New Evolutionary Adoption Model for Innovation Diffusion

2019 ◽  
Vol 12 (2) ◽  
pp. 115-133 ◽  
Author(s):  
Somia Chikouche ◽  
Salah Eddine Bouhouita-Guermech ◽  
Abderraouf Bouziane ◽  
Messaoud Mostefai
Keyword(s):  
Social Network ◽  
Innovation Diffusion ◽  
Historical Data ◽  
Original Model ◽  
Adoption Decision ◽  
The Social ◽  
Diffusion Pattern ◽  
Adoption Model ◽  
Insight Into ◽  
Take All

The study of innovation diffusion offers an insight into its adoption by a particular community, which has attracted the attention of many researchers. However, most of proposed models do not take all the fundamental elements for simulating the diffusion process into account. The main contribution of this article is proposing an original model founded on the evolutionary algorithm. The model simulates the adoption decision as a process of gradual acceptance and focuses on the representation of (1) the innovation features (2) the individuals' heterogeneity, (3) the social network (4) the communication influence. For this purpose, different simulation scenarios were carried out using a probabilistic foundation. The results validated the model's ability to determine the earlier adopters and therefore, demonstrated an explicit diffusion pattern without the need of historical data.

scholarly journals The switching mechanisms of social network densification

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Teruyoshi Kobayashi ◽  
Mathieu Génois
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Context ◽  
Social Interactions ◽  
Regime Switching ◽  
Face To Face ◽  
The Social ◽  
Switching Property ◽  
Distinctive Type ◽  
Insight Into

AbstractDensification and sparsification of social networks are attributed to two fundamental mechanisms: a change in the population in the system, and/or a change in the chances that people in the system are connected. In theory, each of these mechanisms generates a distinctive type of densification scaling, but in reality both types are generally mixed. Here, we develop a Bayesian statistical method to identify the extent to which each of these mechanisms is at play at a given point in time, taking the mixed densification scaling as input. We apply the method to networks of face-to-face interactions of individuals and reveal that the main mechanism that causes densification and sparsification occasionally switches, the frequency of which depending on the social context. The proposed method uncovers an inherent regime-switching property of network dynamics, which will provide a new insight into the mechanics behind evolving social interactions.

Communities ready for takeoff

2017 ◽  
Vol 36 (1) ◽  
pp. 14-26 ◽  
Author(s):  
Sanne A. M. Rijkhoff ◽  
Season A. Hoard ◽  
Michael J. Gaffney ◽  
Paul M. Smith
Keyword(s):  
Site Selection ◽  
Science Literature ◽  
Location Selection ◽  
Community Assets ◽  
Selection Decisions ◽  
The Social ◽  
Selection For ◽  
Insight Into ◽  
New Infrastructure ◽  
Take All

Although much of the social science literature supports the importance of community assets for success in many policy areas, these assets are often overlooked when selecting communities for new infrastructure facilities. Extensive collaboration is crucial for the success of environmental and economic projects, yet it often is not adequately addressed when making siting decisions for new projects. This article develops a social asset framework that includes social, creative, and human capital to inform site-selection decisions. This framework is applied to the Northwest Advanced Renewables Alliance project to assess community suitability for biofuel-related developments. This framework is the first to take all necessary community assets into account, providing insight into successful site selection beyond current models. The framework not only serves as a model for future biorefinery projects but also guides tasks that depend on informed location selection for success.

scholarly journals ICT as an instrument for social and emotional ageing. A qualitative study with older adults with cognitive impairments

2020 ◽  
Keyword(s):  
Older Adults ◽  
Social Network ◽  
Cognitive Impairments ◽  
Qualitative Interviews ◽  
Older Person ◽  
Emotional Wellbeing ◽  
Social And Emotional ◽  
Perception Of Control ◽  
The Social ◽  
Insight Into

Inspired by theories from the field of social and emotional aging, we studied the use of ICTs by older adults with cognitive impairments. By means of qualitative interviews (N=30) with older adults with cognitive impairments and their relatives, we got a detailed picture of the role of ICTs in their daily lives. First, our data showed that older adults with cognitive impairments used ICTs to enhance their social and emotional wellbeing. This involved social interaction, feelings of belongingness, and engagement in hobbies and regular daily activities. Second, our research provided insight into the strategies applied when ICT use became too difficult, with a considerable role for the social network. When the network offered help upon request or proactively encouraged the older person, this increased the perception of control. This also applied to the indirect use of ICTs, when someone from the social network operated the devices. Denying the older person the use of ICTs undermined the perception of control. The findings provide insight into how the potential of ICT can be exploited for this target group. We end the paper with practical recommendations.

