scholarly journals Multimodel clustering of social networks in social dampening applying BIG DATA (acquiring knowledge from data)

2019 ◽  
pp. 376-386
Author(s):  
I N Khaimovich ◽  
V M Ramzaev ◽  
V G Chumak
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Information Society ◽  
Growth Dynamics ◽  
Successful Implementation ◽  
Management Options ◽  
The Social ◽  
Time Basis ◽  
Data Acquiring ◽  
Big Data Technology

The developed methodology provides a solution to two essential tasks, thereby revealing the gnoseological potential of Big Data technology: social forecasting in the three most significant areas of the information society based on a model which identifies conditions for social resonance; successful implementation of the social dampening procedure based on the use of appropriate management options using multimodal clusterization of social networks based on Big Data technology. The article suggests the tool that helps to increase work efficiency in the sphere of social dampening in the region. The proposed method of regulation may be efficient when it comes to the control of the regional social dampening processes which have variety of forms and broad range of elements and factors, as well as growth dynamics and active transformation of life activities. At the same time using modern products make it possible to evaluate and show changes on a real-time basis which can be useful for local government authorities.

scholarly journals Determining the proximity of groups in social networks based on text analysis using big data

2019 ◽  
pp. 521-526
Author(s):  
A S Mukhin ◽  
I A Rytsarev ◽  
R A Paringer ◽  
A V Kupriyanov ◽  
D V Kirsh
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Social Network ◽  
Data Collection ◽  
Text Analysis ◽  
Software Tool ◽  
Text Data ◽  
The Social ◽  
Information Research ◽  
Definition Of

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.

scholarly journals European Communication Monitor 2016 : 10 ans de recherche pan-européenne sur la communication stratégique

2017 ◽  
pp. 181-205 ◽  
Author(s):  
Anne-Marie Cotton
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Data Communication ◽  
Strategic Communication ◽  
Know How ◽  
Réseaux Sociaux ◽  
Communication Algorithms ◽  
The Social ◽  
Communication Practices ◽  
Reseaux Sociaux

L’équipe de recherche du European Communication Monitor (ECM) publie les résultats de la dixième édition de leurs questionnements sur les développements et les dynamiques de la communication stratégique dans 43 pays d’Europe. Dans l’étude 2016 l’analyse des « big data », des algorithmes en communication, des pratiques en communication propres au coaching et au conseil, de l’engagement des parties prenantes, des influenceurs actifs sur les réseaux sociaux, et des savoir, savoir-faire et savoir-être des professionnels de la communication. 2710 professionnels de la communication ont participé à l’étude. Les nombreuses comparaisons avec les résultats de l’ECM 2013 dénoncent la faible évolution du niveau de compétences moyen des professionnels de la communication à l’exception de la prévention et la gestion des crises sur les réseaux sociaux. Dans une optique de standards de la professionnalisation, les chercheurs ont créé le « comparative excellence framework » (CEF) qui vise à identifier les caractéristiques distinguant les professionnels et identifiant les pratiques d’excellence. The research team of the European Communication Monitor (ECM) publishes the results of the tenth edition of their pan-European study on the developments and dynamics of strategic communication in 43 European countries. In the 2016 edition, they focused on the analysis of « big data », communication algorithms, communication practices specifically dealing with coaching and consulting, stakeholders engagement, active influencers on social networks, and the knowledge, skills and know-how of communication professionals. 2710 communication professionals participated in the study. The comparisons with the results of the ECM 2013 reveal a weak evolution of the average level of competences of the communication professionals with the exception of the prevention and the management of crises on the social networks. Willing to support professionalisation standards, the researchers have created the comparative excellence framework (CEF), which aims to identify the characteristics distinguishing professionals and identifying best practices.

scholarly journals THE CONCEPT REFUGEE IN THE DISCOURSE OF NEW MEDIA (Case Study of Government Media and Social Networks of Germany)

2020 ◽  
pp. 85-99
Author(s):  
Andrianna Milo
Keyword(s):  
Social Networks ◽  
New Media ◽  
Asylum Seekers ◽  
Communication Strategy ◽  
Government Communication ◽  
Official Position ◽  
The Social ◽  
Media Communications ◽  
Big Data Technology

The article deals with the study of the concept REFUGEE/FLÜCHTLING in the discourse of the new media of Germany in 2015 – the year which was characterized by the highest level of asylum seekers in the country. Based on the results of the content analysis, the positional narratives and thematic groups of lexical markers representing the official position and the position of the civil society (in the social media content) have been defined. The discourse-analysis proved that in the German infosphere there is a “battle of narratives” between the official media which put into action a systemic government policy of friendly treatment of refugees – «Willkommenskultur», and social networks which also manifest an unfavourable attitude towards asylum seekers – from critical to totally negative. It has been established that the concept REFUGEE/FLÜCHTLING has a discourse-forming function in both official and unofficial media in Germany where it has negative connotations, thereby revealing the «battle of narratives» and the «battle of discourses». It has been concluded that there is a single government communication strategy in the issue of refugees and a corresponding system of organization of official new media communications which broadcast the government’s position with a focus on conceptual worldviews of different target audiences of the country. The study was carried out using the Big Data technology, which contributed to obtaining of valid results.

