Research on Microblog Based on Analysis of Mapping Knowledge

2014 ◽  
Vol 687-691 ◽  
pp. 3048-3052 ◽  
Author(s):  
Yun Jiang Xi ◽  
Wei Chan Li ◽  
Xiao Liao
Keyword(s):  
Cluster Analysis ◽  
Public Opinion ◽  
Social Network ◽  
Network Analysis ◽  
New Media ◽  
Knowledge Mapping ◽  
Propagation Characteristics ◽  
Application Research ◽  
Opinion Analysis ◽  
Mapping Theory

This paper studieddomestic micro-blog areas, which adopted the cluster analysis; strategic coordinate analysis and co-word network analysis based on the knowledge mapping theory and methods with software tools SPSS19.0, Matlab, Ucinet6.0 and NetDraw. The study found that research of micro-blogareas can be divided into five knowledge groups: (1) propagation characteristics and application research of micro-blog; (2) marketing and social network analysis based on the micro-blog; (3) new media characteristics and application research of micro-blog; (4) microblogging public opinion analysis and its application research in colleges and universities and government affairs; (5) based on theEmergency communications and microblogging public opinion monitoring guide method research.

scholarly journals Living in digital space: Everyday life on Twitter

2021 ◽  
pp. 31-47
Author(s):  
Züleyha Özbaş-Anbarlı
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
New Media ◽  
Everyday Life ◽  
Life Time ◽  
Digital Networks ◽  
Daily Lives ◽  
Digital Space ◽  
Time Space ◽  
Production And Consumption

New media tools and the corresponding digital networks have begun to take part in the centre of our daily lives, thereby caused a practice of everyday life in digital space. In Twitter, a network in which users are involved through the machines, the concepts such as life, time, space, rhythm have developed. This study focuses on the constitution of everyday life in digital space. Twitter is a digital space that users do their everyday life practices in this network and are involved in through the machines. A sample of 10 Turkish users was selected with social network analysis to discover everyday life practices in this digital space. The content produced by this sample was observed employing digital ethnography and analysed by the sociology of everyday life. It is observed that Twitter creates its own rhythm. Observations show in Twitter that tactics have been produced, and strategies have been tried to be turned down with these tactics and acted rhythmic practices as forms of production and consumption in everyday life. People tend to follow similar others on Twitter, and accordingly, content is being produced for an imaginary community.

scholarly journals Combining Stakeholder- and Social Network- Analysis to Improve Regional Nature Conservation: A Case Study from Osnabrück, Germany

2021 ◽  
Author(s):  
Felix Przesdzink ◽  
Laura Mae Herzog ◽  
Florian Fiebelkorn
Keyword(s):  
Nature Conservation ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Exchange ◽  
Theory And Practice ◽  
Knowledge Mapping ◽  
Land User ◽  
User Groups ◽  
Conservation Projects

AbstractMany nature conservation projects fail primarily not because of a lack of knowledge about upcoming threats or viable conservation concepts but rather because of the inability to transfer knowledge into the creation of effective measures. Therefore, an increase in information exchange and collaboration between theory- and practice-oriented conservation actors, as well as between conservation actors, land user groups, and authorities may enhance the effectiveness of conservation goals. By considering the interactions between conservation stakeholders as social networks, social network analysis (SNA) can help identify structural optimization potential in these networks. The present study combines SNA and stakeholder analysis (SA) to assess the interactions between 34 conservation stakeholders in the major city and district of Osnabrück in northwestern Germany and offers insights into cost/benefit optimizations of these stakeholder interactions. Data were acquired using a pile sort technique and guideline-based expert interviews. The SA, based on knowledge mapping and SWOT (strength, weaknesses, opportunities, and threats) analysis, identified individual stakeholder’s complementary properties, indicating which among them would most benefit from mutual information exchange and collaboration. The SNA revealed discrepancies in information exchange and collaboration between theory- and practice-focused stakeholders. Conflicts were found predominantly between conservation associations, authorities and land user groups. Ecological research, funding, land-use conflicts, and distribution of conservation knowledge were identified as fields with high potential for increased information exchange and collaboration. Interviews also showed that the stakeholders themselves see many opportunities for increased networking in the region. The results are discussed in relation to the existing literature on nature conservation networks and used to recommend optimization measures for the studied network. Finally, the conclusion reflects upon the developed approach’s implications and possibilities for conservation stakeholders and planners in general.

