Analysis Of Social Behavior Research Articles

Perceived Benefits and Costs Contribute to Young and Older Adults' Selectivity in Social Relationships.

This article explores the influence of perceived benefits and costs on willingness to engage in social interactions in 32 young adults aged 20 to 40 years and 38 older adults aged 65 to 85 years. Results showed (1) increases in perceived benefits and importance of each relationship but decreases in perceived costs associated with increases in network centrality, (2) reduced willingness in older adults to engage with social partners for whom perceived costs outweighed benefits, and (3) perceived costs and benefits subsumed the effects of the affective qualities of social interactions. Findings support an analysis of social behavior based on the selective engagement theory (Hess, 2014), with selection effects in willingness to engage in social interactions related to perceived benefits and costs.

Subhumanism: The re‐emergence of an affective‐symbolic ontology in the migration debate and beyond

AbstractA critical analysis of social behavior proposes that the contempt for immigrants, refugees, or asylum seekers around the world is explicitly or implicitly powered by an ontology of the subhuman, a term that was used in early 20th century American race and eugenic theory, as well as in fascist Germany, to describe and justify the mistreatment of minorities or perceived enemies. “Migrants” are not afforded the same rights and respect as other people, because they are not conceived as real humans, and their subhuman status allows them to be understood as criminals, degenerates, and even parasites, which are infesting the orderly body of the nation. Subhuman theory works with affects rather than with theoretical analyses, with visualizations and imaginations instead of intellectual concepts, and with a normalized, manufactured common sense. It is argued that at the core of the subhuman lies the idea of chaos, unhealthy appearance, and disorderly behavior, from which humanity is removed. Discussed are processes of subhumanization, the relationship between subhumanism and racism as well as fascism, and the dialectics between the particular and the general, which proposes a shared world for all humans. It is suggested that psychological concepts are limited, and that political, legal, and resisting action is required to combat the re‐emergence of a normalized ontology.

Analysis of social network user behaviour and its influence

Analysis of social network user behaviour and its influence

Fusion Sign-Vehicles: A Semiotics Analysis of Social and Musical Behavior in South Asian Fusion A Cappella

In 1996, the first collegiate South Asian A Cappella choir, Penn Masala, was founded at the University of Pennsylvania. Over the last twenty-two years, nearly fifty such groups have been founded at colleges and universities across the United States. These ensembles blend western popular music with South Asian music, namely Bollywood film songs. Membership in these groups typically involves participants with South Asian ethnic backgrounds as well as participants from various other ethnic backgrounds. This paper discusses the way in which sign-vehicles of South Asian a cappella performance aid in the construction of the ethnicities of its performers, showing how identities are blended, reinvented, and performed in both musical and social settings. Specifically, I will analyze the way that Dhamakapella, a South Asian A Cappella choir at Case Western Reserve University, behaves in a fashion that conveys a fusion of South Asian and western identities.

Application of clustering algorithm in social network user scenario prediction

In order to improve the ability of social network user behavior analysis and scenario pattern prediction, optimize social network construction, combine data mining and behavior analysis methods to perform social network user characteristic analysis and user scenario pattern optimization mining, and discover social network user behavior characteristics. Design multimedia content recommendation algorithms in multimedia social networks based on user behavior patterns. The current existing recommendation systems do not know how much the user likes the currently viewed content before the user scores the content or performs other operations, and the user’s preference may change at any time according to the user’s environment and the user’s identity, Usually in multimedia social networks, users have their own grading habits, or users’ ratings may be casual. Cluster-based algorithm, as an application of cluster analysis, based on clustering, the algorithm can predict the next position of the user. Because the algorithm has a “cold start”, it is suitable for new users without trajectories. You can also make predictions. In addition, the algorithm also considers the user’s feedback information, and constructs a scoring system, which can optimize the results of location prediction through iteration. The simulation results show that the accuracy of social network user scenario prediction using this method is higher, the accuracy of feature registration of social network user scenario mode is improved, and the real-time performance of algorithm processing is better.