Ieskats kaķu vārdu izvēles motivācijā

2021 ◽  
pp. 147-156
Author(s):  
Ilze Štrausa ◽  
Keyword(s):  
Social Network ◽  
Coat Colour ◽  
Significant Part ◽  
Economic Study ◽  
Single Action ◽  
Black And White ◽  
The Social ◽  
The Family ◽  
Insight Into

Onomasticians tend to focus not only on toponyms and anthroponyms, but also on zoonyms. This article gives an insight into cat names and the motivation for their choice. At the end of 2020, the author of this article made a questionnaire about cat names, posted this questionnaire on the social network Facebook, and received an unexpectedly large number of responses from people ‒ 19,592 questionnaires were submitted. The main focus of the questionnaire was placed on the motivation to choose cat names, as the motivations for choosing the same name can be very different, even completely opposed. The social and economic study of zoonyms enables us to identify the most important factors in choosing cat names, avoiding as many hypothetical or even erroneous conclusions as possible. A significant part of the analysed material consists of felynonyms motivated by the appearance of the cat: coat colour (Cukurs) (white), Kurmis (black), Oreo (black and white), Grejs (grey), Mango (red)), appearance in general or individual details (eyes (Poga), ears (Betmens), whiskers (Ūšuks), paws (Pepija), any special feature (Ķēpa) or defects (Bočelli)). The situation how the cat enters the family also plays an important role; where the cat is found (Dīzelis, Barons); who brings or finds the cat (Pičus); who it is bought from (Dekāns). The choice of felynonyms is also determined by other factors, such as the cat's behaviour and temper (Tors, Skrāpīte); accident or single action (Neptūns, Džampers); matching names (Dolārs and Mārciņa, Ansis and Grieta); the name of another real animal (Cimdiņš, Dadzis); cat breed or its name (Kilimandžāro, Boriss); originality (Deficīts, Punkasens); owner's profession, position, occupation (Karmena, Pikselis); interests, hobbies (Akords, Eminems); travel (Forints, Turcis); unfulfilled dreams and longing (Haskijs, Lote) or even several factors at once (Zaļģis, Notārs). People naming cats have chosen words that already exist in the language as names for their pets and have made various occasional words, showing the unlimited horizons of human imagination (Mimeļmops, Irokejs). The collected material is the first such extensive summary of cat names. It can also serve as a source of inspiration for everyone to choose a name for their new pet.

Self-identification as a “gamer” among college students: Influencing factors and perceived characteristics

2019 ◽  
Vol 21 (11-12) ◽  
pp. 2607-2627 ◽  
Author(s):  
Jeffrey A Stone
Keyword(s):  
College Students ◽  
Content Analysis ◽  
Social Network ◽  
Influencing Factors ◽  
College Age ◽  
Factors Influencing ◽  
The Social ◽  
Insight Into

Much of the research involving perceived characteristics of so-called “gamers” has been directed at deconstructing traditional stereotypes associated with the term. As gaming has become mainstream, research has investigated the changing nature of the term “gamer” as well as the factors which influence the perceptions of gamers. This study extends the literature by examining modern perceptions of “gamer” among a set of college-age adults. The study explores factors which impact self-identification as a “gamer” and uses content analysis to explore perceived characteristics of gamers. The results confirm that previously found factors influencing self-identification (frequency of play, gaming in the social network) still correlate with the “gamer” identity. The results also show that while traditional stereotypes still persist, the perceived meaning of the term “gamer” may be evolving. These results provide a foundation for future examinations of the gamer identity and provide insight into the evolution of the traditional gamer stereotype.

scholarly journals How Learners Participate in Connectivist Learning: An Analysis of the Interaction Traces From a cMOOC

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Zhijun Wang ◽  
Terry Anderson ◽  
Li Chen
Keyword(s):  
Content Analysis ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
The Social ◽  
Data Output ◽  
Participation Inequality ◽  
Interaction Traces ◽  
Insight Into ◽  
Interpretative Research

<p class="3">In this research paper, the authors analyse the collected data output during a 36 week cMOOC. Six-week data streams from blogs, Twitter, a Facebook group, and video conferences were tracked from the daily newsletter and the MOOCs’ hashtag (#Change 11). This data was analysed using content analysis and social network analysis within an interpretative research paradigm. The content analysis was used to examine the technology learners used to support their learning while the social network analysis focused on the participant in different spaces and their participation patterns in connectivist learning.</p><p class="3">The findings from this research include: 1) A variety of technologies were used by learners to support their learning in this course; 2) Four types of participation patterns were reveled, including unconnected floaters, connected lurkers, connected participants, and active contributors. The participation of learners displays the participation inequality typical of social media, but the ratio of active contributors is much higher than xMOOCs; 3) There were five basic structures of social networks formed in the learning; and 4) The interaction around topics and topic generation supports the idea of learning as network creation after the analysis of participation patterns that are based on some deep interactive topic. The aim of this study is to gain insight into the behaviors of learners in a cMOOC in an open and distributed online environment, so that future MOOCs designers and facilitators can understand, design and facilitate more effective MOOCs for learners.</p>

