly journals SOCIAL MEDIA AND PROTESTS ENGAGEMENT: WHAT’S GENDER GOT TO DO WITH IT?

2020 ◽  
Vol 11 (10) ◽  
pp. 22-31
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Herd Behavior ◽  
Path Modeling ◽  
The Social ◽  
Political Protests ◽  
The Relationship ◽  
Collective Activism ◽  
Positive Effect

Social media allows people to organize themselves and take action against social injustices and policies. Used to spread information, social media has been linked to the dissemination of political protests around the world. Relying on the Theory of Planned Behavior and Herd Behavior, this studied aimed at identifying gender differences in social network protests’ participation. Making use of multivariate data analysis through Partial Least Squares Path Modeling (PLS-SEM), 318 Brazilians responded the study and the results indicate that there are differences between the relationships of the antecedents of the use of the social network between users of different genders. The differences are in the relationship between the attitude and the use of social networks to participate in protests, with a positive effect on men and negative on women. This means that men understand that participating in online protests through social networks can improve awareness of events, giving strength to the movement and helping to ease the tension of protests, while women do not. The results go beyond the studies on which they were based, including the gender multigroup analysis and presenting a new model of technology adoption with new elements, such as the herd behaviour, embracing the imitation, and the uncertainty constructs. There is also a contribution to a greater understanding of the influence of social media on collective activism or movements.

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