The study of social capital through the social network analysis for a participatory tourism management: a governance network proposal for Tierra Bobal (Valencia)

The development of participatory water management in the basin as a social transformation is dependent on agricultural innovation, and identifying this system is a prelude to its improvement and development in line with the transition to participatory management of water resources. The purpose of this study was to investigate and analyze the stakeholders of agricultural innovation system in Lake Urmia basin in West Azarbaijan province. A focus group, semi-structured interviews and questionnaires with experts and key informants at the Lake Urmia basin area were applied to identify the stakeholders of agricultural innovation system. Also, the power-interest matrix and social network analysis were used to classify and analyze the actors and their interactions in order to develop participatory water managment. According to the results, 31 key stakeholders were extracted from the 88 identified primary stakeholders. The results showed that in the area of power most of the cases were related to resource mobilization and in the area of interest was related to value chain development and revenue increase. The social cohesion and sustainability of the agricultural innovation system network were weak in the context of knowledge sharing and information flow, but it was highly robust and stable under critical conditions. The Meteorological Office, the Pressure Irrigation System Design and Consulting Companies, and the West Azerbaijan Center for Sound and Sound Management were located in the area of receiving knowledge and information, further communicated with other key stakeholders. However, the Organization of Agricultural Jihad, local leaders, and agricultural engineering and technology companies also had the center of knowledge disseminating and sharing. In order to develop participatory management in the Lake Urmia basin and sustainable agricultural development, key organizations responsible for agricultural activities are required to adopt appropriate strategies to change their position in the institutional network, while neglecting the effective role of public management in the agricultural innovation system.

ObjectivesSocial network analysis focuses on the relationships between people and structures that form through their interactions. Research in the field has shown that people can be influenced by their social...

ObjectivesSocial network analysis focuses on the relationships between people and structures that form through their interactions. Research in the field has shown that people can be influenced by their social...

O turismo de base comunitaria (TBC) e o resultado de um processo de colaboracao intracomunitario baseado em relacoes interpessoais, no qual a rede social se apresenta como elemento que tem a capacidade de medir a extensao da colaboracao. O presente trabalho discute o TBC assumindo que o processo de gestao da atividade turistica supoe envolvimento em relacoes sociais. Para avaliar empiricamente a implicacao do padrao relacional na gestao turistica, aplicou-se a analise de redes sociais (ARS) na rede de colaboracao do TBC da Prainha do Canto Verde (Ceara, Brasil). O principal objetivo e contribuir com a reflexao teorico-metodologica sobre como os padroes relacionais dentro de uma comunidade podem lancar luz sobre a gestao participativa no turismo local, atendendo a complexidade que caracteriza as relacoes sociais e o sistema turistico. As conclusoes apontam para a pertinencia da abordagem de redes na analise dos processos e resultados do desenvolvimento turistico comunitario.

Introduction: The integrated water resource management is considered for development planning and water and soil resources management with an emphasis on the socio-economic features of the region for sustainability. The main purpose of study was to identify the organizations involved in the watershed management of Chehelchay of Golestan province in Iran, as well as analyzing the types of communications and interactions between organizations in terms of intensity and type.Methods: Three networks of information exchange, coordination and participation were studied due to network analysis. Thus, the related organizations involved in participatory and comprehensive management of Chehelchay watershed (30 organizations) were introduced during the trips of the research team to the site and using special questionnaire. Then, the other specialized questionnaires were collected from the informed panels of each organization to provide the required data in the network analysis. A total of 84 specialists were interviewed. About half of the respondents (42 individuals) had graduate education and their average work experience was about 15 years. One third of the respondents (28 individuals) were women. The data analysis process was performed with UCINET6.631 and NetDraw.Results and Discussion: The results indicated that the density index in information exchange (31.5%), coordination (27.5%) and participation (10%) networks were less than average. In the participation network, the values of the density index are very low and coherence is the same among the networks (information exchange, coordination, and participation). The results of reciprocity index among the organizational actors in the networks of information exchange (31.10%), coordination (33.52%) and participation (10.13%) were also less than average. Therefore, identifying the key actors with high social power in the network of local natural resources is a requirement of watershed participatory management plan. The runtime and cost of implementing natural resource projects can be significantly decreased by understanding and deploying these organizations and individuals. Social power and comprehensive participatory management is generally the key tools for building trust between local natural resource users. A systematic shift is also required from governmental management toward governance in order to achieve sustainable natural resource and watershed management.

Today e-Government is indispensible to the public administration and microblogs are often used as a part of e-Government especially when the public administration needs wide-ranging citizens' participations. The participatory budgeting management in which citizens are given rights to decide how much money will be spent on the public budgeting projects is such kind of public administration. How to make full use of the government affair microblogs in the participatory budgeting management is the serious problem that the local governments in China are facing with. In this paper, we demonstrate the mining of a government affairs microblog network involved in the participatory budgeting management from Sina Weibo, the largest microblog platform in China, with Social Network Analysis, in order to put forward clues for improving the application of the government affair microblogs in e-Government implement of the participatory budgeting management. We dissect the network from two layers. On the first layer, we reveal the structural characteristics of the whole government affairs network with four features, including density, clustering coefficient, geodesic distance, and cliques. On the second layer, we first analyze the structural characteristics of the individual microblogs with four features, including degree, closeness, betweenness, and core & periphery, and then illustrate the powerful microbloggers with the help of revealing their identities in the real world.

