Query: government AND "social networks"

title: Citizens' attitudes towards e government presence on social networks (e government 2.0) An empirical study
abstract: Government agencies are increasingly looking to leverage social media usage to improve governmental services quality and enable greater citizen engagement. Publicly available social media sites such as Facebook and Twitter, which are widely available to governments' employees and citizens with Internet access, provide governments with attractive options for meeting such new objectives. This research explored the literature in this area and tried to develop an instrument to measure citizens' attitudes toward government 2.0 based on four main variables: perceived value of e government, e government usage intensity, general trust in government, general Internet usage. A random moderate sample of Jordanian citizens was used to test the instrument.

title: Evolutionary Game Analysis of Harmful Information Governance in Social Networks with Public Participation
abstract: This paper uses evolutionary game theory as the main research method to depict the dynamic evolution of strategic choices between government regulatory agencies and social network platforms with public participation, constructs a 'trinity' social network harmful information multi dimensional collaborative governance system.

title: Towards Trust based Decentralized Ad Hoc Social Networks
abstract: Social Media has transformed modern day society. It can be argued that one of the main drivers behind this transformation are novel ways to effectively distribute content in a highly targeted fashion and at scale. Recently, this effectiveness has come under attack based on new phenomena known as Fake News, Filter Bubble and Echo Chambers. The public debate about the impact of these phenomena on modern day society ranges from demanding a complete social media shutdown to government intervention and censorship. Furthermore, it appears that Social Media Platform providers are not sure what countermeasures are needed to address these new challenges. The main concern is that Black Mirror like scenarios will emerge simply by allowing privately held companies decide what content is conforming to public norms leading to a distortion of values. This paper presents an alternative solution by focusing on empowering meaningful relationships and not content engagement. The main motivation behind the proposed solution is to create social networks that follow a Trust by Design paradigm. This paper introduces and discusses the above mentioned challenges and presents a novel new social media concept seeking to overcome current challenges.

title: A study on the security of public opinion in social networks
abstract: In this paper, we consider the security problem of public opinions when it has terrorists who try to guide people's opinions to malicious ones in social network. First, we propose an opinion dynamics model, which is composed by the suspects, the defenders and the masses. In this model, a set of suspects influenced by the terrorists at the beginning send malicious opinions to their neighbors. Similarly, the defenders spread the government's opinion to resist people's opinions following that of terrorists. Second, we consider the random communication among neighbours, where people can not interact with each other every time. At the last, we provide a sufficient condition to ensure the convergence of the expected opinions of the system. Finally, we provide some numerical examples to illustrate all the derived results.

title: Could Data from Location Based Social Networks Be Used to Support Urban Planning?
abstract: A great quantity of information is required to support urban planning. Usually there are many (not integrated) data sources, originating from different government bodies, in distinct formats and variable properties (e.g. reliability, completeness) The effort to handle these data, integrate and analyze them is high, taking to much time for the information to be available to help decision making. We argue that data from location based social networks (LBSN) could be used to provide useful information in reasonable time, despite several limitations they have. To asses this, as a case study, we used data from different LBSN to calculate the Local Availability Index (IOL) for a Brazilian city. This index is part of a methodology to estimate quality of urban life inside cities and is used to support urban planning. The results suggest that data from LBSN are useful and could be used to provide insights for local governments.

title: Factors for Continued Interaction between the Kuwaiti Government and Citizens via Social Media Networks: A Proposed Model
abstract: With advancements in social networking, there is a need for transparency in the changing nature of the interaction between governments and citizens. Recent studies have discovered that the perception of government transparency greatly influences the interaction between citizens and governments and citizen trust in government via social media networks. Surveys indicate that Kuwaiti citizens lack interaction with their governments on social media networks. This problem is not straightforward to solve; Europe also faces the same issue. Governments can take advantage of social media networking to meet their operational objectives and improve service quality. Therefore, a model is needed that increases the interaction and communication between citizens and their governments. This paper presents a new model for factors influencing the continued interaction between the Kuwaiti government and its citizens via social networks  based on Delone and McLean information system (IS) success model (2003) combined with the unified theory of acceptance and use of technology and both the trust and loyalty factors.