Application of machine learning and cloud computing in social media behavior analysis

It is of great theoretical significance and practical value to analyze the characteristics of users and behaviors in social networks, to study the personalized recommendation algorithms of users, to explore the inherent laws of event development, and to predict the movement of information or opinions. This paper analyzes the Weibo behavior through machine learning and cloud computing technology. Moreover, this paper studies and analyzes traditional network algorithms, and proposes a microblog recommendation algorithm based on statistical features. At the same time, the research content of this paper focuses on microblog contents, user characteristics, user preferences, and influence levels. The algorithm has simple structure and strong computing performance and performs feature data mining through cloud computing big data method, which is suitable for online mining microblog behavior. In addition, the performance of the algorithm was analyzed by design comparison experiments. The research indicates that the research algorithm proposed in this paper has certain advantages, which can be applied to network behavior analysis mining, and can provide theoretical reference for subsequent related research.

P.418 Automated analysis of social behaviour in mouse models relevant for neuropsychiatric disorders

P.418 Automated analysis of social behaviour in mouse models relevant for neuropsychiatric disorders

Effect of additional outdoor yard on behaviour of lactating domestic goats (Capra hircus) in different seasons

This study covered the effects of an improvement of the breeding environment on the behaviour of lactating goats. Two groups of 25 lactating Saanen goats were used: animals were reared in indoor pen (1.6 m2/head) without (control IP group) or with (experimental OY group) access to an outdoor yard (1.0 m2/head). For the trial, carried out in two different periods (winter and spring) 5 days lasting, a specific ethogram including feeding, resting, moving and play fighting (mock butting) or socio-positive (nuzzling) social behaviour was developed. Animals’ behaviour was continuously video monitored. Goats in experimental OY group showed greater moving (P < 0.01), a tendency to less feeding and resting (P < 0.10). Social behaviour (butts + nuzzles), in both periods, showed significant differences (P < 0.01) between the two groups while as for the comparison among periods of the year, within the group, there were meaningful differences only for OY group (P < 0.01). Experimental OY group’s social behaviour analysis, between periods, revealed a significant difference in the outdoor yard only. On the other hand, the differences between indoor and outdoor were significant for both the periods (P < 0.01). Butts and nuzzles of the goats in the control IP group are statistically different only in the second period (P < 0.05). The OY group showed higher nuzzling in both periods, even though it was statistically confirmed only for the first one (P < 0.05). Comparing the OY group butts and nuzzles between the two periods, only butts proved statistically different (P < 0.05) according to an improvement in climatic conditions. Giving the goats the possibility to use an outdoor yard, their competitiveness increases. As for the use of the space by OY group, staying in the indoor pen and in the outdoor yard as well as the looking out activity time suggests that the behaviour of goats was influenced by climatic conditions with regard to the utilization of the outdoor yard exclusively (P < 0.01). Goats that have an external space available are more active in socialization and show greater disposition to perform their normal, natural and complete behaviour patterns.

42.3 ANIMAL MODELS OF SOCIAL ATTACHMENT DEFICITS IN ASD

Social attachments play a central role in most, if not all, levels of human interaction from parent-child attachment, friendship, and social affiliation to enduring partnerships with mates. Social attachment behaviors are clinically relevant, because devastating conditions, such as ASDs and schizophrenia, often manifest with a dramatic collapse of interpersonal interactions. It has been difficult to study social attachment, because none of the traditional genetic laboratory models exhibit adult social attachment behaviors. Prairie voles, in contrast, display social attachment as adults, such that mating partners form an enduring pair bond and display complex attachment behaviors, such as social monogamy and biparental care. Using the prairie vole as a model system for the molecular genetic analysis of social attachment behaviors, we seek to determine the neural and genetic mechanisms that underlie social attachment behaviors and to determine how genetic and environmental perturbations that correlate with the incidence of ASD affect the function of these circuits to disrupt social bonds.

Video-based social behavior recognition based on kernel relevance analysis

This paper presents a kernel-based relevance analysis for video data to support social behavior recognition. Our approach, termed KRAV, is twofold: (i) A feature ranking based on centered kernel alignment (CKA) is carried out to match social semantic features with the output labels (individual and group behaviors). The employed method is an extension of the conventional CKA to mitigate the imbalance effect of unusual human behaviors. (ii) A classification stage to perform the behavior prediction. For concrete testing, the Israel Institute of Technology social behavior database is employed to assess the KRAV under a tenfold cross-validation scheme. Attained results show that the proposed approach for the individual recognition task obtains 0.5925 $$F_1$$ measure using 50 relevant features. Likewise, for the group recognition task obtains 0.8094 $$F_1$$ measure using 12 relevant features, which in both cases outperforms state-of-the-art results concerning the classification performance and number of employed features. Also, our video-based approach would assist further social behavior analysis from the set of features selected regarding the recognition of individual profiles and group behaviors.