The seventh SNA-KDD workshop is proposed as the seventh in a successful series of workshops on social network mining and analysis co-held with KDD, soliciting experimental and theoretical work on social network mining and analysis in both online and offline social network systems. In recent years, social network research has advanced significantly, thanks to the prevalence of the online social websites and instant messaging systems as well as the availability of a variety of large-scale offline social network systems. These social network systems are usually characterized by the complex network structures and rich accompanying contextual information. Researchers are increasingly interested in addressing a wide range of challenges residing in these disparate social network systems, including identifying common static topological properties and dynamic properties during the formation and evolution of these social networks, and how contextual information can help in analyzing the pertaining social networks. These issues have important implications on community discovery, anomaly detection, trend prediction and can enhance applications in multiple domains such as information retrieval, recommendation systems, security and so on. The past SNA-KDD workshops have achieved significant attentions from the world-wide researchers working in different aspects of social network analysis, including knowledge discovery and data mining in social network, social network modeling, multi-agent based social network simulation, complex generic network analysis and other related studies that can bring inspirations or be directly applied to social network analysis. Each year we received more than 30 submissions. The average acceptance rate is around 1/3.

Chapter 3 - Privacy-Preserving Social Network Integration, Analysis, and Mining

Institutional networks and adaptive water governance in the Klamath River Basin, USA

Modeling, analysis, control, and management of complex social networks represent an important area of interdisciplinary research in an advanced digitalized world. In the last decade social networks have produced significant online applications which are running on top of a modern Internet infrastructure and have been identified as major driver of the fast growing Internet traffic. The "Second International Workshop on Modeling, Analysis and Management of Social Networks and Their Applications" (SOCNET 2018) held at Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany, on February 28, 2018, has covered related research issues of social networks in modern information society. The Proceedings of SOCNET 2018 highlight the topics of a tutorial on "Network Analysis in Python" complementing the workshop program, present an invited talk "From the Age of Emperors to the Age of Empathy", and summarize the contributions of eight reviewed papers. The covered topics ranged from theoretical oriented studies focusing on the structural inference of topic networks, the modeling of group dynamics, and the analysis of emergency response networks to the application areas of social networks such as social media used in organizations or social network applications and their impact on modern information society. The Proceedings of SOCNET 2018 may stimulate the readers' future research on monitoring, modeling, and analysis of social networks and encourage their development efforts regarding social network applications of the next generation.

The rapid growth in popularity of online social networks provides new opportunities in computer science, sociology, math, information studies, biology, business, and more. Social network analysis (SNA) is a paramount technique supporting understanding social relationships and networks. Accordingly, certain studies and reviews have been presented focusing on information dissemination, influence analysis, link prediction, and more. However, the ultimate aim is for social network background knowledge and analysis to solve real-world social network problems. SNA still has several research challenges in this context, including users’ privacy in online social networks. Inspired by these facts, we have presented a survey on social network analysis techniques, visualization, structure, privacy, and applications. This detailed study has started with the basics of network representation, structure, and measures. Our primary focus is on SNA applications with state-of-the-art techniques. We further provide a comparative analysis of recent developments on SNA problems in the sequel. The privacy preservation with SNA is also surveyed. In the end, research challenges and future directions are discussed to suggest to researchers a starting point for their research.

Chapter 3 - Social Network Analysis: Measuring, Mapping, and Modeling Collections of Connections

Role of social networks in urban forest management collaboration: A case study in northern Japan

As an emerging research approach, social network theory and analysis has been embraced and effectively applied in disciplines that have overlapping interests with sport management researchers including such fields as organizational behavior and sport sociology. Although a number of sport management scholars have investigated network-related concepts, to date no sport management studies have fully utilized the analytical tools that social network theory and analysis have to offer. In conjunction with a discussion about the ontological, epistemological, and methodological perspectives associated with network analysis, this article uses several examples from the sport management and organizational behavior bodies of literature to illustrate a number of the advantageous techniques and insights social network theory and analysis can offer. These examples are meant to provide a general understanding of the utility and applicability of the social network theory and analysis and potentially inspire sport management researchers to adopt a social network lens in their future research endeavors.

<p>Social learning and network analyses are theorised to be of great utility in the context of behavioural conservation. For example, harnessing a species’ capacity for social learning may allow researchers to seed useful information into populations, while network analyses could provide a useful tool to monitor community stability, and predict pathways of pathogen transfer. Thus, an understanding of how individuals learn and the nature of the social networks within a population could enable the development of new behavioural based conservation interventions for species facing rapid environmental change, such as human-induced habitat modification. Parrots, the most threatened avian order worldwide, are notably underrepresented in the social learning and social network literature. This thesis addresses this knowledge gap by exploring social learning and networks using two endangered species of parrot; kākā (Nestor meridionalis) and kea (Nestor notabilis). The first study explores social learning of tool use in captive kea, using a trained kea demonstrator. The results from this experiment indicate that both social learning and play behaviour facilitated the uptake of tool use, and suggests that kea are highly sensitive to social information even when presented with complex tasks. The second study assesses whether wild kākā can socially learn novel string-pulling and food aversion behaviours from video playbacks of conspecific demonstrators. Although there was no evidence to indicate that kākā learn socially, these individuals also show no notable reaction to video playback of a familiar predator. Therefore, these results are likely due to difficulties in interpreting information on the screens, and not necessarily a reflection of their ability to perceive social information. In the final study, social network analysis (SNA) was performed to map social connectivity within wellington’s urban kākā population. SNA indicates that kākā form non-random social bonds, selectively associating with some individuals more than others, and also show high levels of dissimilarity in community composition at different feeding sites. Taken together, these results provide rare empirical evidence of social learning in a parrot species and suggest that even complicated seeded behaviours can quickly spread to other individuals. These findings may also be indicative of the difficulties in conducting video playback experiments in wild conditions, which is an area in need of future research. Overall, these findings contribute to the very limited body of research on social learning and networks in parrots, and provide information of potential value in the management of these species.</p>