scholarly journals Information Propagation in Online Social Network Based on Human Dynamics

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Qiang Yan ◽  
Lianren Wu ◽  
Chao Liu ◽  
Xiye Li

We investigate the impact of human dynamics on the information propagation in online social networks. First, statistical properties of the human behavior are studied using the data from “Sina Microblog,” which is one of the most popular online social networks in China. We find that human activity patterns are heterogeneous and bursty and are often described by a power-law interevent time distributionP(τ)~τ−α. Second, we proposed an extended Susceptible-Infected (SI) propagation model to incorporate bursty and limited attention. We unveil how bursty human behavior and limited attention affect the information propagation in online social networks. The result in this paper can be useful for optimizing or controlling information propagation in online social networks.

2016 ◽  
Vol 43 (3) ◽  
pp. 342-355 ◽  
Author(s):  
Liyuan Sun ◽  
Yadong Zhou ◽  
Xiaohong Guan

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.


Author(s):  
Shao Chun Han ◽  
Yun Liu ◽  
Hui Ling Chen ◽  
Zhen Jiang Zhang

Quantitative analysis on human behavior, especially mining and modeling temporal and spatial regularities, is a common focus of statistical physics and complexity sciences. The in-depth understanding of human behavior helps in explaining many complex socioeconomic phenomena, and in finding applications in public opinion monitoring, disease control, transportation system design, calling center services, information recommendation. In this paper,we study the impact of human activity patterns on information diffusion. Using SIR propagation model and empirical data, conduct quantitative research on the impact of user behavior on information dissemination. It is found that when the exponent is small, user behavioral characteristics have features of many new dissemination nodes, fast information dissemination, but information continued propagation time is short, with limited influence; when the exponent is big, there are fewer new dissemination nodes, but will expand the scope of information dissemination and extend information dissemination duration; it is also found that for group behaviors, the power-law characteristic a greater impact on the speed of information dissemination than individual behaviors. This study provides a reference to better understand influence of social networking user behavior characteristics on information dissemination and kinetic effect.


2021 ◽  
Vol 33 (1) ◽  
pp. 47-70
Author(s):  
Santhoshkumar Srinivasan ◽  
Dhinesh Babu L. D.

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.


2020 ◽  
Vol 12 (7) ◽  
pp. 3064 ◽  
Author(s):  
Tai Huynh ◽  
Hien Nguyen ◽  
Ivan Zelinka ◽  
Dac Dinh ◽  
Xuan Hau Pham

Influencer marketing is a modern method that uses influential users to approach goal customers easily and quickly. An online social network is a useful platform to detect the most effective influencer for a brand. Thus, we have an issue: how can we extract user data to determine an influencer? In this paper, a model for representing a social network based on users, tags, and the relationships among them, called the SNet model, is presented. A graph-based approach for computing the impact of users and the speed of information propagation, and measuring the favorite brand of a user and sharing the similar brand characteristics, called a passion point, is proposed. Therefore, we consider two main influential measures, including the extent of the influence on other people by the relationships between users and the concern to user’s tags, and the tag propagation through social pulse on the social network. Based on these, the problem of determining the influencer of a specific brand on a social network is solved. The results of this method are used to run the influencer marketing strategy in practice and have obtained positive results.


Crisis ◽  
2011 ◽  
Vol 32 (5) ◽  
pp. 280-282 ◽  
Author(s):  
Thomas D. Ruder ◽  
Gary M. Hatch ◽  
Garyfalia Ampanozi ◽  
Michael J. Thali ◽  
Nadja Fischer

Background: The media and the Internet may be having an influence on suicidal behavior. Online social networks such as Facebook represent a new facet of global information transfer. The impact of these online social networks on suicidal behavior has not yet been evaluated. Aims: To discuss potential effects of suicide notes on Facebook on suicide prevention and copycat suicides, and to create awareness among health care professionals. Methods: We present a case involving a suicide note on Facebook and discuss potential consequences of this phenomenon based on literature found searching PubMed and Google. Results: There are numerous reports of suicide notes on Facebook in the popular press, but none in the professional literature. Online social network users attempted to prevent planned suicides in several reported cases. To date there is no documented evidence of a copycat suicide, directly emulating a suicide announced on Facebook. Conclusions: Suicide notes on online social networks may allow for suicide prevention via the immediate intervention of other network users. But it is not yet clear to what extent suicide notes on online social networks actually induce copycat suicides. These effects deserve future evaluation and research.