Geometries of power: from Palmanova to the American grid

Moreana ◽  
2006 ◽  
Vol 43 (Number 166- (2-3) ◽  
pp. 151-171
Author(s):  
László Munteán
Keyword(s):  
Social Network ◽  
New England ◽  
Urban Form ◽  
Power Relations ◽  
City Planning ◽  
Geometric Patterns ◽  
The Social ◽  
Insight Into ◽  
Grid Based

The circle and the square are archetypal forms of city layouts. The various patterns and combinations of these forms also reflect on inherent power relations within the social network. I start this paper with the exploration of a peculiar example of the circular layout, the fortified city of Palmanova which, in many ways, epitomizes Renaissance conceptions of ideal city planning. With the help of Michel Foucault’s Panopticon-theory, as well as Kevin Lynch’s principles on legible urban form. I trace implications of the geometric patterns of Palmanova and compare the “perfection” of its forms to plans of “ideal cities” in America. From the Puritan settlements of New England that combine circular and grid based structures I move on to explore manifestations of the Roman and the Greek-inspired grids and attempt to apply Foucault’s formulae of surveillance so as to gain insight into the power-mechanisms involved in the various layouts.

Modelling information diffusion based on non-dominated friends in social networks

2016 ◽  
Vol 43 (6) ◽  
pp. 801-815 ◽  
Author(s):  
Niloofar Mozafari ◽  
Ali Hamzeh ◽  
Sattar Hashemi
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Diffusion Model ◽  
Information Diffusion ◽  
Information Dissemination ◽  
Single Factor ◽  
Proposed Model ◽  
The Social ◽  
Diffusion Pattern ◽  
Information Diffusion Model

In recent years, social networks have played a strong role in diffusing information among people all around the globe. Therefore, the ability to analyse the diffusion pattern is essential. A diffusion model can identify the information dissemination pattern in a social network. One of the most important components of a diffusion model is information perception which determines the source each node receives its information from. Previous studies have assumed information perception to be just based on a single factor, that is, each individual receives information from their friend with the highest amount of information, whereas in reality, there exist other factors, such as trust, that affect the decision of people for selecting the friend who would supply information. These factors might be in conflict with each other, and modelling diffusion process with respect to a single factor can give rise to unacceptable results with respect to the other factors. In this article, we propose a novel information diffusion model based on non-dominated friends (IDNDF). Non-dominated friends are a set of friends of a node for whom there is no friend better than them in the set based on all considered factors, considering different factors simultaneously significantly enhance the proposed information diffusion model. Moreover, our model gives a chance to all non-dominated friends to be selected. Also, IDNDF allows having partial knowledge by each node of the social network. Finally, IDNDF is applicable to different types of data, including well-known real social networks like Epinions, WikiPedia, Advogato and so on. Extensive experiments are performed to assess the performance of the proposed model. The results show the efficiency of the IDNDF in diffusion of information in varieties of social networks.

scholarly journals EMH: Extended Mixing H-index centrality for identification important users in social networks based on neighborhood diversity

2020 ◽  
Vol 34 (26) ◽  
pp. 2050284
Author(s):  
Pengli Lu ◽  
Chen Dong
Keyword(s):  
Social Network ◽  
Topological Structure ◽  
Sir Model ◽  
Rapid Expansion ◽  
Principal Element ◽  
H Index ◽  
Neighborhood Diversity ◽  
The Social ◽  
Short Time ◽  
Take All

The rapid expansion of social network provides a suitable platform for users to deliver messages. Through the social network, we can harvest resources and share messages in a very short time. The developing of social network has brought us tremendous conveniences. However, nodes that make up the network have different spreading capability, which are constrained by many factors, and the topological structure of network is the principal element. In order to calculate the importance of nodes in network more accurately, this paper defines the improved H-index (IH) centrality according to the diversity of neighboring nodes, then uses the cumulative centrality (MC) to take all neighboring nodes into consideration, and proposes the extended mixing H-index (EMH) centrality. We evaluate the proposed method by Susceptible–Infected–Recovered (SIR) model and monotonicity which are used to assess accuracy and resolution of the method, respectively. Experimental results indicate that the proposed method is superior to the existing measures of identifying nodes in different networks.

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