A Mathematical Model of Group Social Interaction

1982 ◽  
Vol 14 (8) ◽  
pp. 1031-1046 ◽  
Author(s):  
R G V Baker

The definition of place utility from potential theory shows that a preference and orthogonal indifference field can influence a decisionmaker, which suggests the operation of behavioural forces. Learning energy is defined to be a major behavioural force and a statistical model is proposed for its distribution over an assembly of decisionmakers. An attitude system is derived for a social network where the decisionmaker can be in a unitary state of utility or disutility. The resulting partition function shows that the learning energy of the assembly is derived from nearest-neighbour interactions and the operation of an external place utility preference field. A positive linear relationship is proposed between learning energy and environmental stress. The critical stress in social interaction is determined and a variety of behaviours in urban sociology are predicted. The model is then applied to a Markov learning system and the results discussed.

1970 ◽  
Vol 8 (1) ◽  
pp. 119-126
Author(s):  
Марина Орап

У  статті  висвітлено  методологічні  та  практичні  засади  вивчення  онтогенезу  соціального  інтелекту. Складність вивчення даного соціально-психологічного феномену пов’язана із дотичністю його  до багатьох явищ, які описують умови успішності соціальної взаємодії особистості. Проаналізовано наявні  теоретичні   підходи   до   визначення   змісту   та   структури  соціального  інтелекту,   до   взаємозв’язку  останнього  з  іншими  видами  інтелекту.  Визначено,  що  дослідження  соціального  інтелекту  молодших  школярів слід здійснювати на основі розуміння останнього як здатності, що виникає на базі комплексу  інтелектуальних,   особистісних,   комунікативних   і   поведінкових   рис,   що   зумовлюють   прогнозування  розвитку  міжособистісних  ситуацій,  інтерпретацію  інформації  і  поведінки,  готовність  до  соціальної  взаємодії і прийняття рішень. Здійснене пілотажне емпіричне дослідження прогностичних можливостей  дітей  молодшого  шкільного  віку  продемонструвало  наявні  позитивні  кореляційні  зв’язки  між  рівнем  розвитку здатності до передбачення найбільш адекватного сценарію розвитку подій у соціальній ситуації  та рівнем розвитку мовленнєвого досвіду. Найбільш тісний взаємозв’язок виявлено між рівнем розвитку  здатності  передбачати  адекватну  вербальну  відповідь  у  ситуації  комунікації  та  рівнем  розвитку  мовленнєвої компетентності та мовленнєвої діяльності дітей молодшого шкільного віку. Таким чином,  були зроблені попередні висновки про наявність взаємозв’язку між мовленнєвим досвідом та прогностичним  можливостями у складі соціального інтелекту дитини молодшого шкільного віку The  article  outlines  the  methodological  and  practical  principles  of  studying  the  ontogenesis  of  social  intelligence. The complexity of studying this socio-psychological phenomenon is associated with its attractiveness to  many  phenomena  that  describe  the  conditions  for  the  successful  social  interaction.  The  existing  theoretical  approaches to the definition of the content and structure of social intelligence, to the interrelationship of it with  other types of intelligence are analyzed. It is determined that research of social intelligence of junior pupils should  be carried out on the basis of the understanding of this kind of intelligencer as an ability that based on a complex of  intellectual, personal, communicative and behavioral features. This complex predetermines the forecasting of the  development  of  interpersonal  situations,  the  interpretation  of  information  and  behavior,  readiness  for  social  interaction  and  decision-making.  The  research  of  the  prognostic  possibilities  of  primary  school  children  demonstrated the positive correlation between the level of development of the ability to predict the most adequate  scenario of the development of events in the social situation and the level of development of speech experience. The  closest relationship is found between the level of development of the ability to provide an adequate verbal response  in the context of communication and the level of development of speech competence and speech activity of children  of junior school age. Thus, was done a conclusion about the existence of a relationship between speech experience  and prognostic possibilities in the social intellect of a child of junior school age.   


