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1
Content available remote Modelling Influence Propagation in Social Networks
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This paper presents a formalised description of the models of influence propagation in social networks introduced in the classic paper of Kempe et al. The formal framework that we propose clarifies the structure of the most popular propagation models and helps rigorously re-establish the essential results concerning the problem of influence maximisation. We also introduce new models of propagation and show how they fit into the general picture. In particular, we focus on models that capture either positive or negative effects of resisting influence on individual’s future resistance.
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Content available remote Use of New Media by Turkish Fans in Sport Communication: Facebook and Twitter
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This research examines the use of Facebook and Twitter, two social networks, for sportive reasons in Turkey.To this end, the literature was surveyed and a 5 Likert type data collection tool consisting of 21 questions was developed by the researcher based on the expert views. The sample of the research included 460 sport fans who are college students at Abant İzzet Baysal University and Sakarya University.It was found in the research that 91.7% of the participants had a profile on Facebook and 13.3% had a profile on Twitter. The rate of opening an account on Twitter, which still has no version in Turkish language, was low. It was found that the fans mostly followed the official site of their favorite team on Facebook, got informed about the sports activities through Facebook and learned news, which they did not hear from other sources. It was also ascertained that male fans used social networks for sportive reasons more than female fans did (p<.05). It is possible to state that social networks such as Facebook and Twitter have become a rapidly-developing alternative medium in sports against traditional media such as newspaper and television.
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Content available remote Dynamics of Social Networks: a Deterministic Approach
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Our aim is to model the dynamics of social networks, which comprises the problem of how people get to know each other, like each other, detest each other, etc. Most existing models are stochastic in nature and, obviously, based on random events. Our approach is deterministic and based on ordinary differential equations. This should not be seen as a challenge to stochastic models, but rather as a complement.
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One of the distinctive features of contemporary organisations is their interconnectedness. Relationships between companies are usually analysed on the basis of social network relationships between them. The research question this article aims to answer concerns the influence of being part of an interorganisational network on the occurrence and consequences of unethical behaviour.This paper covers three main areas of research regarding this topic. Firstly, the role networks play in the initiation, evolution, and consequences of wrongdoings. The main problem taken into consideration in this part of the article is identifying network factors which increase and mitigate the propensity of organisations to deceive their partners. Two main types of such determinants include relational and structural factors. The first group usually involves features such as the strength of ties, the symmetry/asymmetry of ties, and the status of partners. The latter includes such variables as structural holes, centrality, density and the cohesiveness of the network. The second area covered in this article concerns how misconduct behaviours spread throughout the network of interorganisational ties. This phenomenon might resemble a social or emotional contagion occurring in social networks. The effects of unethical acts on the network are the main interest of the third part of this paper. Usually, the consequences of wrongdoing by one of the interconnected partners include a change in the quality of the related partners, modifications in the structure of the network, and an alteration of its prominence and cohesion. In conclusion, there are some suggestions for lines of inquiry in the area of unethical behaviour from the social network perspective in the future.
EN
‘Social media’, ‘Web 2.0’, ‘collaborative learning’ and user co-creation are just some of the terms that describe changes in the role of information and communication technology (ICT) in business, private life and society. The changing face of ICT has finally brought about the fulfilment of the term ‘Information Society’ and made an important impact on many fields of research, including collaborative learning. The effective use of ICT in support of group collaboration has been researched and discussed. The effectiveness was attributed to systematically organized and facilitated processes. Nevertheless, the results are not always better when group support systems (GSS) are used in comparison to face-to-face work. In contrast to the well-organized GSS-supported learning process, the social media environment is non-structured, rule-free and even chaotic. In this paper, we research the possibilities of eliciting group knowledge in the group-learning process in a social media environment. A total of 24 students assigned into three groups participated in the three-week long study. Their task was to solve a given research topic by solely using an unfamiliar social media environment and to present their findings after three weeks. Students were observed in their natural learning environment (school, home, the Flowr virtual environment), and their attitudes on collaborative work using social media tools were measured with a questionnaire at the end of the study. The results suggest that non-structured social media environment stimulates self-management of the group. Some insights into trust, motivation and conflicts in the collaborative problem solving are discussed.
EN
The authors proposes to create a single platform solution that combines social networking, crowdsourcing management system and knowledge management system and learning manage-ment. The optimal approach in this case may be private educational cloud deployments. In a study conducted information modeling the main processes of interaction between participants in the educational cloud. The authors also has been proposed criteria for evaluating the effectiveness of the resulting solutions, technological and organizational requirements.
