scholarly journals Crowd-Sourcing Information Dissemination Based on Spatial Behavior and Social Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Yong Cheng
Keyword(s):  
Social Networks ◽  
Social Influence ◽  
Information Dissemination ◽  
Real Data ◽  
Physical World ◽  
Spatial Behavior ◽  
Communication Model ◽  
Information Communication ◽  
Crowd Sourcing ◽  
The Social

In the context of today’s network era, rich social networks and convenient network communication make different individuals and groups interact and transmit information in more diversified ways, which also bring new dissemination in information of crowd-sourcing tasks. The paper analyzes mobile behavior characteristics of users from different perspectives, such as spatial activity behavior and location type preference, and constructs a user space mobile behavior model based on the physical world. At the same time, it analyzes the social influence of users in social networks and mode of information transmission. In the paper, real data sets are adopted, mathematical modeling and computer simulation are combined to build an information communication model around the social influence of users in social networks, and the rules of information communication in new environment of social networks are depicted in combination with users’ spatial movement.

Predicting the social influence of upcoming contents in large social networks

2013 ◽  
Author(s):  
Yi Han ◽  
Lei Deng ◽  
Binying Xu ◽  
Lumin Zhang ◽  
Bin Zhou ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Influence ◽  
The Social

scholarly journals Inferring Ties in Social IoT Using Location-Based Networks and Identification of Hidden Suspicious Ties

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Nauman Ali Khan ◽  
Sihai Zhang ◽  
Wuyang Zhou ◽  
Ahmad Almogren ◽  
Ikram Ud Din ◽  
...  
Keyword(s):  
Social Networks ◽  
Internet Of Things ◽  
Social Ties ◽  
Social Activity ◽  
Geographical Location ◽  
Real Data ◽  
Time Frame ◽  
Data Sets ◽  
The Social ◽  
Time Frames

Stochastic Internet of Things (IoT)-based communication behavior of the progressing world is tremendously impacting social networks. The growth of social networks helps to quantify the effect on the Social Internet of Things (SIoT). Multiple existences of two persons at several geographical locations in different time frames hint to predict the social connection. We investigate the extent to which social ties between people can be inferred by critically reviewing the social networks. Our study used Chinese telecommunication-based anonymized caller data records (CDRs) and two openly available location-based social network data sets, Brightkite and Gowalla. Our research identified social ties based on mobile communication data and further exploits communication reasons based on geographical location. This paper presents an inference framework that predicts the missing ties as suspicious social connections using pipe and filter architecture-based inference framework. It highlights the secret relationship of users, which does not exist in real data. The proposed framework consists of two major parts. Firstly, users’ cooccurrence based on the mutual location in a specific time frame is computed and inferred as social ties. Results are investigated based upon the cooccurrence count, the gap time threshold values, and mutual friend count values. Secondly, the detail about direct connections is collected and cross-related to the inferred results using Precision and Recall evaluation measures. In the later part of the research, we examine the false-positive results methodically by studying the human cooccurrence patterns to identify hidden relationships using a social activity. The outcomes indicate that the proposed approach achieves comprehensive results that further support the theory of suspicious ties.

Mechanism analysis of competitive information asynchronous dissemination on social networks

2019 ◽  
Vol 30 (11) ◽  
pp. 1950094 ◽  
Author(s):  
Jianye Yu ◽  
Junjie Lv ◽  
Yuanzhuo Wang ◽  
Jingyuan Li
Keyword(s):  
Social Networks ◽  
Information Diffusion ◽  
Information Dissemination ◽  
Evolutionary Game ◽  
Real Data ◽  
Game Model ◽  
Mechanism Analysis ◽  
Sina Weibo ◽  
Human Behaviors ◽  
Information Spread

Information dissemination groups, especially those disseminating the same kind of information such as advertising, product promotion, etc., compete with each other when their information spread on social networks. Most of the existing methods analyze the dissemination mechanism mainly upon the information itself without considering human characteristics, e.g. relation networks, cooperation/defection, etc. In this paper, we introduce a framework of social evolutionary game (SEG) to investigate the influence of human behaviors in competitive information dissemination. Coordination game is applied to represent human behaviors in the competition of asynchronous information diffusion. We perform a series of simulations through a specific game model to analyze the mechanism and factors of information diffusion, and show that when the benefits of competitive information is around 1.2 times of the original one, it can compensate the loss of reputation caused by the change of strategy. Furthermore, through experiments on a dataset of two films on Sina Weibo, we described the mechanism of competition evolution over real data of social network, and validated the effectiveness of our model.

