Cross-network propagation model of public opinion information and its control in coupled double-layer online social networks

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yun Li ◽  
Jiakun Wang
Keyword(s):  
Social Networks ◽  
Public Opinion ◽  
Double Layer ◽  
Online Social Networks ◽  
Early Stage ◽  
Intervention Strategy ◽  
Propagation Model ◽  
Content Type ◽  
Propagation Law ◽  
Network Propagation

PurposeIn modern society, considering the multi-channel of public opinion information (public opinion) propagation and its strong influence on social development, it is necessary to study its propagation law and discuss the intervention strategy in online social networks (OSN).Design/methodology/approachFirst, a conceptual model of double-layer OSN was constructed according to their structural characteristics. Then, a cross-network propagation model of public opinion in double-layer OSN was proposed and discussed its spreading characteristics through numerical simulations. Finally, the control strategy of public opinion, especially the timing and intensity of intervention were discussed.FindingsThe results show that the double-layer OSN promotes the propagation of public opinion, and the propagation of public opinion in double-layer OSN has the characteristics of that in two single-layer OSN. Compared with the intervention intensity, the regulator should give the priority to the timing of intervention and try to intervene in the early stage of public opinion propagation.Practical implicationsThis study may help the regulators to respond to the propagation of public opinion in OSN more actively and reasonably.Originality/valueThis research has a deep comprehension of the cross-network propagation rules of public opinion and manages the propagation of public opinion.

Personality, risk tolerance and social network use: an exploratory study

2016 ◽  
Vol 42 (6) ◽  
pp. 536-552 ◽  
Author(s):  
Shaista Wasiuzzaman ◽  
Siavash Edalat
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Financial Risk ◽  
Ordinary Least Squares ◽  
Risk Tolerance ◽  
Network Activity ◽  
Least Squares Regression ◽  
Content Type ◽  
Financial Risk Tolerance

Purpose – The vast amount of information available via online social networks (OSN) makes it a very good avenue for understanding human behavior. One of the human characteristics of interest to financial practitioners is an individual’s financial risk tolerance. The purpose of this paper is to look at the relationship between an individual’s OSN behavior and his/her financial risk tolerance. Design/methodology/approach – The study uses data collected from a sample of 220 university students and the backward variables selection ordinary least squares regression analysis technique to achieve its objective. Findings – The results of the study find that the frequency of logging on to social network sites indicates an individual who has higher financial risk tolerance. Additionally, the increasing use of social networks for social connection is found to be associated with lower financial risk tolerance. The results are mostly consistent when the sample is split based on prior financial knowledge. Originality/value – To the authors’ knowledge this is the first study which documents the possibility of understanding an individual’s financial risk tolerance via his/her social network activity. This provides investment/financial consultants with more avenues for gathering information in order to understand their current or potential clients hence providing better services.

scholarly journals Mujeres empresarias en el uso de la web 2.0: discursos de un preludio / Entrepreneur Women in the Use of Web 2.0: Speeches of a Prelude

2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Mª del Rosario Rodríguez Díaz ◽  
Mª José González Río ◽  
Mª Ángeles Rebollo Catalán
Keyword(s):  
Social Networks ◽  
Web 2.0 ◽  
Online Social Networks ◽  
Early Stage ◽  
Strategic Communication ◽  
Management Tool ◽  
Structured Interviews ◽  
Redes Sociales ◽  
Stage Of Development ◽  
On Line

