scholarly journals Herramientas para el análisis y monitoreo en Redes Sociales

2011 ◽  
Vol 16 ◽  
pp. 33-40
Author(s):  
Juan José Prieto Gutiérrez
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Redes Sociales ◽  
The Social ◽  
Decision Making Processes ◽  
Internet Networks ◽  
The Relationship ◽  
Network Of Networks

Networks or partnerships are used by humans since the beginning of humanity and its analysis raises concerns from many different sectors of society. In the era of the network of networks, Internet, networks are generated by virtual connections of the agents. Social Network Analysis (SNA) studies the relationship relation to each other, the social structure. It is an area that is emerging as essential in decision-making processes for its ability to analyze and intervene in the behaviour of structures. We analyze three NSA tools that monitor conversations on the Organization "IFLA" keyword in order to measure the feeling of them, managing social efforts to relate the flows between the entities, groups, etc.

Social Network Analysis

2021 ◽  
pp. 155-184
Author(s):  
Yuh-Wen Chen
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Multiple Criteria Decision Making ◽  
Multiple Objective ◽  
Self Organizing Map ◽  
Social Communities ◽  
The Social ◽  
Long Time

Social network analysis (SNA) is an attractive problem for a long time when social communities were popular since 2010. Scholars like to explore the meaning behind the numerous interactions generated at these social media sites. The primary and essential issue of SNA is to monitor, estimate, and engage the potential influencers who are most relevant and active to network. If we can analyze the social network this way, business enterprises could use minimal efforts to sustain the activity of influential users, improve sales, and enhance their reputations. In this chapter, a research framework based on multiple-criteria decision making (MCDM) is proposed. The authors will show how scholars could use dynamic self-organizing map (SOM) based on multiple-objective evolving algorithm (MOEA) and static weighted influence non-linear gauge system (WINGS) to analyze a social network. Finally, comparisons are made between the innovative approaches and the methods in tradition.

Application of Computer System in the Study of Sociology

2014 ◽  
Vol 926-930 ◽  
pp. 1680-1683
Author(s):  
Ying Ming Xu ◽  
Shu Juan Jin
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Computer Algorithms ◽  
Useful Knowledge ◽  
Social Network Data ◽  
Analysis Task ◽  
Original Analysis ◽  
The Social ◽  
The Relationship

With the development of information technology, more and more data about social to be collected. If we can analyze them effectively, it will help people to understand sociological understanding, promoting the development of social science. But the increasing amount of data and analysis to put forward a huge challenge. Now the social networks have already surpassed the processing ability of the original analysis means, must use a more effective tool to complete the analysis task. The computer as a way of helping people from massive data to find the potential useful knowledge tools, play an important role in many fields. Social network analysis, also known as link mining, refers to the handling of the relationship between social network data in the computer method. In this paper, the methods of computer and the social network analysis was introduced in this paper and the computer algorithms are summarized in the application of social network analysis.

The Relationship between Governance Networks and Social Networks: Progress, Problems and Prospects

2017 ◽  
Vol 16 (4) ◽  
pp. 331-341 ◽  
Author(s):  
Gaby Ramia ◽  
Roger Patulny ◽  
Greg Marston ◽  
Kyla Cassells
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Dark Side ◽  
The Social ◽  
Power Differentials ◽  
Governance Networks ◽  
The Difference ◽  
The Relationship

A governance networks literature that uses social network analysis has emerged, but research tends to be more technical than conceptual. This restricts its accessibility and usefulness for non-quantitative scholars and practitioners alike. Furthermore, the literature has not adequately appreciated the importance of informal networking for the effective operation of governance networks. This can hinder inter-disciplinary analysis. Through a critical review, this article identifies four areas of challenge for the governance networks literature and offers four corresponding, complementary sets of concepts from the social network analysis field: (a) the difference between policy networks and governance networks, (b) the role and status of people in governance networks, (c) the ‘dark side’ of networks and the role of power differentials within them and (d) network evaluation and the question of ‘what works’ in network management. The article argues that a less technical, more accessible account of social network analysis offers an additional lens through which to view governance networks.