Algorithmic Analysis of Social Behavior for Profiling, Ranking, and Assessment

In this chapter we look at the global development of “people-scoring” and its implications. Unlike traditional credit scoring, which is used to evaluate individuals’ financial trustworthiness, social scoring seeks to comprehensively rank individuals based on social, reputational, and behavioral attributes. The implications of widespread social scoring are far-reaching and troubling. Bias and error, discrimination, manipulation, privacy violations, excessive market power, and social segregation are only some of the concerns we have discussed and elaborated on in previous works. In this chapter, we describe the global shift from financial scores to social credit, and show how, notwithstanding constitutional, statutory, and regulatory safeguards, the U.S. and other western democracies are not as far from social credit as we seem to believe.

Fenomena Politik Uang (Money Politic) Pada Pemilihan Calon Anggota Legislatif di Desa Sandik Kecamatan Batu Layar Kabupaten Lombok Barat

This research aims to determine the political phenomenon of money that occurs in the community, it is difficult to stop and become the habit or tradition of certain political candidates or contestants to the community ahead of Of the elections to get the most support and vote from the community. The purpose of research is to know the factors of the cause of money politics, how the process of occurrence in the community and the impact of the political practice of money for the community. The research uses a paradigm analysis of social behaviour with Exchange theory to explore the political phenomena of money that often occur in the community, and is supported by several theories and concepts supporting the theory of power, political participation and Political money. The research methods used in this study are qualitative. Research location in Sandik village, Batu Layar District, West Lombok. The informant in the study consisted of the community, the successful team of certain political candidates or contestants to other important figures within the village. Datacollection techniques are conducted by conducting field observations, in-depth interviews and documentation on interviews and photo activities. The results show that (1) the factorsthat cause political money in the community are the influence of the economic limitations of society, low quality of public education, and weak supervision conducted. (2) The process of political money is carried out directly by a certain political candidate or contestant and carried out indirectly through the intermediaries of others in providing and distributing thepolitics of the money. (3) The impact of the political practice of money can be detrimental to the democratic order and can cause other new problems in society to the Government, thus carrying a negative impact that is long term.

A Survey on Trajectory Data Warehouse

Advanced technologies in location acquisition allow us to track the movement of moving objects (people, planes, vehicles, animals, ships, ...) in geographical space. These technologies generate a vast amount of trajectory data (TD). Several applications in different fields can utilize such TD, for example, traffic management control, social behavior analysis, wildlife migrations and movements, ship trajectories, shoppers behavior in a mall, facial nerve trajectory, location-based services and many others. Trajectory data can be mainly handled either with Moving Object Databases (MOD) or Trajectory Data Warehouse (TDW). In this paper, we aim to review existing studies on storing, managing, and analyzing TD using data warehouse technologies. We propose a framework that aims to provide the requirements for building the TDW. Furthermore, we discuss different applications using the TDW and how these applications utilize the TDW. We address some issues with existing TDWs and discuss future work in this field.

Visual analysis of socio-cognitive crowd behaviors for surveillance: A survey and categorization of trends and methods

Monitoring and inferring socio-cognitive behaviors through crowd analysis can help us to understand many processes. Be it people in crowded environments, road traffic or even a flock of fish, situational awareness becomes critical for creating adequate disaster response, providing incident management, exercising control, etc. Recent researches have indicated that crowd modeling is conventionally based on density analysis. However, socio-cognitive behavior studies have demonstrated that crowds often display a wide variety of behaviors that arise spontaneously from the collective motions of unconnected individuals. Therefore, behavior analysis employing physics-based approaches only, thereby neglecting the socio-psychological aspects, may present diverse challenges to accurate inference. This means that by identifying and modeling some of the interacting agents that underpin the evolution of such behaviors, we can deliver contexts that can help in the autonomous analysis of social and antisocial behaviors in crowded environments. This paper discusses these issues from the machine vision perspective. In particular, socio-cognitive models of crowds are linked to low-level mechanisms of crowd modeling and feature extraction. A survey of recent works on crowd behavior analysis is conducted under a proposed behavioral categorization based on the level of the performed analysis and identified behaviors. Finally, discussions and recommendations are provided toward the advancement in the field.