scholarly journals Twitter Networks’ Centrality Measures of the Association of Health Journalist (ANIS): the Case of Vaccines - Introduction and Theoretical Framework

2020 ◽  
Vol 3 (2) ◽  
pp. 12
Author(s):  
Miguel Martín Cárdaba ◽  
Rafael Carrasco Polaino ◽  
Ubaldo Cuesta Cambra
Keyword(s):  
Social Networks ◽  
Public Opinion ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Theoretical Framework ◽  
Communication Strategy ◽  
Centrality Measures ◽  
The Social ◽  
One Year

The popularization of Internet and the rise of social networks have offered an unbeatable opportunity for anti-vaccines, especially active communicators, to spread their message more effectively causing a significant impact on public opinion. A great amount of research has been carried out to understand the behavior that anti-vaccine communities show on social networks. However, it seems equally relevant to study the behavior that communities and communicators “pro vaccines” perform in these networks. Therefore, the objective of this research has been to study how members of the Spanish Association of Health Journalist (ANIS) communicate and use the social network Twitter. More specifically, the different interactions made by ANIS partners were analyzed through the so-called “centrality measures of social network analysis” (SNA), to check the configuration of the user network and detect those most relevant by their indexes of centrality, intermediation or mentions received. The research monitored 142 twitter accounts for one year analyzing 254 twits and their 2.671 interactions. The research concluded that the network of ANIS partners on Twitter regarding vaccines has little cohesion and has several components not connected to each other, in addition to the fact that there are users outside the association that show greater relevance than the partners themselves. We also concluded that there are an important lack of planning and direction in the communication strategy of ANIS on Twitter, which limits the dissemination of important content.

Partnerships and Networks to Support Implementation Science

2018 ◽  
Author(s):  
Shoba Ramanadhan ◽  
Racquel E. Kohler ◽  
K. Viswanath
Keyword(s):  
Public Opinion ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Implementation Science ◽  
Public Private Partnership ◽  
Research Practice ◽  
Private Partnership ◽  
Challenges And Opportunities ◽  
Quality Value

Partnerships between researchers and stakeholders offer an opportunity to bring scientific and practice-based knowledge and experience together to improve the quality, value, and relevance of implementation science efforts and increase the application of findings. The chapter covers (1) a continuum of engagement for research–practice partnerships, including the benefits and challenges of engaged implementation science; (2) challenges and opportunities for partnerships in implementation science in community, policy, public opinion, and public–private partnership domains; (3) implementation science partnership evaluation, with an emphasis on social network analysis; and (4) a series of questions for the field as increasing attention is paid to partnerships for implementation science.

scholarly journals Who Is Connected with Whom? A Social Network Analysis of Institutional Interactions in the European CCA and DRR Landscape

2020 ◽  
Vol 12 (3) ◽  
pp. 1275 ◽  
Author(s):  
Eleni Karali ◽  
Dragana Bojovic ◽  
Gabriela Michalek ◽  
Carlo Giupponi ◽  
Reimund Schwarze
Keyword(s):  
Climate Change ◽  
Cluster Analysis ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Climate Adaptation ◽  
Qualitative Interviews ◽  
Climate Change Impacts ◽  
Vision Statements ◽  
European Climate

Communication and collaboration are critical for designing and implementing responses to climate change impacts and related disasters. This acknowledgement has increased interest in understanding social and institutional networks for climate change adaptation (CCA) and disaster risk reduction (DRR). In this study, we used Social Network Analysis (SNA) to explore institutional interactions within and across the communities of the aforementioned domains in Europe. Firstly, we investigated the type and intensity of interactions. We calculated SNA metrics to assess the roles of different actors and applied cluster analysis to identify actors with similar patterns of connections. SNA showed that communication is often more intensive within the two communities, while collaboration is frequent around topics related to both CCA and DRR. Cluster analysis revealed that actors tied with DRR were more closely connected, while actors tied with CCA and those with mixed connections showed no obvious clustering affinity. The European Climate Adaptation Platform, Climate-ADAPT, had the highest value for various SNA metrics, reflecting its popularity in the network and its potential for enhancing interactions among its actors. Finally, SNA was complemented by qualitative interviews, which emphasised the importance of connecting CCA and DRR in organisational mission and vision statements.

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