2014 ◽  
Vol 27 (2) ◽  
pp. 214-238
Author(s):  
Nienke van Andel ◽  
Martin J.M. Hoondert ◽  
Marcel Barnard

Even before they started the editorial board of the new Dutch hymnal was blamed for being too elitist. The fact that they had been selected on the basis of their expertise made them vulnerable for such criticism. Subsequently the position of the editors has been a point of continuous reflection. In this contribution, we will argue that this image of editors as dissociated from users of the hymn book is only one among several available identity repertoires. In order to answer the question which ‘identities-in-relation-to-users’ do the editors construct in the meetings of the board and how do they value these identities?, we will use a broad definition of identity and focus on positions performed in social interaction. The interaction in question concerns seven selected meetings of the editorial board, all of which were audio-taped and transcribed. Looking closely at the identities that were constructed during those meetings, we distinguish six positions, ranging from a great to no distance between editors and users: editors, professionals, experienced, vanguard, pleasers and equals.


2014 ◽  
Vol 23 (2) ◽  
pp. 213-229 ◽  
Author(s):  
Cangqi Zhou ◽  
Qianchuan Zhao

AbstractMining time series data is of great significance in various areas. To efficiently find representative patterns in these data, this article focuses on the definition of a valid dissimilarity measure and the acceleration of partitioning clustering, a common group of techniques used to discover typical shapes of time series. Dissimilarity measure is a crucial component in clustering. It is required, by some particular applications, to be invariant to specific transformations. The rationale for using the angle between two time series to define a dissimilarity is analyzed. Moreover, our proposed measure satisfies the triangle inequality with specific restrictions. This property can be employed to accelerate clustering. An integrated algorithm is proposed. The experiments show that angle-based dissimilarity captures the essence of time series patterns that are invariant to amplitude scaling. In addition, the accelerated algorithm outperforms the standard one as redundancies are pruned. Our approach has been applied to discover typical patterns of information diffusion in an online social network. Analyses revealed the formation mechanisms of different patterns.


2021 ◽  
pp. 073563312110273
Author(s):  
Zhi Liu ◽  
Ning Zhang ◽  
Xian Peng ◽  
Sannyuya Liu ◽  
Zongkai Yang ◽  
...  

In the field of learning analytics, mining the regularities of social interaction and cognitive processing have drawn increasing attention. Nevertheless, in MOOCs, there is a lack of investigations on the combination of social and cognitive behavioral patterns. To fill in this gap, this study aimed to uncover the relationship between social interaction, cognitive processing, and learning achievements in a MOOC discussion forum. Specifically, we collected the 3925 participants’ forum data throughout 16 weeks. Social network analysis and epistemic network analysis were jointly adopted to investigate differences in social interaction, cognitive processing between two achievement groups, and the differences in cognitive processing networks between two types of communities. Finally, moderation analysis was employed to examine the moderating effect of community types between cognitive processing and learning achievements. Results indicated that: (1) the high- and low-achieving groups presented significant differences in terms of degree, betweenness, and eigenvector centrality; (2) the stronger cognitive connections were found within the high-achieving group and the instructor-led community; (3) the cognitive processing indicators including insight, discrepancy, and tentative were significantly negative predictors of learning achievements, whereas inhibition and exclusive were significantly positive predictors; (4) the community type moderated the relationship between cognitive processing and learning achievements.


2018 ◽  
Vol 44 (2) ◽  
pp. 433-454 ◽  
Author(s):  
Corinne Amel Zayani ◽  
Leila Ghorbel ◽  
Ikram Amous ◽  
Manel Mezghanni ◽  
André Péninou ◽  
...  

Purpose Generally, the user requires customized information reflecting his/her current needs and interests that are stored in his/her profile. There are many sources which may provide beneficial information to enrich the user’s interests such as his/her social network for recommendation purposes. The proposed approach rests basically on predicting the reliability of the users’ profiles which may contain conflictual interests. The paper aims to discuss this issue. Design/methodology/approach This approach handles conflicts by detecting the reliability of neighbors’ profiles of a user. The authors consider that these profiles are dependent on one another as they may contain interests that are enriched from non-reliable profiles. The dependency relationship is determined between profiles, each of which contains interests that are structured based on k-means algorithm. This structure takes into consideration not only the evolutionary aspect of interests but also their semantic relationships. Findings The proposed approach was validated in a social-learning context as evaluations were conducted on learners who are members of Moodle e-learning system and Delicious social network. The quality of the created interest structure is assessed. Then, the result of the profile reliability is evaluated. The obtained results are satisfactory. These results could promote recommendation systems as the selection of interests that are considered of enrichment depends on the reliability of the profiles where they are stored. Research limitations/implications Some specific limitations are recorded. As the quality of the created interest structure would evolve in order to improve the profile reliability result. In addition, as Delicious is used as a main data source for the learner’s interest enrichment, it was necessary to obtain interests from other sources, such as e-recruitement systems. Originality/value This research is among the pioneer papers to combine the semantic as well as the hierarchical structure of interests and conflict resolution based on a profile reliability approach.


