A Comparison Study between Autism Spectrum Disorder and Typically Control in Graph Frequency Bands Using Graph and Triadic Interaction Metrics

Many researchers using many different approaches have attempted to find features discriminating between autism spectrum disorder (ASD) and typically control (TC) subjects. In this study, this attempt has been continued by analyzing global metrics of functional graphs and metrics of functional triadic interactions of the brain in the low, middle, and high-frequency bands (LFB, MFB, and HFB) of the structural graph. The graph signal processing (GSP) provided the combinatorial usage of the functional graph of resting-state fMRI and structural graph of DTI. In comparison to TCs, ASDs had significantly higher clustering coefficients in the MFB, higher efficiencies and strengths in the MFB and HFB, and lower small-world propensity in the HFB. These results show over-connectivity, more global integration, and probably decreased local specialization in ASDs compared to TCs. Triadic analysis showed that the numbers of unbalanced triads were significantly lower for ASDs in the MFB. This finding may show the reason for restricted and repetitive behavior in ASDs. Also, in the MFB and HFB, the numbers of balanced triads and the energies of triadic interactions were significantly higher and lower for ASDs, respectively. These findings may reflect the disruption of the optimum balance between functional integration and specialization. All of these results demonstrated that the significant differences between ASDs and TCs existed in the MFB and HFB of the structural graph when analyzing the global metrics of the functional graph and triadic interaction metrics. In conclusion, the results demonstrate the promising perspective of GSP for attaining discriminative features and new knowledge, especially in the case of ASD.

Triadic Interaction and Collective Bargaining of Autoworkers in South China

A study of autoworkers in Guangzhou, China found that Chinese workers successfully negotiated wages through collective bargaining. The emergence of collective bargaining comes from the triadic interaction among three conflicting agents: workers, local state and employers. The intention of the local state to shift labor-intensive industries towards more value-added industries and the tendency of the local police to avoid the use of violence have contributed to a less hostile labor environment and more political opportunities for the workers. To improve their own position and control labor unrest, regional unions form a vertical coalition with workers while autoworkers invoke their workplace bargaining power by engaging in strikes. At the same time, workers develop low risk strike strategies to reduce potential state suppression and employ anti-Japanese rhetoric to reduce pressure from management. We conclude with a discussion on whether the collective bargaining practices of autoworkers in Guangzhou can be replicated in other spaces or industries.

Body synchrony in triadic interaction

Humans subtly synchronize body movement during face-to-face conversation. In this context, bodily synchrony has been linked to affiliation and social bonding, task success and comprehension, and potential conflict. Almost all studies of conversational synchrony involve dyads, and relatively less is known about the structure of synchrony in groups larger than two. We conducted an optic flow analysis of body movement in triads engaged in face-to-face conversation, and explored a common measure of synchrony: time-aligned bodily covariation. We correlated this measure of synchrony with a diverse set of covariates related to the outcome of interactions. Triads showed higher maximum cross-correlation relative to a surrogate baseline, and ‘meta-synchrony’, in that composite dyads in a triad tended to show correlated structure. A windowed analysis also revealed that synchrony varies widely across an interaction. As in prior studies, average synchrony was low but statistically reliable in just a few minutes of interaction. In an exploratory analysis, we investigated the potential function of body synchrony by predicting it from various covariates, such as linguistic style matching, liking, laughter and cooperative play in a behavioural economic game. Exploratory results do not reveal a clear function for synchrony, though colaughter within triads was associated with greater body synchrony, and is consistent with an earlier analysis showing a positive connection between colaughter and cooperation. We end by discussing the importance of expanding and codifying analyses of synchrony and assessing its function.

Cocreation of the hospitality brand experience: A triadic interaction model

Although dyadic interactions among customers have widely been acknowledged to impact customer experience, the interdependence between customers and the service provider may form a symbiotic force that attenuates how an experience is cocreated. This study focuses on triadic interactions among casino patrons by modeling employee-to-customer (E2C) interactions as a boundary condition that may moderate the effect of customer-to-customer interactions (C2C) and customer-to-companion (Cu2Co) interaction quality on brand experience. Data were collected among patrons from 30 casino establishments using a two-step sampling approach. Findings suggest that E2C interaction moderates the relationship between customer interactions and the brand experience, such that the C2C interaction quality effect is more salient under the high E2C interaction condition. Implications for both practice and theory as well as limitations and future directions are further discussed.