scholarly journals Homelessness Trends in Ageing Literature in the Context of Domains of Social Exclusion

2021 ◽  
pp. 339-350
Author(s):  
Nilufer Korkmaz-Yaylagul ◽  
Ahmet Melik Bas
Keyword(s):  
Content Analysis ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Exclusion ◽  
Older Adult ◽  
Later Life ◽  
Cultural Aspects ◽  
The Social ◽  
The Relationship

AbstractHomelessness in later life is closely related to social exclusion and can cause further disadvantages in later life. This chapter explores the relationship between studies on older adult homelessness and the domains of social exclusion. A structure review process, in the form of a summative content analysis and a social network analysis, of all geriatrics and gerontology journals published in English was conducted. This review led to the identification of 59 articles on homelessness in older age as the research sample for this chapter. The patterns that emerged from summative content analysis and the social network analysis are visualised using GEPHI software. Our findings reveal the multidimensional aspects of old-age exclusion in the homelessness literature, and how homelessness can be a significant determinant of interrelated sets of disadvantages. Exclusion from services, amenities, and mobility and community and neighbourhood, and material and financial resources are the domains represented most in homelessness studies in the ageing literature. However, civic participation and socio-cultural aspects of social exclusion were partly ignored within this body of work.

scholarly journals Actors Determination Strategy in Registered Social Network Patents in the Framework of Rewards towards Inventors A Case Study: LIPI Registered Patents 2016

2017 ◽  
Vol 20 (2) ◽  
pp. 64
Author(s):  
Aris Yaman
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
The Social ◽  
Central Actor ◽  
Relationship Of ◽  
The Relationship

Patent is one of the lever factors in improving the nation's competitiveness. A reward to an inventor is one way that can be taken to increase the productivity and patent development in Indonesia. The social network analysis on the relationship of co-invention and registered patents can identify inventing actors who deserves the award. Joko Waluyo obtained an actor who is considered central to the co-invention social network relationships of registered patents in LIPI. It is based on the high value of betweeness and closeness to the node Joko Waluyo. In addition, it was found that the prolific inventor does not always mean a central actor in the social network.

scholarly journals El análisis de redes sociales como instrumento del Trabajo Social frente a la COVID 19

2021 ◽  
pp. 35
Author(s):  
Joaquín Castillo de Mesa
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Interactions ◽  
Redes Sociales ◽  
Infected People ◽  
Social Nature ◽  
The Social ◽  
Community Transmission ◽  
Trabajo Social

El consenso científico señala que la mejor manera de frenar la propagación de la COVID-19 es mediante el rastreo de los contactos de las personas infectadas. Esta medida tiene carácter social, ya que busca analizar las redes de las personas para detectar de forma temprana quiénes están en riesgo de haber sido infectados, alertarles e imponerles la cuarentena, una medida de aislamiento social que impida la potencial propagación.  Hasta el momento mucho se ha hablado sobre qué profesionales deben realizar este rastreo pero poco acerca de cómo se debe realizar este rastreo. En este artículo, en primer lugar, se define qué es el rastreo, qué profesionales están más preparados para estas tareas y cómo se está llevando a cabo en España, encontrando ciertas carencias en cuanto al uso de metodologías científicas que apoyen la labor de rastreo. A partir de la literatura científica que analiza cómo afecta la socialización a la propagación se desarrolla una simulación sobre cómo se puede propagar la COVID 19 durante las interacciones sociales de las personas en sus distintos ámbitos de socialización. Sobre esta simulación se utiliza análisis de redes sociales y determinados algoritmos de detección de comunidades y de análisis de cohesión, para mostrar la idoneidad de estas metodologías para que el rastreo. Los resultados muestran que con el apoyo del análisis de redes sociales y de determinados algoritmos se accede de forma precoz a información clave sobre comunidades formadas en la estructura de red y sobre quiénes son los superpropagadores y los intermediadores entre las comunidades detectadas. Esto puede ayudar a priorizar la puesta en contacto con estas personas para cortar las cadenas de trasmisión comunitaria. Finalmente discutimos acerca de la idoneidad de que los profesionales del Trabajo Social se capaciten en estas metodologías para poder desarrollar esta labor del rastreo.Scientific consensus indicates that the best way to slow the spread of COVID 19 is by tracing the contacts of infected people. This measure has a social nature, since it seeks to analyze people’s networks to detect early who is at risk of being infected, alert them and impose quarantine, a measure of social isolation that prevents the potential spread. So far, much has been said about which professionals should perform this screening but Little about how it should be done. In this article, in the first place, it is defined what tracking is, which professionals are best prepared for the use of scientific methodologies that support tracking word. From the scientific literature that analyzes how socialization affects the spread, a simulation is developed on how COVID 19 can spread during the social interactions of people in their different areas of socialization. On this simulation, social network analysis and certain algorithms for community detection and cohesion analysis are used to show the suitability of these methodologies for tracking. The results show that with the support of social network analysis and certain algorithms, key information about communities formed in the network structure and who are the super-propagators and intermediaries between the detected communities is accessed early. This can help prioritize contacting these people to cut the chains of community transmission. Finally, we discuss the suitability for Social Work professionals to be trained in these methodologies in order to develop this tracking work.

