The influence of self-organizing teams on the structure of the social graph

I. Samonenko; T. Voznesenskaya

doi:10.1007/978-3-030-71472-7_11

Publications

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The influence of self-organizing teams on the structure of the social graph

P. 130–141.

Samonenko I., Voznesenskaya T.

In this paper, we study evolution of a social graph structure under the leverage of various projects performed by self-organizing teams.
Suppose we have a group of specialists with different skills. Some of the team members are acquainted with each other, which is expressed by a social graph. We assume that each project requires a variety of skills, therefore the group members form teams in order to have at least one specialist with each skill required for the project. As a result of work on the project, all team members get acquainted with each other, which changes the social graph. In this paper a model is proposed for this process. Properties and characteristics of the model are studied analytically and via computer simulation.

Language: English

DOI

Keywords: social graph Evolving graphs Self-organizing teams Saturated graphs

In book

Tools and Methods of Program Analysis: 5th International Conference, TMPA 2019, Tbilisi, Georgia, November 7–9, 2019, Revised Selected Papers

Springer, 2021.

How the Minimal Degree of a Social Graph Affects the Efficiency of an Organization

Samonenko I., Voznesenskaya T., Yavorskiy R., , in: Recent Trends in Analysis of Images, Social Networks and Texts. 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020 Revised Supplementary ProceedingsVol. 12602.: Springer, 2021. P. 173–181.

Added: November 29, 2021

Effect of Social Graph Structure on the Utilization Rate in a Flat Organization

Samonenko I., Voznesenskaya T., Yavorskiy R., , in: Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers. Communications in Computer and Information ScienceVol. 1086.: Springer, 2020. P. 214–224.

The goal of our research is to investigate how the communication structure of an organization aﬀects its performance. In the paper, we study a simulation model of a self-organizing team conducting scientiﬁc research. The key parameter of the model is the social graph of the organization, which deﬁnes the team creation process. For this model, ...

Added: October 4, 2019

Проблема восстановления профилей пользователей социальных сетей

Соколова Т. В., Chepovskiy A., Вопросы кибербезопасности 2019 № 4(32) С. 88–93

Цель исследования: классификация методов, используемых для решения проблемы восстановления профилей пользователей социальных сетей Метод: систематизация и классификация методов, применяемых для предсказания недостающих характеристик в профиле пользователя. Полученные результаты: выделены три группы методов восстановления профилей пользователей социальных сетей, для каждой из групп представлены примеры используемых подходов. ...

Added: August 10, 2019

Метод автоматического определения возраста пользователей с помощью социальных связей

Гомзин А. Г., С.Д. Кузнецов, Труды Института системного программирования РАН 2016 Т. 6 С. 171–184

The work is devoted to methods of social network users’ age detection. Social networks allow users to fill their profiles that may contain an age. Profiles are not fully filled, so the task of unknown attributes detection arises. Explicit and predicted values are used in recommender and marketing systems. Moreover, the predicted values can be ...

Added: January 25, 2018