ABSTRACTThis paper presents the main results of an investigation whose purpose is to investigate the adoption of on-line social networks in SMEs run by women. The base assumption is that the use of networks as a strategic communication element is still at an early stage of development, far from being an established practice. Our interest in this study is to determine the willingness and motivations of entrepreneurs in using these networks, as well as utilities and difficulties they have faced. Our goal is to visualize the change of attitude and competences that entrepreneurs are imprinting on their businesses within the competitive environment they operate in. Ultimately, we are interested in studying the perception of women-entrepreneurs regarding the adoption of online social networks to the extent where they are, as an additional management tool. We find ourselves facing a new field of knowledge on which there are very few references and very little research has been carried. Hence, this study has a primarily qualitative and exploratory purpose. To obtain the needed information we held semi-structured interviews to fourteen Andalusian entrepreneurs, coming from different business fields. The main findings were that just less than a half of them used them, or implemented them in their companies, as communication tools. The others, depending on to the size of their business, adopted them as an extension of the personal use in which they had been started.RESUMENEste trabajo presenta los principales resultados de una investigación cuya finalidad es conocer la adopción de las redes sociales on-line en las pymes dirigidas por mujeres. Se parte de la base de que el uso de redes, como elemento estratégico de comunicación, se encuentra todavía en una fase incipiente de desarrollo, lejos aún de ser una práctica consolidada. Nuestro interés en este trabajo es conocer la predisposición y motivaciones de las empresarias hacia el uso estas redes, así como las utilidades y dificultades a las que han de enfrentarse. Nos interesa visibilizar el cambio actitudinal y competencial que las empresarias están imprimiendo en sus empresas dentro del marco competitivo en el que se encuentran. En definitiva, nos interesa estudiar la percepción que tienen las empresarias sobre el uso de las redes sociales online en la medida en que están insertas, como una herramienta más de gestión empresarial. Nos situamos ante un nuevo ámbito de conocimiento sobre el que apenas existen referencias bibliográficas ni se ha realizado apenas investigación; de ahí que la investigación tenga una finalidad fundamentalmente exploratoria y de carácter cualitativo. Para la obtención de la información se realizaron catorce entrevistas semi-estructuradas entre empresarias andaluzas de distintos sectores de actividad. Entre los principales resultados encontramos que algo menos de la mitad de ellas las utilizan, o están implantadas en sus empresas, como herramientas de comunicación. El resto, y relacionado con el tamaño de sus negocios, las utilizan como una prolongación del uso personal en el que se iniciaron.

scholarly journals A Bio-Inspired Defensive Rumor Confinement Strategy in Online Social Networks

2021 ◽  
Vol 33 (1) ◽  
pp. 47-70
Author(s):  
Santhoshkumar Srinivasan ◽  
Dhinesh Babu L. D.
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Propagation Model ◽  
Information Propagation ◽  
Control Approach ◽  
Rumor Propagation ◽  
Immunization Strategies ◽  
New Information ◽  
The Individual ◽  
Rumor Control

Online social networks (OSNs) are used to connect people and propagate information around the globe. Along with information propagation, rumors also penetrate across the OSNs in a massive order. Controlling the rumor propagation is utmost important to reduce the damage it causes to society. Educating the individual participants of OSNs is one of the effective ways to control the rumor faster. To educate people in OSNs, this paper proposes a defensive rumor control approach that spreads anti-rumors by the inspiration from the immunization strategies of social insects. In this approach, a new information propagation model is defined to study the defensive nature of true information against rumors. Then, an anti-rumor propagation method with a set of influential spreaders is employed to defend against the rumor. The proposed approach is compared with the existing rumor containment approaches and the results indicate that the proposed approach works well in controlling the rumors.

The role of online social networks in university students’ environmentally responsible behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amirreza Rezaei ◽  
Saba Ahmadi ◽  
Hamid Karimi
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Environmental Attitudes ◽  
Environmental Issues ◽  
Control Group ◽  
Environmentally Responsible Behavior ◽  
Content Type ◽  
Responsible Behavior ◽  
Environmentally Responsible

Purpose This study aims to determine the effect of online social networks on university students’ environmentally responsible behavior (ERB). This research aimed to develop and test a behavioral model in the context of online social networks, where students’ attitudes, knowledge and behavior influence their ERB. Design/methodology/approach This study used a quasi-experiment with a pretest-posttest design and a random parallelization control group. The research used a questionnaire to assess ERB, environmental attitudes and environmental knowledge. The researcher randomly assigned 120 students to an experimental and a control group of equal size. Both groups initially completed a pretest. The experimental group was trained in environmental issues over four months (an academic semester) via an online social network. Findings The findings indicated that the social network had a significant effect on motivating ERB. Additionally, it improved environmental attitudes. According to the results, online social networks such as Facebook can significantly aid in teaching and learning environmental issues in formal academic settings. Originality/value Online social networks facilitated significant cognitive progress in environmental education. The primary objective is to educate students about ERB.