Self-image and 12-month outcome in females with eating disorders: extending previous findings

BackgroundThe interpersonal Structural Analysis of Social Behavior (SASB) model of self-image has repeatedly proven valuable in relation to eating disorder (ED) symptoms and in predicting ED outcome.ObjectiveWe studied the association between initial self-image according to the SASB and 12-month outcome, in five diagnostic groups of female ED patients. Based on previous findings, we expected autonomy related variables (self-control/autonomy) would strongly predict outcome in anorexia nervosa (AN) groups, whereas variables related to affiliation (self-attack/love) would moderately predict outcome in bulimia nervosa (BN).MethodParticipants were adult female patients, of whom 457 had AN restrictive type, 228 AN binge/purge subtype, 861 BN, 505 other specified ED and 170 binge eating disorder. Data came from the Stepwise clinical database in Sweden. Outcomes were presence/absence of ED diagnosis and self-rated ED symptoms, and we controlled for baseline ED pathology, BMI, age and general psychiatric symptoms.ResultsRegression analyses showed that although the pattern differed somewhat between diagnostic groups, high initial self-love and low self-attack/self-blame predicted a more positive 12-month outcome. In some groups (AN/R in particular), these variables remained important even when baseline pathology and age were included in the analyses.DiscussionSelf-image aspects once again display substantial power in predicting outcome in EDs. In AN/R patients, self-love plays an almost as crucial a role as baseline ED pathology in relation to 12-month outcome.

The framework for creating a psychological assessment tool based on interactive storytelling

In recent years personality assessment utilizing computer science methods has received a lot of interest among researchers. Many teams are looking to use different approaches to measure personality traits, using technology as an alternative to self-report based questionnaires. Many interesting studies have been carried out using social behavior analysis, natural language analysis or player modeling in a computer game. However, despite being promising, the results also show that the effectiveness of these solutions has definitely an area for development. Additionally, it should be noted that the theoretical underpinnings in psychology regarding personality models, in particular, the Big Five model, are extensive. And hold the promise that a combination of such psychological theory and computer science has a lot more to offer. In this publication, we propose a method that allows to design and manufacture a personality assessment tool, using an interactive story in which the user makes choices and actions on the basis of which her/his trait standings are estimated.

NATURE OF INFORMATION AND COMMUNICATION MECHANISMS OF THE IMAGE’S FORMATION OF GOVERNMENT AUTHORITIES

The article explores the problems of forming the state bodies’ image in the context of the information society development. The main directions of the communicative activity development of public administration bodies in modern conditions are established. The main tasks of information and communication mechanisms to create a positive image of public authorities are identified. The main characteristics of information and communication mechanisms of forming public authorities’ image in the aspect of four media theories of mass media are determined. The fundamental element of the mechanism of forming the public administration bodieses image are the media, which have emotional and rational influences on the citizens in order to achieve the goals of public administration. In the field of image reality, there is an opportunity for subjective interaction of public authorities, including public authorities, the public and the media, which exchange information, emotional and evaluative responses. It was stated that in establishing dialogue between state bodies and the public, a conceptual approach, based on the principles of systematic, purposeful, open and constant, should prevail. The essence of this approach is that the decisions of public authorities on important problems should not be based solely on the personal opinions and personal experience of the managers. Important decisions must precede public analysis, prediction and modeling of social behavior of the population. Therefore, the participation of citizens in solving governmental issues is necessary. In this context, the necessary elements for the constructive participation of citizens in decision-making by the authorities are identified. It was stated that communication technologies can work for the benefit of both parties — authorities and communities — and influence public opinion in such a way as to create a positive image for public authorities.

Personality (at Intrapsychic and Interpersonal Level) Associated With Quality of Life in Patients With Cancer (Lung and Colon).