EN
Companies which decide on socially responsible activities usually take into consideration benefits including the marketing effects of CSR programmes. However, in order to achieve that, the information about the socially responsible activities of companies must be spread and reach the audience of the company. That includes stakeholders related to the company that might be interested in receiving information about the social initiatives undertaken by the company. These stakeholders are connected with the firm through the network of social ties (SN). The main goal of this article is to present a theoretical framework of roles that these networks of social ties play in the effective communication of CSR activities. This paper is divided into three parts. The first one concerns the problem of how to communicate the involvement of a company in social initiatives. The second one contains the description of possible communication processes and strategies. The last one presents the analysis of the social networks perspective and its main characteristics and, in conclusion, it summarizes the main benefits a company can gain by applying the SN concept to CSR communication in the area of attribution and information spread through various channels.
EN
At least a quarter of human population is actively engaging in social media. Social media possesses a high level of influence and importance. For example, social media shapes communication habits between people and provides a communication channel for business enterprises. The statement that teachers should utilise social media as a tool for improving teaching and learning experience, rather than ignoring it, is becoming a common topic for discussion. Hence the aim of this article is to analyse how to use social media in order to improve teaching and learning experience. A theoretical overview of scientific literature on the topic of social media application prospects in education is provided in this article, and a traditional input-process-output schematic for social media usage in teaching and learning is also developed.
9
Content available The Concept of Complex Network Evolution
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In this paper, I focused particular attention on the relationship between the structure and dynamics of complex networks. I am convinced of importance of measuring the structural properties of evolving networks in order to characterize how the connectivity of the investigating structures changes in time. Network measurement are therefore essential in my investigation. I intend to test how the non-stability of structure properties can be viewed as a factor that show abnormal state of the system (e.g. increasing of terrorism activity) modeled by complex networks. Complex networks are commonly modeled by means of simply or directed graphs. In some cases the use of graph to represent complex networks does not provide a complete description of the real-world systems under investigation. Consequently, I will formally introduce the hypernetwork concept as generalization for representing complex networks and will call them complex hyper-networks.
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Parkinson's Disease (PD) is the second most common neurodegenerative disease. Symptoms relate to the movement and cognitive sphere; they have a negative impact on the quality of life of people suffering from PD. Pharmacotherapy and rehabilitation slow the progression of the disease. The aim of the work was to determine the impact of physical rehabilitation on the level of social relations in the context of the quality of life of people with PD. 47 people with idiopathic PD were involved in the study, all were in the second stage of the disease according to the Hoehn & Yahr scale. The Courage Social Network Index (CSNI) was used to assess social relations. The scales: Quality of Life in Parkinson’s Disease 39 (PDQ-39), Medical Outcomes Study 36-item Short-Form Heath Survey (SF-36) and Parkinson’s Disease Quality of Life Questionnaire (PDQL) were applied in order to evaluate the quality of life of patients The subjects were divided into two groups: research and control. The research group took part in a rehabilitation program two times a week for 45 minutes for three months. The control group did not participate in any form of physical rehabilitation. The results of the research showed a significantly higher level of social bonds as well as quality of life of people with PD participating in physical rehabilitation. At the same time, a higher level of correlation between the level of social bonds and the level of quality of life was found in the research group. Therefore, the positive impact of physical rehabilitation on the level of social bonds and the quality of life of people with PD constituted the conclusion of the work.
11
Content available remote Game-Theoretic Centrality Measures for Weighted Graphs
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The betweenness centrality is one of the basic concepts in the analysis of the social networks. Initial definition for the betweenness of a node in the graph is based on the fraction of the number of geodesics (shortest paths) between any two nodes that given node lies on, to the total number of the shortest paths connecting these nodes. This method has polynomial complexity. We propose a new concept of the betweenness centrality for weighted graphs using the methods of cooperative game theory. The characteristic function is determined by special way for different coalitions (subsets of the graph). Two approaches are used to determine the characteristic function. In the first approach the characteristic function is determined via the number of direct and indirect weighted connecting paths in the coalition. In the second approach the coalition is considered as an electric network and the characteristic function is determined as a total current in this network. We use the Kirchhoff's law. After that the betweenness centrality is determined as the Myerson value. The results of computer simulations for some examples of networks, in particular, for the popular social network "VKontakte", as well as the comparing with the PageRank method are presented.