scholarly journals In this Issue

2019 ◽  
Vol 14 (3) ◽  
pp. 1
Author(s):  
David Briggs
Keyword(s):  
Social Capital ◽  
Big Data ◽  
Rural Communities ◽  
Rural Health ◽  
Health Professionals ◽  
Health Reform ◽  
Community Building ◽  
The Social ◽  
Sustainable Health ◽  
Big Data Technology

In this issue continues to explore the theme of health reform by traversing some recent experiences of the Editor in rural health contexts that traverse big data, technology, the social capital of health professionals all currently operating in drought and fire ravaged circumstances. After we pass the current circumstances there will be a need to rebuild rural communities and sustainable health services and workforce should be part of the community building......

Mapping the Dissemination of the Theory of Social Representations via Academic Social Networks

2019 ◽  
pp. 426-440
Author(s):  
Annamaria Silvana de Rosa ◽  
Laura Dryjanska ◽  
Elena Bocci
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Social Representations ◽  
Scientific Production ◽  
Comparative Analyses ◽  
The Social ◽  
Different Types ◽  
Academic Social Networks ◽  
Comparative Results

This chapter examines the role of academic social networks in the dissemination of the social representations literature. In particular, it takes into account 9414 entries filed in the specialized SoReCom “A.S. de Rosa” @-library. Each entry was assessed concerning the presence of the publication in the three academic social networks (Academia.edu, ResearchGate, and Mendeley), which amounted to 2956 total entries. The publications on social representations found in academic social networks have undergone some of the comparative analyses based on “big data” and “meta-data” filed in the SoReCom “A.S. de Rosa” @-library repositories, concerning authors' countries and institutional affiliations, years of publication by year, type of publication, etc. This allowed presenting the geo-mapping of the wider scientific production in social representations and comparative results with different types of publications. Overall, the academic social networks constitute excellent allies in spreading knowledge in spite of their still relatively modest use.

Mining of Leaders in Mobile Telecom Social Networks

2016 ◽  
pp. 68-77
Author(s):  
Mantian (Mandy) Hu
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Social Network ◽  
Information Diffusion ◽  
Network Data ◽  
Massive Datasets ◽  
Social Network Data ◽  
The Social ◽  
Marketing Efficiency ◽  
Mobile Telecom

In the age of Big Data, the social network data collected by telecom operators are growing exponentially. How to exploit these data and mine value from them is an important issue. In this article, an accurate marketing strategy based on social network is proposed. The strategy intends to help telecom operators to improve their marketing efficiency. This method is based on mutual peers' influence in social network, by identifying the influential users (leaders). These users can promote the information diffusion prominently. A precise marketing is realized by taking advantage of the user's influence. Data were collected from China Mobile and analyzed. For the massive datasets, the Apache Spark was chosen for its good scalability, effectiveness and efficiency. The result shows a great increase of the telecom traffic, compared with the result without leader identification.

Pros and Cons of Applying Opinion Mining on Operation Management

2016 ◽  
pp. 93-106
Author(s):  
Mahima Goyal ◽  
Vishal Bhatnagar
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Opinion Mining ◽  
Literature Survey ◽  
Operation Management ◽  
Web Data ◽  
The Social ◽  
Pros And Cons ◽  
The Web

The web data is growing at an immense pace. This is true for the social networks also. The data in the form of opinion of an individual is gathered to find the nuggets out of the same. The development in the application of opinion mining is rapidly growing due to various social sites which prompted us to pursue exhaustive literature survey in the field of opinion mining application in operation management and to classify the existing literature in this field. In this context the authors had identified the pros and cons of applying the opinion mining on operation management from the perspective of big data. The authors had considered the amount of data involved to be too big and for the same the big data concept is of primarily utmost significance. The authors also proposed a framework which clearly depicts the usage of the opinion mining on operation management of various domains.

The Effectiveness of Big Data in Social Networks

2015 ◽  
pp. 362-381
Author(s):  
Khine Khine Nyunt ◽  
Noor Zaman
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Big Data ◽  
Social Networking ◽  
User Generated Content ◽  
Web Based ◽  
The Social ◽  
Internet Application ◽  
Media Data ◽  
Media Mining

In this chapter, we will discuss how “big data” is effective in “Social Networks” which will bring huge opportunities but difficulties though challenges yet ahead to the communities. Firstly, Social Media is a strategy for broadcasting, while Social Networking is a tool and a utility for connecting with others. For this perspective, we will introduce the characteristic and fundamental models of social networks and discuss the existing security & privacy for the user awareness of social networks in part I. Secondly, the technological built web based internet application of social media with Web2.0 application have transformed users to allow creation and exchange of user-generated content which play a role in big data of unstructured contents as well as structured contents. Subsequently, we will introduce the characteristic and landscaping of the big data in part II. Finally, we will discuss the algorithms for marketing and social media mining which play a role how big data fit into the social media data.

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