Author(s):  
Volodymyr Kotsyuruba ◽  
Ruslan Cherevko

At the current stage of the reformation of the Armed Forces of Ukraine in the context of the operation of the United Nations (Anti-Terrorist Operation (ATO)), there was a need to increase the effectiveness of the use of troops without increasing the cost of the resource. In the context of increasing capabilities of the armies of the leading countries in the world to investigate and defeat the forces of the opposite side, the problem of maintaining and restoring combat capability in the course of hostilities is very acute. One of the important components that determines combat capability is the maneuverability of the control points (PU). In the course of the defense, the problem of increasing the survivability of the PU system is important because the forces of the opposite side, with the onset of aggression, will try, first of all, to dismantle the PU using modern means of defeat and the massive use of high-precision weapons (WTZ), as well as aircraft and artillery strikes, electronic information and information fight, the use of sabotage and reconnaissance groups and tactical airborne troops to disrupt the control of defending troops. Important importance of the ability to timely carry out maneuver (organized movement) of PU and its elements into a new area in the preparation and in the course of military operations. The traditional approach to ensuring the survivability of PU does not allow to ensure the proper stability of their functioning. There is an objective necessity in the development of such a mathematical model of maneuverability, which in its characteristics would meet the dynamically increasing requirements of the control system of troops in the difficult conditions of projected operations. To ensure the quality management of military units, various measures to ensure the survivability of PU are considered. The article outlines approaches to the definition of indicators of estimation of maneuverability of PU and methods of their calculation. The research is carried out in modern conditions of combat operations, taking into account the movement of the line of the combat collision of the parties and the disclosure of the PU to the enemy's intelligence.


2020 ◽  
Vol 5 ◽  
pp. 30-32
Author(s):  
Norov Yunus Dzhumaevich ◽  
Mehmonov Maksud Rabbonokul ugli

The article presents a developed mathematical model for calculating the granulometric composition of the blasted rock mass based on the mechanism of action of an explosion in rocks, a mathematical description of the determination of natural units (blocks) in the rock mass, the relationship between the degree of rock fragmentation and the size of the units and the definition of sections of the controlled pressure zone.


Author(s):  
Indira Lanza-Cruz ◽  
Rafael Berlanga ◽  
María José Aramburu

Social Business Intelligence (SBI) enables companies to capture strategic information from public social networks. Contrary to traditional Business Intelligence (BI), SBI has to face the high dynamicity of both the social network contents and the company analytical requests, as well as the enormous amount of noisy data. Effective exploitation of these continuous sources of data requires efficient processing of the streamed data to be semantically shaped into insightful facts. In this paper, we propose a multidimensional formalism to represent and evaluate social indicators directly from fact streams derived in turn from social network data. This formalism relies on two main aspects: the semantic representation of facts via Linked Open Data and the support of OLAP-like multidimensional analysis models. Contrary to traditional BI formalisms, we start the process by modeling the required social indicators according to the strategic goals of the company. From these specifications, all the required fact streams are modeled and deployed to trace the indicators. The main advantages of this approach are the easy definition of on-demand social indicators, and the treatment of changing dimensions and metrics through streamed facts. We demonstrate its usefulness by introducing a real scenario user case in the automotive sector.


Author(s):  
A S Mukhin ◽  
I A Rytsarev ◽  
R A Paringer ◽  
A V Kupriyanov ◽  
D V Kirsh

The article is devoted to the definition of such groups in social networks. The object of the study was selected data social network Vk. Text data was collected, processed and analyzed. To solve the problem of obtaining the necessary information, research was conducted in the field of optimization of data collection of the social network Vk. A software tool that provides the collection and subsequent processing of the necessary data from the specified resources has been developed. The existing algorithms of text analysis, mainly of large volume, were investigated and applied.


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