Management tools in modern distributed social communities

2021 ◽  
Vol 7 (Extra-C) ◽  
pp. 48-56
Author(s):  
Elena Eduardovna Alenina ◽  
Sergey Vladimirovich Bolotnikov ◽  
Lyubov Viktorovna Borodacheva ◽  
Viktoriya Leonidovna Grankina ◽  
Dmitri Vladimirovich Redin ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Groups ◽  
Online Resources ◽  
Problem Analysis ◽  
Economic Management ◽  
Management Tools ◽  
Social Communities ◽  
Network Media ◽  
Thematic Information ◽  
Management Capabilities

The article is devoted to the consideration and generalization of modern management capabilities and tools of distributed social communities formed based on online resources (social networks) to achieve the set socio-economic management goals. The authors conducted a problem analysis of the identified opportunities for managing specialized social thematic resources in the implementation of joint projects, the formation of social groups based on interests and hobbies, and the promotion of brands and products. The authors identify software tools for managing social network media resources. These tools allow collecting data on consumer interaction (b2c), monitoring thematic information, and attracting a new target audience.

scholarly journals Training of a future social professional for the formation of safe adolescent behavior in social networks

2021 ◽  
Keyword(s):  
Social Networks ◽  
Information Exchange ◽  
Professional Training ◽  
Social Groups ◽  
Real Life ◽  
Well Being ◽  
The Internet ◽  
Stage Of Development ◽  
Safe Behavior ◽  
Definition Of

The article analyzes different approaches to the definition of «social networks» as technological complexes of organization and management of electronic information exchange among the subjects of social relations, united by common interests, information needs and skills. Based on the analysis of the scientific literature the essential characteristics of social networks that affect the formation and development of the adolescent's personality are revealed. Role of social networks at the present stage of development of society, which is manifested in the representation of interests not only of social groups but also of entire social groups, is defined in the article. The negative impact of social networks on the personality of the adolescent, which is manifested in the expansion of adolescents in cyberspace, the desire for independence and adulthood, selfexperimentation, which leads to risky activities both on the Internet and in real life are revealed. Concept of safe behavior in social networks as a set of actions of the individual when using the Internet, helping to meet the needs and at the same time prevent the possibility of causing damage to physical, mental, social well-being and property of man and others is analyzed. The basic rules of safe behavior in social Internet communities are highlighted. The structural components of safe behavior of adolescents in social networks are singled out: cognitive, motivational and actionreflexive; the concept of «professional training of future social professionals for the formation of safe behavior of adolescents in social networks» is revealed. Readiness is revealed as a result of the process of training future social specialists for professional activity on the formation of safe behavior of adolescents in social networks; the author's definition of the concept «readiness of future social professionals to form safe behavior of adolescents in social networks» is given. Components of readiness of future social workers to form safe behavior of teenagers in social networks, such as cognitive, motivational-personal and activity, are described.

scholarly journals An Explorative Study on Access to Print and Electronic Information Resources among Journalists in Mysore and Mandya District of Karnataka

2020 ◽  
pp. 58-66
Author(s):  
G. Kiran Kumar ◽  
Chikkamanju .
Keyword(s):  
Social Networks ◽  
Information Resources ◽  
Online Resources ◽  
Electronic Format ◽  
Electronic Information ◽  
Explorative Study ◽  
Factors Influencing ◽  
Electronic Information Resources ◽  
Criteria For Evaluation ◽  
Structured Questionnaire

This explorative study focuses on access to print and electronic information resources among journalists in Mysore and Mandya district of Karnataka, India. The researchers tried to analyze frequency of library visits, average time spent, use of print and electronic information resources, criteria for evaluation of information resources, usage of social networks for accessing and sharing information, rating of online resources based on its features, preferred format of information resources, factors influencing for use of e-resources and to know the importance of e-resources for journalistic tasks. For this purpose the researchers prepared a well structured questionnaire as a tool for data collection and the collected questionnaire has been analyzed and presented with useful percentage analysis, Anova, Mean, Standard Deviation and suitable tables for presentation of data. It has been found form the study that the journalists prefer both print and electronic format of information resources. Hence, the libraries should maintain both formats of information resources till the users inculcate the habit of using information resources available in electronic format. 