Why Are Modern Families Small? Toward an Evolutionary and Cultural Explanation for the Demographic Transition

2005 ◽  
Vol 9 (4) ◽  
pp. 360-375 ◽  
Author(s):  
Lesley Newson ◽  
Tom Postmes ◽  
S. E. G Lea ◽  
Paul Webley
Keyword(s):  
Social Networks ◽  
Social Norms ◽  
Social Influence ◽  
Social Control ◽  
Cultural Evolution ◽  
Reproductive Behavior ◽  
Demographic Transition ◽  
The Social ◽  
Large Families ◽  
Cultural Explanation

As societies modernize, they go through what has become known as “the demographic transition;” couples begin to limit the size of their families. Models to explain this change assume that reproductive behavior is either under individual control or under social control. The evidence that social influence plays a role in the control of reproduction is strong, but the models cannot adequately explain why the development of small family norms always accompanies modernization. We suggest that the widening of social networks, which has been found to occur with modernization, is sufficient to explain the change in reproductive norms if it is assumed that (a) advice and comment on reproduction that passes among kin is more likely to encourage the creation of families than that which passes among nonkin and (b) this advice and comment influence the social norms induced from the communications. This would, through a process of cultural evolution, lead to the development of norms that make it increasingly difficult to have large families.

scholarly journals Social Media and Reproductive Health - Communication Model of Adolescent Reproductive Health in Social Media

2017 ◽  
Vol 2 (4) ◽  
pp. 28
Author(s):  
Yanti Setianti ◽  
Susanne Dida ◽  
Lilis Puspitasari ◽  
Aat Ruchiat Nugraha
Keyword(s):  
Social Media ◽  
Reproductive Health ◽  
Information Dissemination ◽  
High Selectivity ◽  
Communication Model ◽  
The Public ◽  
Correct Information ◽  
The Social ◽  
Adolescent Reproductive Health ◽  
The Right

Communication via social media has created a positive output on information dissemination in every aspect of life, including health. One of the social media functions is to support development by empowering the public in taking care of their own health and welfare. It is essential to develop an effective communication model for disseminating information on adolescent reproductive health. The rapid growth in the number of health reproductive information portals in the social media, the circumstances are creating a high selectivity on the right and correct information needed for the adolescent based on the particular condition in each region. 

scholarly journals SOCIAL MEDIA AND KOSOVO’S POLITICAL ACTORS

2021 ◽  
Vol 32 (1) ◽  
pp. 193-196
Author(s):  
Ilire Zajmi
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Mass Communication ◽  
Information Dissemination ◽  
Prime Minister ◽  
Political Competition ◽  
Modern Society ◽  
Traditional Media ◽  
Political Actors ◽  
The Social

Social media are changing the nature of mass communication, demediating traditional media. They are being used as powerful platforms for the distribution and dissemination of information, activities, promotion of institutions, certain groups of interest of individuals, but also political actors for different purposes.Placing and disseminating information through the opportunities offered by social media enables the mobilization of a wider audience in new ways and ways. Politicians are exploiting these opportunities provided by social networks, without having to put information through journalists or traditional media. There are two theories in the literature regarding the use of social networks, optimistic and pessimistic theory. According to optimistic theory, social networks provide opportunities to compete for power. Theorists of this theory of using social media think that in the digital age, we are witnessing the transformation of information and the audience that uses them. According to them, the global success of social media has made it possible for everyone to connect directly to his audience through the platforms offered. With the use of these platforms, politicians gain attention and at the same time build a symmetrical or asymmetric relationship with their followers.Pessimistic theory, however, blames the social media for the use of false promise, and a pseudo-modernization of modern society. Studies believe that involvement in social networks and political actors at the same time implies a greater engagement of the audience that absorbs the information disclosed and affects the democratization of political competition. This paper aims to analyze the use of social networks as a means of information dissemination by Kosovar political actors and the content of the information being disclosed.The paper analyzes the posts of three key Kosovar politicians, Prime Minister Ramush Haradinaj, President Hashim Thaçi and Kosovo Assembly Speaker Kadri Veseli in their profiles on Facebook and Twitter social networks during a one-month monitoring period during May 2019

Finding influential users in social networks based on novel features & link-based analysis

2021 ◽  
Vol 40 (1) ◽  
pp. 1623-1637
Author(s):  
Shahid Iqbal ◽  
Hikmat Ullah Khan ◽  
Umar Ishfaq ◽  
Mohammed Alghobiri ◽  
Saqib Iqbal
Keyword(s):  
Social Networks ◽  
Social Interactions ◽  
Information Dissemination ◽  
Online Marketing ◽  
Social Web ◽  
Analysis Model ◽  
Social Community ◽  
Effective Manner ◽  
The Social ◽  
Influential Users