The objective of this study was to determine the association of quality of life (QoL) and intrapsychic and interpersonal behaviors (Structural Analysis of Social Behavior [SASB]) of patients with cancer (lung: n = 88; age 62.8 ± 10.1; colon: n = 56; age 60.1 ± 11.4). Personality described by SASB clusters (Cls): SASB-Questionnaire; QoL tests: FACT_G and QLQ-C30. Patients with lung cancer (n = 88; age 62.8 ± 10.1) and colon cancer (n = 56; age 60.1 ± 11.4; all stages of severity). Multiple regression analyses. Multiple linear regression: dependent variable: FACT_G; covariates: physical functioning, cognitive functioning, SASB-Cl3-50°, SASB-Cl6-50°. Analysis of variance and t test confirm validity of the model (P < .001). SASB-Cl3 with FACT_G (P = .034); SASB-Cl6 with FACT_G (P = .002); age with FACT_G (P = .018); physical functioning with FACT_G (P < .001); cognitive functioning with FACT_G (P < .001). Personality traits such as self-critical and oppressive behaviors, low capacity for self-esteem, physical and cognitive functioning, and age (a higher age determines a better QoL) strongly determine QoL in patients with lung and colon cancer. This may suggest areas of therapeutic intervention.

Rupture Resolution Rating System (3RS): Development and validation

Objective: Our aim was to examine the reliability and validity of the Rupture Resolution Rating System (3RS), an observer-based measure of alliance ruptures and resolution processes. Method: We used the 3RS to rate early sessions from 42 cases of cognitive behavior therapy. We compared the 3RS to a simplified version of the Structural Analysis of Social Behavior (SASB), as well as patient and therapist self-reports of ruptures and the alliance. Results: Coders achieved high rates of interrater reliability on the frequency of confrontation and withdrawal ruptures and resolution strategies (ICCs = .85 to .98), as well as ratings of the therapist’s contribution to ruptures and the extent to which ruptures were resolved (ICC = .92). Predictive validity analyses found that confrontation markers (d = .74), successful resolution (d = .67), and ratings of the therapist’s contribution to ruptures (d = .61) predicted dropout from therapy. Analyses of convergent validity with the SASB failed to meet predictions; however, we observed theoretically coherent relations between 3RS and SASB variables. Confrontation rupture markers were significantly associated with patient self-report of rupture (d = 1.54) and therapist self-reported alliance (r = −.50, p = .002). Conclusions: This study provides evidence that the 3RS is a reliable and useful tool for examining psychotherapy process and predicting dropout.Clinical or methodological significance of this article: This study provides evidence of the reliability and validity of the 3RS, an observer-based measure of alliance ruptures and resolution processes. The 3RS can be used to identify problems in the therapeutic relationship that are associated with premature dropout from therapy.

Dichlorvos alters morphology and behavior in zebrafish (Danio rerio) larvae

Dichlorvos (2,2-dichlorovinyl-dimethylphosphate), an organophosphorus pesticide used for indoor insect and livestock parasite control, is among the most common commercially available pesticides. However, there are significant concerns over its toxicity, especially due to its relative stability in water, soil, and air. Zebrafish, an important developmental model, has been used for studying the effects of toxic compounds. The aim of this study was to evaluate the exposure to dichlorvos at early life stages (1 h postfertilization - 7 days postfertilization) in the zebrafish and its toxicological effects during the development, through morphological (7 days postfertilization), locomotor and social behavior analysis (7, 14, 30, 70, and 120 days postfertilization). Dichlorvos (1, 5, and 10 mg/L) exposure reduced the body length and heartbeat rate at 7 days postfertilization (dpf), as well as the surface area of the eyes (5 and 10 mg/L). The avoidance behavior test showed a significant decrease in escape responses at 7 (1, 5, and 10 mg/L) and 14 (5 and 10 mg/L) dpf zebrafish. The evaluation of larval exploratory behavior showed a reduction in distance traveled, mean speed (1, 5, and 10 mg/L) and time mobile (10 mg/L) between control and dichlorvos groups. In addition, the analysis performed on adult animals showed that the changes in distance traveled and mean speed remained reduced in 30 (1, 5, and 10 mg/L) and 70 dpf (5 and 10 mg/L), recovering values similar to the control at 120 dpf. The social behavior of zebrafish was not altered by exposure to dichlorvos in the early stages of development. Thus, the exposure to organophosphorus compounds at early stages of development induces an increased susceptibility to behavioral and neuronal changes that could be associated with several neurodegenerative diseases.