scholarly journals Who comes to mind? Dynamic construction of social networks

2020 ◽  
Author(s):  
Joseph Bayer ◽  
Neil Anthony Lewis ◽  
Jonathan Stahl
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Real World ◽  
Dynamic Process ◽  
Social Groups ◽  
Social Resources ◽  
Personal Relationships ◽  
Cognitive Mechanisms ◽  
Relational Structures ◽  
Network Technologies

Much remains unknown about moment-to-moment social-network cognition — that is, who comes to mind as we go about our day-to-day lives. Responding to this void, we describe the real-time construction of cognitive social networks. First, we outline the types of relational structures that comprise momentary networks, distinguishing the roles of personal relationships, social groups, and mental sets. Second, we discuss the cognitive mechanisms that determine which individuals are activated — and which are neglected — through a dynamic process. Looking forward, we contend that these overlooked mechanisms need to be considered in light of emerging network technologies. Finally, we chart the next steps for understanding social-network cognition across real-world contexts, along with the built-in implications for social resources and intergroup disparities.

scholarly journals Lexical abbreviation in English texts of the Internet

2021 ◽  
pp. 116-132
Author(s):  
Nataliya V. Matveeva ◽  
Keyword(s):  
Social Networks ◽  
English Language ◽  
Sampling Method ◽  
The Internet ◽  
Web Page ◽  
Continuous Sampling ◽  
Network Media ◽  
Vowel Deletion ◽  
Political Blog ◽  
Very High

This article investigates abbreviations in different Internet discourse types and genres. For the study, continuous sampling method was used to select 76 abbreviations in hypertexts from 7 Internet English-language sites. The selected units were classified into 3 basic types with further subdivisions: letter-number (figure-for-word, figure-for-word-part, contractions as a result of vowel deletion), graphical (both Latin and English) and lexical (acronyms, initialisms, shortening and partial shortening) abbreviations based on the classification adopted in this research. Among the subdivisions, abbreviations involving figures, initialisms and contractions turned out the most frequent. Most of them were found in social networks, blogs, chats and forums. Further, abbreviations were analyzed in 6 types of Internet discourse: legal, political, personal, mass media, advertising and pedagogical. Particular genres representing the types were studied: a business email, a law firm’s website, a political blog, an Instagram personal page, a network media web page, and an academic institution’s page. It was discovered that on the whole (among 57 examples), lexical abbreviations prevail over graphical ones (56% vs 44%). On the whole, 44% were graphical abbreviations, 28% – initialisms, 23% – acronyms and 5% – shortenings. However, in each discourse, the distribution demonstrated considerable variation. This means that the magnitude of the Internet discourse type effect is very high. Further studies are needed to enlarge the number of examples with the increase in the amount of genres and their samples to achieve better balance.

Bridging Diversity across Time and Space

2011 ◽  
pp. 136-158
Author(s):  
Violina Ratcheva
Keyword(s):  
Social Networks ◽  
Social Context ◽  
Empirical Studies ◽  
Background Knowledge ◽  
Multidisciplinary Teams ◽  
Team Members ◽  
Social Communities ◽  
Knowledge Diversity ◽  
Geographic Separation ◽  
Multidisciplinary Teamwork

The uniqueness of multidisciplinary teamwork is in its potential to integrate different bodies of knowledge into a new synergy. However, previous empirical studies have shown that member heterogeneity and geographic separation hinder effective sharing and use of team knowledge. The chapter explores how such teams interact to overcome the barriers and take advantage of their “built in” knowledge diversity. The findings indicate that often teams lack common background knowledge at the beginning of the projects, and in order to resolve differences members rely on their external intellectual and social communities. The reported research establishes a positive correlation between team members’ participation in multiple professional and social networks and teams’ abilities to successfully build on their knowledge diversity. The findings also suggest a need to reconceptualize the boundaries of multidisciplinary teams and to consider the processes of sharing diverse knowledge in a wider social context.

