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      Two types of social grooming methods depending on the trade-off between the number and strength of social relationships

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          Abstract

          Humans use various social bonding methods known as social grooming, e.g. face to face communication, greetings, phone and social networking sites (SNS). SNS have drastically decreased time and distance constraints of social grooming. In this paper, I show that two types of social grooming (elaborate social grooming and lightweight social grooming) were discovered in a model constructed by 13 communication datasets including face to face, SNS and Chacma baboons. The separation of social grooming methods is caused by a difference in the trade-off between the number and strength of social relationships. The trade-off of elaborate social grooming is weaker than the trade-off of lightweight social grooming. On the other hand, the time and effort of elaborate methods are higher than those of lightweight methods. Additionally, my model connects social grooming behaviour and social relationship forms with these trade-offs. By analysing the model, I show that individuals tend to use elaborate social grooming to reinforce a few close relationships (e.g. face to face and Chacma baboons). By contrast, people tend to use lightweight social grooming to maintain many weak relationships (e.g. SNS). Humans with lightweight methods who live in significantly complex societies use various types of social grooming to effectively construct social relationships.

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          Most cited references29

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          Structure and tie strengths in mobile communication networks

          , , (2006)
          Electronic databases, from phone to emails logs, currently provide detailed records of human communication patterns, offering novel avenues to map and explore the structure of social and communication networks. Here we examine the communication patterns of millions of mobile phone users, allowing us to simultaneously study the local and the global structure of a society-wide communication network. We observe a coupling between interaction strengths and the network's local structure, with the counterintuitive consequence that social networks are robust to the removal of the strong ties, but fall apart following a phase transition if the weak ties are removed. We show that this coupling significantly slows the diffusion process, resulting in dynamic trapping of information in communities, and find that when it comes to information diffusion, weak and strong ties are both simultaneously ineffective.
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            Social network size in humans.

            This paper examines social network size in contemporary Western society based on the exchange of Christmas cards. Maximum network size averaged 153.5 individuals, with a mean network size of 124.9 for those individuals explicitly contacted; these values are remarkably close to the group size of 150 predicted for humans on the basis of the size of their neocortex. Age, household type, and the relationship to the individual influence network structure, although the proportion of kin remained relatively constant at around 21%. Frequency of contact between network members was primarily determined by two classes of variable: passive factors (distance, work colleague, overseas) and active factors (emotional closeness, genetic relatedness). Controlling for the influence of passive factors on contact rates allowed the hierarchical structure of human social groups to be delimited. These findings suggest that there may be cognitive constraints on network size.
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              Gossip in evolutionary perspective.

              R. Dunbar (2004)
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                Author and article information

                Journal
                R Soc Open Sci
                R Soc Open Sci
                RSOS
                royopensci
                Royal Society Open Science
                The Royal Society Publishing
                2054-5703
                August 2018
                1 August 2018
                1 August 2018
                : 5
                : 8
                : 180148
                Affiliations
                Akihabara Laboratory, CyberAgent, Inc., Chiyoda-ku, Tokyo, Japan
                Author notes
                Author for correspondence: Masanori Takano e-mail: takano_masanori@ 123456cyberagent.co.jp

                Electronic supplementary material is available online at https://dx.doi.org/10.6084/m9.figshare.c.4166702.

                Author information
                http://orcid.org/0000-0002-4354-0619
                Article
                rsos180148
                10.1098/rsos.180148
                6124085
                fbbcb8d9-eb78-4ac0-af38-481e261f0b00
                © 2018 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : 30 January 2018
                : 25 June 2018
                Categories
                1009
                194
                1001
                205
                Psychology and Cognitive Neuroscience
                Research Article
                Custom metadata
                August, 2018

                social networking site,primitive communications,modern communications,socialgrooming,weak ties,social relationship from

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