title: Ego clustering based propagation prediction of time series in social networks
abstract: Online social networks are now recognized as an important platform for propagating information. Recently, a lot of efforts are made to predict the popularity of social information, to help the government and companies effectively control and guide public opinions. Information propagation in social networks exist many different temporal patterns, which are useful reference for predicting the future spreading of news. Considering temporal patterns are related to the network structure and information content, some researchers formulated a time series clustering problem to obtain temporal patterns in social networks. Previous clustering based algorithms take each cluster center as a typical propagation pattern, and then classify prediction object into its nearest neighbor cluster. However, the nearest pattern can not fit the prediction object very precisely. This paper proposes a novel E CTPM (Ego Clustering based Temporal Prediction Model) E CTPM utilizes the prediction object itself as a fixed cluster center, which can attract the most similar time series into one cluster and generate an ego pattern for the prediction object. The tailored pattern fits the prediction object well, so it is suitable to indicate the future propagation. Experiments are carried on twitter and phrase datasets, with the results that E CTPM outperforms the existing algorithms by achieving lower prediction bias and prediction variance. Meanwhile, E CTPM has general applicability, which is able to work with multiple clustering methods and avoids the prediction difference resulting from classification methods.

title: An Intelligent Step to Effective e Governance in India through E Learning via Social Networks
abstract: According to an air quality monitoring surveydone by Greenpeace, India has PM2.5 levels, which is arguablyhigher than safety limits. It is essential to impart environmentaleducation to denizens of India. Previous solutions include usageof Mobile Apps to aid in sharing Air Quality Index as a part of E Governance initiatives. To aid Government in boosting theefficacy of E Governance service for pollution control andprovide environmental education, we intend to design anintelligent framework that utilizes social networks. In this paper, we have proposed an automated framework for pollution controlE Governance service which takes the user profiles on socialnetworks and data collected from Internet of Things (IoT) basedair pollution sensors as input. The prototype utilizes Machinelearning algorithm to avoid human intervention and socialnetworks as a platform to aid in outreaching environmentaleducation to large masses of people.

title: Mobilizing scarce resource through social networks: Exploring mechanism that accelerated the growth of the Chinese PV industry
abstract: This paper explores how the Chinese photovoltaic (PV) industry had grown extremely fast from the middle of 2000s, and successfully dominated the world PV product market, by conducting a detailed field study on the industry cluster of Wuxi area in Jiangsu Province, which involves interviews to more than 42 persons and the questionnaire survey. Whereas prior research has tended to emphasize roles of the central government and entrepreneurial activities of major PV firms, we rather focus on processes that enabled PV firms, including small and medium ones, to get access to the resources such as technology, management know how, and skilled labors, which were critical for their growth but rare in China. Our study particularly indicates that social networks based on informal and personal relations had taken very important roles for Chinese PV firms to overcome problems derived from scarcity of such critical resources. But it also implies that this process has induced homogeneity of firms and driven intense price competition in the market. The study sheds a light on both positive and negative roles of socially embedded relations on the industrial growth in developing countries.

title: Management of social networks by universities category a in ecuador
abstract: Universities in Ecuador face revolutionary change. The government has established sanctions and certain groupings in higher education. Fourteen universities were closed in 2012, and the rest were categorized A, B, C and D, with those in category A being the top universities and those in D being universities that do not meet all the requirements established by the Board of Evaluation, Accreditation and Quality Assurance in Higher Education (CEAACES) Within this framework, the research proposes to analyze the management of institutional social networks of category A, which includes Polytechnic National, EPN, Escuela Superior Politecnica del Litoral, ESPOL, and Universidad San Francisco de Quito, USFQ. Statistical analysis will review interaction and user engagement with the published content to demonstrate its reach and presence. USFQ is the university with greater presence and engagement on Facebook and Twitter and is making inroads into other networks frequently used by millennials.