scholarly journals Topic Lifecycle on Social Networks: Analyzing the Effects of Semantic Continuity and Social Communities

2018 ◽  
pp. 29-42 ◽  
Author(s):  
Kuntal Dey ◽  
Saroj Kaushik ◽  
Kritika Garg ◽  
Ritvik Shrivastava
Keyword(s):  
Social Networks ◽  
Social Communities

Management tools in modern distributed social communities

2021 ◽  
Vol 7 (Extra-C) ◽  
pp. 48-56
Author(s):  
Elena Eduardovna Alenina ◽  
Sergey Vladimirovich Bolotnikov ◽  
Lyubov Viktorovna Borodacheva ◽  
Viktoriya Leonidovna Grankina ◽  
Dmitri Vladimirovich Redin ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Groups ◽  
Online Resources ◽  
Problem Analysis ◽  
Economic Management ◽  
Management Tools ◽  
Social Communities ◽  
Network Media ◽  
Thematic Information ◽  
Management Capabilities

The article is devoted to the consideration and generalization of modern management capabilities and tools of distributed social communities formed based on online resources (social networks) to achieve the set socio-economic management goals. The authors conducted a problem analysis of the identified opportunities for managing specialized social thematic resources in the implementation of joint projects, the formation of social groups based on interests and hobbies, and the promotion of brands and products. The authors identify software tools for managing social network media resources. These tools allow collecting data on consumer interaction (b2c), monitoring thematic information, and attracting a new target audience.

Bridging Diversity across Time and Space

2011 ◽  
pp. 136-158
Author(s):  
Violina Ratcheva
Keyword(s):  
Social Networks ◽  
Social Context ◽  
Empirical Studies ◽  
Background Knowledge ◽  
Multidisciplinary Teams ◽  
Team Members ◽  
Social Communities ◽  
Knowledge Diversity ◽  
Geographic Separation ◽  
Multidisciplinary Teamwork

The uniqueness of multidisciplinary teamwork is in its potential to integrate different bodies of knowledge into a new synergy. However, previous empirical studies have shown that member heterogeneity and geographic separation hinder effective sharing and use of team knowledge. The chapter explores how such teams interact to overcome the barriers and take advantage of their “built in” knowledge diversity. The findings indicate that often teams lack common background knowledge at the beginning of the projects, and in order to resolve differences members rely on their external intellectual and social communities. The reported research establishes a positive correlation between team members’ participation in multiple professional and social networks and teams’ abilities to successfully build on their knowledge diversity. The findings also suggest a need to reconceptualize the boundaries of multidisciplinary teams and to consider the processes of sharing diverse knowledge in a wider social context.

scholarly journals GroupFound: An effective approach to detect suspicious accounts in online social networks

2017 ◽  
Vol 13 (7) ◽  
pp. 155014771772249 ◽  
Author(s):  
Bo Feng ◽  
Qiang Li ◽  
Xiaowen Pan ◽  
Jiahao Zhang ◽  
Dong Guo
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Social Relationship ◽  
False Positive Rate ◽  
High Detection Rate ◽  
Sina Weibo ◽  
Social Communities ◽  
Positive Rate ◽  
Local Graph ◽  
Relationship Of

Online social networks are an important part of people’s life and also become the platform where spammers use suspicious accounts to spread malicious URLs. In order to detect suspicious accounts in online social networks, researchers make a lot of efforts. Most existing works mainly utilize machine learning based on features. However, once the spammers disguise the key features, the detection method will soon fail. Besides, such methods are unable to cope with the variable and unknown features. The works based on graph mainly use the location and social relationship of spammers, and they need to build a huge social graph, which leads to much computing cost. Thus, it is necessary to propose a lightweight algorithm which is hard to be evaded. In this article, we propose a lightweight algorithm GroupFound, which focuses on the structure of the local graph. As the bi-followers come from different social communities, we divide all accounts into different groups and compute the average number of accounts for these groups. We evaluate GroupFound on Sina Weibo dataset and find an appropriate threshold to identify suspicious accounts. Experimental results have demonstrated that our algorithm can accomplish a high detection rate of [Formula: see text] at a low false positive rate of [Formula: see text].

scholarly journals Effects of deception in social networks

2014 ◽  
Vol 281 (1790) ◽  
pp. 20141195 ◽  
Author(s):  
Gerardo Iñiguez ◽  
Tzipe Govezensky ◽  
Robin Dunbar ◽  
Kimmo Kaski ◽  
Rafael A. Barrio
Keyword(s):  
Social Networks ◽  
Crucial Role ◽  
Emergent Properties ◽  
Group Level ◽  
Integrated Network ◽  
Agent Based ◽  
Social Communities ◽  
Set Constraints ◽  
Exchange Information ◽  
Social Coherence