Modelling multi-topic information propagation in online social networks based on resource competition

2016 ◽  
Vol 43 (3) ◽  
pp. 342-355 ◽  
Author(s):  
Liyuan Sun ◽  
Yadong Zhou ◽  
Xiaohong Guan
Keyword(s):  
Social Networks ◽  
Network Structure ◽  
Online Social Networks ◽  
Resource Competition ◽  
Propagation Model ◽  
Small Scale ◽  
Model Parameters ◽  
Information Propagation ◽  
Practical Applications ◽  
The Impact

Understanding information propagation in online social networks is important in many practical applications and is of great interest to many researchers. The challenge with the existing propagation models lies in the requirement of complete network structure, topic-dependent model parameters and topic isolated spread assumption, etc. In this paper, we study the characteristics of multi-topic information propagation based on the data collected from Sina Weibo, one of the most popular microblogging services in China. We find that the daily total amount of user resources is finite and users’ attention transfers from one topic to another. This shows evidence on the competitions between multiple dynamical topics. According to these empirical observations, we develop a competition-based multi-topic information propagation model without social network structure. This model is built based on general mechanisms of resource competitions, i.e. attracting and distracting users’ attention, and considers the interactions of multiple topics. Simulation results show that the model can effectively produce topics with temporal popularity similar to the real data. The impact of model parameters is also analysed. It is found that topic arrival rate reflects the strength of competitions, and topic fitness is significant in modelling the small scale topic propagation.

scholarly journals Marketing and social networks: a criterion for detecting opinion leaders

2017 ◽  
Vol 26 (3) ◽  
pp. 347-366 ◽  
Author(s):  
Arnaldo Mario Litterio ◽  
Esteban Alberto Nantes ◽  
Juan Manuel Larrosa ◽  
Liliana Julia Gómez
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Semantic Analysis ◽  
Point Of View ◽  
Eigenvector Centrality ◽  
Content Type ◽  
Sporting Event ◽  
Centrality Metrics ◽  
Proposed Model

Purpose The purpose of this paper is to use the practical application of tools provided by social network theory for the detection of potential influencers from the point of view of marketing within online communities. It proposes a method to detect significant actors based on centrality metrics. Design/methodology/approach A matrix is proposed for the classification of the individuals that integrate a social network based on the combination of eigenvector centrality and betweenness centrality. The model is tested on a Facebook fan page for a sporting event. NodeXL is used to extract and analyze information. Semantic analysis and agent-based simulation are used to test the model. Findings The proposed model is effective in detecting actors with the potential to efficiently spread a message in relation to the rest of the community, which is achieved from their position within the network. Social network analysis (SNA) and the proposed model, in particular, are useful to detect subgroups of components with particular characteristics that are not evident from other analysis methods. Originality/value This paper approaches the application of SNA to online social communities from an empirical and experimental perspective. Its originality lies in combining information from two individual metrics to understand the phenomenon of influence. Online social networks are gaining relevance and the literature that exists in relation to this subject is still fragmented and incipient. This paper contributes to a better understanding of this phenomenon of networks and the development of better tools to manage it through the proposal of a novel method.

scholarly journals Modeling geo-homopholy in online social networks for population distribution projection

2017 ◽  
Vol 1 (3) ◽  
pp. 249-269 ◽  
Author(s):  
Yuanxing Zhang ◽  
Zhuqi Li ◽  
Kaigui Bian ◽  
Yichong Bai ◽  
Zhi Yang ◽  
...  
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Dirichlet Process ◽  
Prediction Models ◽  
Population Distribution ◽  
Data Availability ◽  
Floating Population ◽  
Trajectory Data ◽  
Content Type ◽  
Geographical Regions

Purpose Projecting the population distribution in geographical regions is important for many applications such as launching marketing campaigns or enhancing the public safety in certain densely populated areas. Conventional studies require the collection of people’s trajectory data through offline means, which is limited in terms of cost and data availability. The wide use of online social network (OSN) apps over smartphones has provided the opportunities of devising a lightweight approach of conducting the study using the online data of smartphone apps. This paper aims to reveal the relationship between the online social networks and the offline communities, as well as to project the population distribution by modeling geo-homophily in the online social networks. Design/methodology/approach In this paper, the authors propose the concept of geo-homophily in OSNs to determine how much the data of an OSN can help project the population distribution in a given division of geographical regions. Specifically, the authors establish a three-layered theoretic framework that first maps the online message diffusion among friends in the OSN to the offline population distribution over a given division of regions via a Dirichlet process and then projects the floating population across the regions. Findings By experiments over large-scale OSN data sets, the authors show that the proposed prediction models have a high prediction accuracy in characterizing the process of how the population distribution forms and how the floating population changes over time. Originality/value This paper tries to project population distribution by modeling geo-homophily in OSNs.

