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Decoding collective communications using information theory tools.

ABSTRACT: Organisms have evolved sensory mechanisms to extract pertinent information from their environment, enabling them to assess their situation and act accordingly. For social organisms travelling in groups, like the fish in a school or the birds in a flock, sharing information can further improve their situational awareness and reaction times. Data on the benefits and costs of social coordination, however, have largely allowed our understanding of why collective behaviours have evolved to outpace our mechanistic knowledge of how they arise. Recent studies have begun to correct this imbalance through fine-scale analyses of group movement data. One approach that has received renewed attention is the use of information theoretic (IT) tools like mutual information, transfer entropy and causation entropy, which can help identify causal interactions in the type of complex, dynamical patterns often on display when organisms act collectively. Yet, there is a communications gap between studies focused on the ecological constraints and solutions of collective action with those demonstrating the promise of IT tools in this arena. We attempt to bridge this divide through a series of ecologically motivated examples designed to illustrate the benefits and challenges of using IT tools to extract deeper insights into the interaction patterns governing group-level dynamics. We summarize some of the approaches taken thus far to circumvent existing challenges in this area and we conclude with an optimistic, yet cautionary perspective.

SUBMITTER: Pilkiewicz KR

PROVIDER: S-EPMC7115225 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Decoding collective communications using information theory tools.

Pilkiewicz K R KR Lemasson B H BH Rowland M A MA Hein A A Sun J J Berdahl A A Mayo M L ML Moehlis J J Porfiri M M Fernández-Juricic E E Garnier S S Bollt E M EM Carlson J M JM Tarampi M R MR Macuga K L KL Rossi L L Shen C-C CC

Journal of the Royal Society, Interface 20200318 164

Organisms have evolved sensory mechanisms to extract pertinent information from their environment, enabling them to assess their situation and act accordingly. For social organisms travelling in groups, like the fish in a school or the birds in a flock, sharing information can further improve their situational awareness and reaction times. Data on the benefits and costs of social coordination, however, have largely allowed our understanding of why collective behaviours have evolved to outpace ou ...[more]

PMID: 32183638

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Project description:BackgroundThe number of single-living workers separated from their spouses and families has been increasing due to the need to create a balance between life and work. Workers are assigned everywhere in globalized workplaces while also caring for their family members in the context of Japan's aging society. At the same time, the mental and health status of persons living separately from their families is a matter of concern. The development of interpersonal communication means using information and communications technology (ICT) tools and the internet is remarkable, enabling simultaneous 2-way communication across distances and national borders. The easy accessibility to simultaneous communication is expected to improve the psychosocial status of isolated family members.ObjectiveThis study aims to clarify the health benefits of ICT by using a psychosocial health assessment, the characteristics of ICT tools, and the frequency of communication among the workers and their families who live separately.MethodsThis was a cross-sectional study planned and conducted in Japan. Study participants, including adults who live separately from other family members or have separately living family members due to work, were recruited to answer a web response survey about ICT usage status, health status, and life and society evaluation. This study recruited 73 participants divided into 2 groups by their communication tools and frequencies, and their separated life, health, and psychosocial status were statistically compared.ResultsAmong the 73 study participants, 15 were categorized in the high communication-skilled (HCS) group that used both types of ICT tools to communicate frequently: "live," such as video chat and voice call, and "nonlive," such as SMS text message service and email. A simple comparison between the HCS and reference groups showed significant differences in the cohesion with the neighborhood (P=.03), perceived social position (P=.01), and happiness (P<.001); however, there were no significant differences in the health (psychological distress, P=.08; self-rated health, P=.07), lifestyle (drinking, P>.99; current smoking, P=.37), and dyadic trust in family members living separately (P=.80). Further, in a multivariate regression analysis adjusted for confounding factors, such as educational history, age, gender, and job status, poor subjective health showed a prevalence odds ratio of less than 1 (OR 0.17, 95% CI 0.03-1.02). The HCS group showed significant positive relationships in the cohesion score with the neighborhood (P=.01; β=2.40, 95% CI 0.56-4.24), perceived social position (P=.03; β=1.17, 95% CI 0.11-2.23), and happiness score (P=.002; β=1.46, 95% CI 0.58-2.34) in the same multivariate regression models.ConclusionsThis study suggested that people who frequently communicate with separated family members by taking advantage of various ICT tools can maintain a better mental state and better social relations among those who live alone and are separated from their families.

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Decoding collective communications using information theory tools.

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Decoding collective communications using information theory tools.

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