Statistical Properties of Social Group Evolution

2011 ◽  
pp. 38-56
Author(s):  
Gergely Palla ◽  
Tamás Vicsek
Keyword(s):  
Social Networks ◽  
Time Evolution ◽  
Social Group ◽  
Social Groups ◽  
Statistical Properties ◽  
Statistical Features ◽  
New Members ◽  
Constant Change ◽  
Group Evolution ◽  
General Statistical

The authors’ focus is on the general statistical features of the time evolution of communities (also called as modules, clusters or cohesive groups) in large social networks. These structural sub-units can correspond to highly connected circles of friends, families, or professional cliques, which are subject to constant change due to the intense fluctuations in the activity and communication patterns of people. The communities can grow by recruiting new members, or contract by loosing members; two (or more) groups may merge into a single community, while a large enough social group can split into several smaller ones; new communities are born and old ones may disappear. According to our results, the time evolution of social groups containing only a few members and larger communities, e.g., institutions show significant differences.

On the Privacy and Utility of Anonymized Social Networks

2013 ◽  
Vol 4 (2) ◽  
pp. 1-34 ◽  
Author(s):  
Yi Song ◽  
Xuesong Lu ◽  
Sadegh Nobari ◽  
Stéphane Bressan ◽  
Panagiotis Karras
Keyword(s):  
Social Networks ◽  
Social Media ◽  
State Of The Art ◽  
Social Groups ◽  
Trade Off ◽  
Private Lives ◽  
The Social ◽  
Before And After ◽  
Do So

One is either on Facebook or not. Of course, this assessment is controversial and its rationale arguable. It is nevertheless not far, for many, from the reason behind joining social media and publishing and sharing details of their professional and private lives. Not only the personal details that may be revealed, but also the structure of the networks are sources of invaluable information for any organization wanting to understand and learn about social groups, their dynamics and members. These organizations may or may not be benevolent. It is important to devise, design and evaluate solutions that guarantee some privacy. One approach that reconciles the different stakeholders’ requirement is the publication of a modified graph. The perturbation is hoped to be sufficient to protect members’ privacy while it maintains sufficient utility for analysts wanting to study the social media as a whole. In this paper, the authors try to empirically quantify the inevitable trade-off between utility and privacy. They do so for two state-of-the-art graph anonymization algorithms that protect against most structural attacks, the k-automorphism algorithm and the k-degree anonymity algorithm. The authors measure several metrics for a series of real graphs from various social media before and after their anonymization under various settings.

scholarly journals Activeness and Loyalty Analysis in Event-Based Social Networks

Entropy ◽  
2020 ◽  
Vol 22 (1) ◽  
pp. 119
Author(s):  
Thanh Trinh ◽  
Dingming Wu ◽  
Joshua Zhexue Huang ◽  
Muhammad Azhar
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Time Windows ◽  
Social Groups ◽  
Time Frame ◽  
Machine Learning Techniques ◽  
Consecutive Time ◽  
Highly Correlated ◽  
Event Based ◽  
Association Matrix

Event-based social networks (EBSNs) are widely used to create online social groups and organize offline events for users. Activeness and loyalty are crucial characteristics of these online social groups in terms of determining the growth or inactiveness of the social groups in a specific time frame. However, there is less research on these concepts to clarify the existence of groups in event-based social networks. In this paper, we study the problem of group activeness and user loyalty to provide a novel insight into online social networks. First, we analyze the structure of EBSNs and generate features from the crawled datasets. Second, we define the concepts of group activeness and user loyalty based on a series of time windows, and propose a method to measure the group activeness. In this proposed method, we first compute a ratio of a number of events between two consecutive time windows. We then develop an association matrix to assign the activeness label for each group after several consecutive time windows. Similarly, we measure the user loyalty in terms of attended events gathered in time windows and treat loyalty as a contributive feature of the group activeness. Finally, three well-known machine learning techniques are used to verify the activeness label and to generate features for each group. As a consequence, we also find a small group of features that are highly correlated and result in higher accuracy as compared to the whole features.

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