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.

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 manifest and latent functions of Twitter use by journalists: An observational study among economic journalists

2019 ◽  
Vol 8 (3) ◽  
pp. 311-329
Author(s):  
Michiel Johnson ◽  
Steve Paulussen ◽  
Peter Van Aelst
Keyword(s):  
Content Analysis ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Observational Study ◽  
Dominant Position ◽  
Automated Content Analysis ◽  
The Social ◽  
Potential Sources ◽  
The Media

This study focuses on Twitter use among economic journalists working for print media in Belgium. By looking into their tweeting and following behaviour, the article examines how economic journalists use Twitter for promotional, conversational and sourcing purposes. Based on an automated content analysis of what they tweet and a social network analysis of whom they follow, the results show that economic journalists mainly use Twitter to promote themselves and their news organization rather than to engage in public conversation on the platform. In addition, the study looks into their following behaviour to investigate which actors they consider as 'potential sources'. Here, the findings are consistent with previous studies among political and health journalists, indicating that journalists are more likely to follow institutionally affiliated rather than non-affiliated sources on Twitter. Furthermore, the social network analysis gives additional evidence of the media-centered of journalists' Twitter use, as media-affiliated actors maintain a dominant position in the economic journalists' Twitter networks.

scholarly journals How Learners Participate in Connectivist Learning: An Analysis of the Interaction Traces From a cMOOC

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Zhijun Wang ◽  
Terry Anderson ◽  
Li Chen
Keyword(s):  
Content Analysis ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
The Social ◽  
Data Output ◽  
Participation Inequality ◽  
Interaction Traces ◽  
Insight Into ◽  
Interpretative Research

<p class="3">In this research paper, the authors analyse the collected data output during a 36 week cMOOC. Six-week data streams from blogs, Twitter, a Facebook group, and video conferences were tracked from the daily newsletter and the MOOCs’ hashtag (#Change 11). This data was analysed using content analysis and social network analysis within an interpretative research paradigm. The content analysis was used to examine the technology learners used to support their learning while the social network analysis focused on the participant in different spaces and their participation patterns in connectivist learning.</p><p class="3">The findings from this research include: 1) A variety of technologies were used by learners to support their learning in this course; 2) Four types of participation patterns were reveled, including unconnected floaters, connected lurkers, connected participants, and active contributors. The participation of learners displays the participation inequality typical of social media, but the ratio of active contributors is much higher than xMOOCs; 3) There were five basic structures of social networks formed in the learning; and 4) The interaction around topics and topic generation supports the idea of learning as network creation after the analysis of participation patterns that are based on some deep interactive topic. The aim of this study is to gain insight into the behaviors of learners in a cMOOC in an open and distributed online environment, so that future MOOCs designers and facilitators can understand, design and facilitate more effective MOOCs for learners.</p>

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 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.

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 EXAMINING THE INFORMATION DISSEMINATION PROCESS ON SOCIAL MEDIA DURING THE MALAYSIA 2014 FLOODS USING SOCIAL NETWORK ANALYSIS (SNA)

2017 ◽  
Author(s):  
Abdus-Samad Temitope Olanrewaju ◽  
Rahayu Ahmad
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Dissemination ◽  
Governmental Organization ◽  
The Social ◽  
Dissemination Process ◽  
Information Providers

This article is based on a study which examined the information dissemination process on the social media during the Malaysia 2014 floods by employing the Social Network Analysis. Specifically, the study analyzed the type of network structure formed and its density, the influential people involved, and the kind of information shared during the flood. The data was collected from a non-governmental organization fan page (NGOFP) and a significant civilian fan page (ICFP) on Facebook using NodeXL. The two datasets contained 296 posts which generated different network structures based on the state of the flood, information available, and the needs of the information. Through content analysis, five common themes emerged from the information exchanges for both fan pages which helped in providing material and psychological support to the flood victims. However, only 5% of the networks’ population served as information providers, and this prompted the need for more active participation especially from organizations with certified information. Based on the findings presented and elaborated, this article concluded by stating the implications and recommendations of the study conducted.  

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.

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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