Set Pair Social Network Analysis Model

2011 ◽  
Vol 50-51 ◽  
pp. 63-67 ◽  
Author(s):  
Hong Mei Yang ◽  
Chun Ying Zhang ◽  
Rui Tao Liang ◽  
Fang Tian
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Dynamic Problems ◽  
Analysis Model ◽  
Network Information ◽  
The Social ◽  
The Relationship

Through the study on social network information, this paper explore that there exists the certain and uncertain phenomena in the process of finding the relationship between individuals by using social networks, and the social networks are constantly changing. In light of there are some uncertainty and dynamic problems for the network, this paper put forward the set pair social network analysis model and set pair social network analysis model and its properties.

scholarly journals Using social network analysis to identify stakeholders’ influence on energy efficiency of housing

2017 ◽  
Vol 9 ◽  
pp. 184797901771262 ◽  
Author(s):  
Sherif Zedan ◽  
Wendy Miller
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Energy Efficiency ◽  
Social Network ◽  
Life Cycle ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Energy Efficient ◽  
Informed Decision Making ◽  
The Social

Energy-efficient housing is a product that integrates various stakeholders’ tasks throughout the different stages of its life cycle. The relationships between these stakeholders impact on the degree of knowledge sharing and informed decision-making and can potentially enhance or lower the energy efficiency of the product – the house. This article uses a social network analysis (SNA) approach to visualize the social networks of the stakeholders of a number of owner-occupied housing case studies in Australia. The aim is to analyse, contrast and quantify the degrees of connectivity and centrality of the housing stakeholders to identify which groups have more connectivity in the stakeholders’ network of energy-efficiency housing and consequently more potential to influence the energy efficiency outcomes and which practices are more likely to enhance transparency and information sharing that is essential for producing energy-efficient housing.

Duality beyondPersons and Groups

2020 ◽  
pp. 391-413
Author(s):  
Sophie Mützel ◽  
Ronald Breiger
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Data ◽  
Future Directions ◽  
Affiliation Networks ◽  
The Social ◽  
Recent Developments ◽  
Principle Of Duality ◽  
Seminal Article

This chapter focuses on the general principle of duality, which was originally introduced by Simmel as the intersection of social circles. In a seminal article, Breiger formalized Simmel’s idea, showing how two-mode types of network data can be transformed into one-mode networks. This formal translation proved to be fundamental for social network analysis, which no longer needed data on who interacted with whom but could work with other types of data. In turn, it also proved fundamental for the analysis of how the social is structured in general, as many relations are dual (e.g. persons and groups, authors and articles, organizations and practices), and are thus susceptible to an analysis according to duality principles. The chapter locates the concept of duality within past and present sociology. It also discusses the use of duality in the analysis of culture as well as in affiliation networks. It closes with recent developments and future directions.

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