PL
W artykule zaprezentowano identyfikację wpływowych jednostek w blogosferze stosując metodę analizy sieci społecznej. Identyfikacja jest dokonywana przez obliczenie podstawowych miar sieci społecznych dla węzłów, rozpatrywanie wpływu poszczególnych postów na blogosferę oraz wyodrębnienie w sieci grup jednostek mających silne wzajemne powiązania społeczne.
EN
In the paper, methods of identification of the influential persons in the blogosphere using the social network analysis approach are presented. The identification is performed thanks to an estimation of the values of social network measures for nodes, an analysis of the influence of given posts onto the posts written by other authors, or by the recognition of the groups in the network composed from entities having strong reciprocal social links.
13
Content available remote Two-Level Hierarchical Classification of Music Genre for Music Social Networks
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The paper deals with the problem of the content based categorization of music and is focused on a music genre classification. The music genre is a set of characteristics of a group of musical works which distinguishes a given piece from the others. This subject is especially important in social networks, where users are interested in creating playlists or to benefit from efficient recommendation systems. An open source simple and robust system with two-level hierarchical taxonomy is proposed that would facilitate the genre classification of popular music published in free social networks by independent artists. As a test bed for experiments the music published in the free music service Jamendo.com has been used.
EN
In this paper, we consider the utilization of the graph and network theory in the field of modeling and simulating the dynamics of infectious diseases. We describe basic principles and tools and show how we can use them to fight against the spread of this phenomenon. We also present our software solutions that can be used to support decision-making activities.
15
Content available remote Dynamics of social networks: A deterministic approach
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EN
Our aim is to model the dynamics of social networks, which comprises the problem of how people get to know each other, like each other, detest each other, etc. Most existing models are stochastic in nature and, obviously, based on random events. Our approach is deterministic and based on ordinary differential equations. This should not be seen as a challenge to stochastic models, but rather as a complement.
16
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In this paper we present our latest research in the area of social network system implementation. Both business and technological aspects of social network system development are considered. There are many tools, languages and methods for developing large-size software systems and architectures represented by social network systems. However, no research has been done yet to uncover the reasons behind the selection and usage of such systems in terms of choosing the right architecture and data storage. We describe effective approach to developing specific parts of social Network systems with special attention to data layer (using Hadoop, HBase and Apache Cassandra), which forms the foundation of Any social network system and is highly demanding for performance and scalability.
EN
The subject of this work is the use of social network analysis to increase the effectiveness of methods used to predict churn of telephony network subscribers. The social network is created on the basis of operational data (CDR records). The result of the analysis is customer segmentation and additional predictor variables. Proposed hybrid predictor employs set of regression models tuned to specific customer segments. The verification was performed on data obtained from one of the Polish operators.
EN
Graph-based network modeling is becoming increasingly pervasive touching very different fields. Among these are social networks analysis and brain connectivity modeling. Though apparently very far apart, these two domains share the same questions about how the underlying network is structured and how this can be measured. This determines an a-priori unexpected convergence of the research efforts of two different communities, that is neurosciences and information technology. In this work, we put forth some basic issues emerging from the overlaps of the two domains and propose a first simple measure allowing to capture one among the features of interest: the transtopic closeness centrality. To this end, the related concepts are briefly recalled and two case studies are considered. Then, relying on social network analysis principles, the transposition to functional brain networks is proposed highlighting and discussing some of the inherent critical issues.
EN
Modern human generation, especially the younger generation, in the digital world spends more and more time. Experts in the area recorded a significant increase of interest of people on social networks. On the present, in a frame of the so-called digital contacting the people themselves is to contact online social networks, perhaps the most popular form. Article mentions the risks of leakage and misuse of personal data on such online social networks.
EN
The paper presents results of the research project that explored the mode in which Polish political parties use their Facebook profiles. The findings of the analysis prove that interactive and multimedia aspect of social networking is employed only in a limited degree. Party profiles are not used as a platform of the information on party activity distribution. Even basic contact data is not available on each of analyzed profiles. Moreover, as was expected, there is no clear association between the technical sophistication of the specific party profile and the position of the party on political market. Parties which are leaders of the ICT (Information and Communication Technologies) use are not dominating in terms of both possessed resources and the role played in parliamentary politics.
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