The effect of online social networks and competency-based management on innovation capability

2016 ◽  
Vol 20 (3) ◽  
pp. 499-511 ◽  
Author(s):  
Daniel Palacios-Marqués ◽  
Simona Popa ◽  
María Pilar Alguacil Mari
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Cognitive Processes ◽  
Online Social Networks ◽  
Online Social Network ◽  
Time Lags ◽  
Innovation Capability ◽  
Content Type ◽  
Competency Based ◽  
Telecommunications Industries

Purpose The purpose of this paper is to explore the effect of online social networks and competency-based management on innovation capability. Design/methodology/approach The paper is theory-confirming. Theoretical relationships were tested using an empirical study of 289 firms from the Spanish biotechnology and telecommunications industries. Findings Results confirm that online social network use for internal cognitive processes (e.g. reading, searching and storing information) and external cognitive processes (e.g. sharing and co-creating knowledge) positively affects knowledge transfer. This knowledge helps firms to achieve superior competency in R&D to succeed in innovation programs. Research Limitations/implications All survey respondents were from Spain, which may limit the generalizability of findings. A longitudinal approach was not used. However, doing so would make it possible to explore time lags between online social network use, competency-based management and innovation. Practical Implications This paper highlights the potential as well as the limitations of online social networks and competency-based management in promoting innovation capability. Businesses must consciously manage the assimilation and use of online social networks to benefit from them. Originality/value The study contributes to the literature by identifying effects on innovation capability at the meso-level (i.e. online social networks). Findings highlight the need for a shift in focus away from collaborating and interacting in online social networks (micro-level) and organizational contexts (macro-level) so as to improve innovation capability.

How do personality traits affect communication among users in online social networks?

2014 ◽  
Vol 38 (1) ◽  
pp. 136-153 ◽  
Author(s):  
Jose Maria Balmaceda ◽  
Silvia Schiaffino ◽  
Daniela Godoy
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Personality Traits ◽  
Online Social Networks ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Dimensions ◽  
Content Type ◽  
Wide Range ◽  
Similarity Attraction

Purpose – The purpose of this work is to analyse the relationships between the personality traits of linked users in online social networks. First the authors tried to discover relation patterns between personality dimensions in conversations. They also wanted to verify some hypotheses: whether users' personality is stable throughout different conversation threads and whether the similarity-attraction paradigm can be verified in this context. They used the five factor model of personality or Big Five, which has been widely studied in psychology. Design/methodology/approach – One of the approaches to detect users' personalities is by analysing the language they use when they talk to others. Based on this assumption the authors computed users' personality from the conversations extracted from the MySpace social network. Then the authors analysed the relationships among personality traits of users to discover patterns. Findings – The authors found that there are patterns between some personality dimensions in conversation threads, for example, agreeable people tend to communicate with extroverted people. They confirmed that the personality stability theory can be verified in social networks. Finally the authors could verify the similarity-attraction paradigm for some values of personality traits, such as extroversion, agreeableness, and openness to experience. Originality/value – The results the authors found provide some clues about how people communicate within online social networks, particularly who they tend to communicate with depending on their personality. The discovered patterns can be used in a wide range of applications, such as suggesting contacts in online social networks. Although some studies have been made regarding the role of personality in social media, no similar analysis has been done to evaluate how users communicate in social media considering their personality.

scholarly journals Modern Social Support Structures: Online Social Networks and their Implications for Social Workers

10.18060/198 ◽  
2009 ◽  
Vol 10 (2) ◽  
pp. 157-175 ◽  
Author(s):  
Kala Chakradhar ◽  
Victor Raj ◽  
Arabella Raj
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Workers ◽  
Online Social Networks ◽  
Intervention Strategy ◽  
Academic Disciplines ◽  
First Year ◽  
First Year Students ◽  
Web Based ◽  
Online Networks

Mapping and assessing social networks and the quality of their social support is a valuable intervention strategy for social workers. These networks have now spread onto the digital realm in the form of Online Social Networks (OSNs). This study investigated the nature of social support provided by such networks to their users in a rural mid-South University (USA) and explored parallels with the current understanding of social support in conventional social networks. A web-based survey administered to college students revealed that users of these online networks were predominantly undergraduate first year students, female, single, unemployed and from a variety of academic disciplines. The examination of the components of OSNs appears to mirror those of offline networks. They also seem to complement the effects of each other while contributing to an individual's support system. The paper concludes with critical implications of such online social networking for University students and social workers in practice and education.

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