2021 ◽  
Vol 3 (1) ◽  
pp. 44
Author(s):  
Alan Daly

Educational leaders across the globe are facing a growing set of challenges that include concerns around academic performance, but go well beyond to include the pandemic, equity, climate, and poverty. This is a defining time for leaders to attend to the needs of students in the face of ongoing and developing challenges. Better understanding how educational leaders engage with one another in developing community and accessing timely and context connected information is an important line of investigation during these challenging times. One of most widely used and simplest strategies is engaging communities through communication and collaboration in online spaces which involves accessing just in time information (e.g., news, ideas, approaches) and the exchange of information, knowledge, and strategies. Social media platforms provide multiple opportunities for these exchanges and yet we know very little about how educational leaders are engaging with these platforms.   The rise of social media has led to a panoply of online communication spaces or sites, such as Facebook, LinkedIn, and Twitter, wherein individuals can engage into the informal learning with others. Furthermore, a growing number of studies have shown that educational professionals use social media, such as Twitter, to access and share information that helps them and others to face their everyday challenges. Being embedded in their immediate (work) environments, media constitute social opportunity spaces enabling individuals to engage discussions with a wide variety of others and stimulate a process of critical reflection. Consequently, educational leaders can benefit from participating in social media to help them (and their colleagues) in their efforts to engage in high quality practice. However, traditional views of leader activity have constrained work in the space.   Leadership is one of the most examined concepts in the education literature, and while the study of online social networks is also gaining interest, the intersection between leadership and online social networks has received limited attention. The key notion underlying most traditional leadership research is that the behaviors or attributes of a leader, typically a person in a formal position, matter for a variety of outcomes. While offering valuable insights, this dominant view of leadership behavior and attributes underestimates the impact of (informal) social networks particularly those in online spaces.   Scholars are increasingly recognizing the importance of social processes involved in leading. Leadership in its broadest sense has often been conceptualized as a process of influence toward an outcome. Social relationships through networks may provide leaders with the necessary infrastructure to access resources in achieving outcomes. A social network perspective brings to the fore the dependencies of actors within a social system. This perspective shifts the focus away from individual attributes toward an examination of the ties between individuals, thereby placing leadership directly in the role of a social undertaking. Leadership from a network perspective emphasizes the interdependence of action that are reflected by a network of ties, which may ultimately moderate, influence, or determine the activity and movement of resources such as practices and knowledge. 


2019 ◽  
Vol 121 (14) ◽  
pp. 1-20
Author(s):  
Alan J. Daly ◽  
Yi-Hwa Liou ◽  
Miguel Del Fresno ◽  
Martin Rehm ◽  
Peter Bjorklund

Leadership is one of the most examined concepts in the literature, and while the study of social networks is also gaining interest, the intersection between leadership and online social networks has received limited attention. The key notion underlying most leadership research is that the behaviors or attributes of a leader matter for a variety of outcomes. While offering valuable insights, this dominant view of leadership behavior and attributes underestimates the impact of social networks. Scholars are increasingly recognizing the importance of social processes involved in leading. Leadership has often been conceptualized as a process of influence toward an outcome. Social relationships through networks may provide leaders with the necessary infrastructure to access resources in achieving outcomes. Leadership from a network perspective emphasizes the interdependence reflected by a network of ties, which may ultimately moderate, influence, or determine the activity and movement of practices and knowledge.


2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Sunyoung Park ◽  
Lasse Gerrits

AbstractAlthough migration has long been an imperative topic in social sciences, there are still needs of study on migrants’ unique and dynamic transnational identity, which heavily influences the social integration in the host society. In Online Social Network (OSN), where the contemporary migrants actively communicate and share their stories the most, different challenges against migrants’ belonging and identity and how they cope or reconcile may evidently exist. This paper aims to scrutinise how migrants are manifesting their belonging and identity via different technological types of online social networks, to understand the relations between online social networks and migrants’ multi-faceted transnational identity. The research introduces a comparative case study on an online social movement led by Koreans in Germany via their online communities, triggered by a German TV advertisement considered as stereotyping East Asians given by white supremacy’s point of view. Starting with virtual ethnography on three OSNs representing each of internet generations (Web 1.0 ~ Web 3.0), two-step Qualitative Data Analysis is carried out to examine how Korean migrants manifest their belonging and identity via their views on “who we are” and “who are others”. The analysis reveals how Korean migrants’ transnational identities differ by their expectation on the audience and the members in each online social network, which indicates that the distinctive features of the online platform may encourage or discourage them in shaping transnational identity as a group identity. The paper concludes with the two main emphases: first, current OSNs comprising different generational technologies play a significant role in understanding the migrants’ dynamic social values, and particularly, transnational identities. Second, the dynamics of migrants’ transnational identity engages diverse social and situational contexts. (keywords: transnational identity, migrants’ online social networks, stereotyping migrants, technological evolution of online social network).


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