The social web appears to enrich human lives by providing effective applications for online social interactions. Microblogs are one of the most important applications of the social Web. The Microbloggers who influence the social community users through their content in the form of tweets are known as the influential microbloggers. The identification of such influential microbloggers has vast applications in advertising, online marketing, corporate communication, information dissemination, etc. This paper investigates the problem of identifying influential microbloggers by proposing MIPPLA (Model to identify Influential using Productivity, Popularity and Link Analysis) model which integrates the modules of Productivity and Popularity. The Productivity module considers a micro-blogger’s activity and the Popularity module identifies a microbloggers influence in an online social community. In addition, we modify the classic PageRank by utilizing the Twitter features such as retweet, mention, and reply for ranking the influential users. The proposed approaches are evaluated using real-world social networks. The results prove that the MIPPLA model efficiently identifies and ranks the top influential users in an effective manner as compared to the existing techniques.

scholarly journals WhatsApp Web for academic purposes in times of covid-19

Apertura ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 54-69
Author(s):  
Nataly Andrea Guiñez-Cabrera ◽  
◽  
Katherine Mansilla-Obando ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Influence ◽  
Qualitative Methodology ◽  
Unified Theory ◽  
Communication Tools ◽  
Use Of Technology ◽  
The Social ◽  
Facilitating Conditions ◽  
Educational Field

One of the most used communication tools is WhatsApp, which increased its use due to covid-19, along with other social networks. In the educational field, students are also increasingly adopting this application for academic purposes from their computers called WhatsApp Web. However, more knowledge is needed about the factors that influence the acceptance and use of this social network. Therefore, the purpose of this study is to understand from the perspective of students the factors of acceptance and use of WhatsApp Web for academic purposes during the covid-19 pandemic. A qualitative methodology was used to achieve this objective, through fourteen semistructural interviews with students from various disciplines and universities. The findings of this study were analyzed with the unified theory of acceptance and use of technology (UTAUT). Where a fifth factor teamworkwas incorporated, being additional to the factors already existing in this theory (the expectation of performance, the expectation of effort, the social influence and the facilitating conditions). This study provides new insights as it is a pioneering research that UTAUT uses to interpret the acceptance and use of WhatsApp Web for academic purposes.

scholarly journals Impact of sharing full versus averaged social information on social influence and estimation accuracy

2021 ◽  
Vol 18 (180) ◽  
pp. 20210231
Author(s):  
Bertrand Jayles ◽  
Clément Sire ◽  
Ralf H. J. M. Kurvers
Keyword(s):  
Social Networks ◽  
Social Influence ◽  
Recommender Systems ◽  
Social Information ◽  
Estimation Accuracy ◽  
Human Ability ◽  
The Social ◽  
Recent Developments ◽  
Available Information

The recent developments of social networks and recommender systems have dramatically increased the amount of social information shared in human communities, challenging the human ability to process it. As a result, sharing aggregated forms of social information is becoming increasingly popular. However, it is unknown whether sharing aggregated information improves people’s judgments more than sharing the full available information. Here, we compare the performance of groups in estimation tasks when social information is fully shared versus when it is first averaged and then shared. We find that improvements in estimation accuracy are comparable in both cases. However, our results reveal important differences in subjects’ behaviour: (i) subjects follow the social information more when receiving an average than when receiving all estimates, and this effect increases with the number of estimates underlying the average; (ii) subjects follow the social information more when it is higher than their personal estimate than when it is lower. This effect is stronger when receiving all estimates than when receiving an average. We introduce a model that sheds light on these effects, and confirms their importance for explaining improvements in estimation accuracy in all treatments.

scholarly journals MARKETING COMMUNICATION MODEL FOR SOCIAL NETWORKS

2018 ◽  
Vol 19 (3) ◽  
pp. 500-520
Author(s):  
Martin Klepek ◽  
Halina Starzyczná
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Resistance To Change ◽  
Online Advertising ◽  
Communication Model ◽  
Marketing Communication ◽  
Content Creation ◽  
The Social ◽  
Communication Needs

The advent of social media offers yet another set of communication channels which can brand add to integrated marketing communication strategies. Contrary to online advertising available on social media where traditional advertising logic provides an adequate explanation, the content creation and dialogue on social networks still lack sufficient understanding. Consequently, there are many companies which tend to misunderstand customers communication needs within the social media landscape. The obvious reason is the lack of knowledge combined with resistance to change. To bridge this gap, there is a need for empirical research which will clarify the current communication needs of customers. To explore this phenomenon, exploratory research employing questionnaire involving 481 respondents was evaluated with factor analysis method. Identification of three factors provided deeper insights into the understanding of attitudes and behaviour of the current internet population in the Czech Republic. Social network Facebook was chosen as the most widespread not only locally but also globally. Based on this research and previous research studies on communication, a new communication model is proposed in which the element of interaction is the most important. The proposed scheme bears some novel aspects. Firstly, the content in our model is not created outside as in previous models. A social network itself provides a platform for content creation. Secondly, we expanded the physical technical environment of the social network by the abstract brand community in which not only customers but the employees form a vital part. Lastly, the data plays an important role as a valuable tool for feedback and further analysis. Data flow from customer to company enables managers to execute true mass individualisation.

Sign in / Sign up

Export Citation Format

Share Document