Honesty plays a crucial role in any situation where organisms exchange information or resources. Dishonesty can thus be expected to have damaging effects on social coherence if agents cannot trust the information or goods they receive. However, a distinction is often drawn between prosocial lies (‘white’ lies) and antisocial lying (i.e. deception for personal gain), with the former being considered much less destructive than the latter. We use an agent-based model to show that antisocial lying causes social networks to become increasingly fragmented. Antisocial dishonesty thus places strong constraints on the size and cohesion of social communities, providing a major hurdle that organisms have to overcome (e.g. by evolving counter-deception strategies) in order to evolve large, socially cohesive communities. In contrast, white lies can prove to be beneficial in smoothing the flow of interactions and facilitating a larger, more integrated network. Our results demonstrate that these group-level effects can arise as emergent properties of interactions at the dyadic level. The balance between prosocial and antisocial lies may set constraints on the structure of social networks, and hence the shape of society as a whole.

scholarly journals Postmortem Analysis of Decayed Online Social Communities: Cascade Pattern Analysis and Prediction

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-17
Author(s):  
Mohammed Abufouda
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Statistical Analysis ◽  
Online Social Networks ◽  
Pattern Analysis ◽  
Decay Process ◽  
Social Communities ◽  
Network Measure ◽  
Significant Difference ◽  
Baseline Predictor

Recently, many online social networks, such as MySpace, Orkut, and Friendster, have faced inactivity decay of their members, which contributed to the collapse of these networks. The reasons, mechanics, and prevention mechanisms of such inactivity decay are not fully understood. In this work, we analyze decayed and alive subwebsites from the Stack Exchange platform. The analysis mainly focuses on the inactivity cascades that occur among the members of these communities. We provide measures to understand the decay process and statistical analysis to extract the patterns that accompany the inactivity decay. Additionally, we predict cascade size and cascade virality using machine learning. The results of this work include a statistically significant difference of the decay patterns between the decayed and the alive subwebsites. These patterns are mainly cascade size, cascade virality, cascade duration, and cascade similarity. Additionally, the contributed prediction framework showed satisfactorily prediction results compared to a baseline predictor. Supported by empirical evidence, the main findings of this work are (1) there are significantly different decay patterns in the alive and the decayed subwebsites of the Stack Exchange; (2) the cascade’s node degrees contribute more to the decay process than the cascade’s virality, which indicates that the expert members of the Stack Exchange subwebsites were mainly responsible for the activity or inactivity of the Stack Exchange subwebsites; (3) the Statistics subwebsite is going through decay dynamics that may lead to it becoming fully-decayed; (4) the decay process is not governed by only one network measure, it is better described using multiple measures; (5) decayed subwebsites were originally less resilient to inactivity decay, unlike the alive subwebsites; and (6) network’s structure in the early stages of its evolution dictates the activity/inactivity characteristics of the network.

scholarly journals Participation of young people in online social communities: an exploration of attitudes among university students in a case study in Spain

KOME ◽  
2021 ◽  
Vol Online first ◽  
Author(s):  
María Cruz López-de-Ayala ◽  
Ricardo Vizcaíno-Laorga
Keyword(s):  
Social Networks ◽  
Citizen Participation ◽  
Social Contact ◽  
Online Participation ◽  
Social Communities ◽  
Different Types ◽  
Different Dimensions ◽  
Points Of View ◽  
And Gender

This study aims to examine the different dimensions of online citizen participation for the purpose of delving into the types of engagement that are being developed in order for citizens to benefit from the opportunities offered by the Internet. A self-administered survey has been carried out with 420 students from a Spanish public University (Universidad Rey Juan Carlos) from its five campuses in Madrid. A typology of attitudes has been developed, firstly with factor analysis, and then with a varimax rotation. Moreover, a hierarchical linear regression has been applied in order to discover the variables that might predict the typology of participation. The study shows that online participation is a complex phenomenon influenced by multiple personal and social factors. The results have revealed three points of view: 1. Scepticism toward the ability to exert influence; 2. Social networks as a channel for maintaining social contact and expressing opinions; and 3. Capability of empowering users. Certain attitudes toward social networks can predict online participatory behaviour in different types of profiles on these networks. Furthermore, age does not affect online participation, and gender only has an influence on sports and media profiles.

SOCIAL NETWORKS AS A MECHANISM FOR INCLUDING RESIDENTS IN SOCIAL PARTICIPATION PRACTICES OF TERRITORY DEVELOPMENT

2021 ◽  
Vol 7 (4) ◽  
pp. 69-84
Author(s):  
Anna N. TARASOVA ◽  
Ekaterina A. KOSTROVA
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Participation ◽  
Cultural Development ◽  
Living Conditions ◽  
Social Connections ◽  
Territorial Development ◽  
Important Conclusion ◽  
Social Communities ◽  
Social Graphs

The article is devoted to the study of the role of social networks in development of a territory through the inclusion of individuals in social communities that influence the socio-economic, socio-cultural development of cities and regions. A social network in the present article refers to the structure of social relations and relationships between people, based on respect, common interests and mutual assistance. The study reveals some interconnections between indicators of a given social network (as structures of interaction between people) and living conditions (as characteristics of the level of territory development), and also shows through which social connections a person is most often included in social participation practices that contribute to development of a territory. In the study authors used the method of correlation analysis of the open database of the “Legatum Institute” analytical center. Another method consists of analysis of social graphs based on data from the social networking service “Vkontakte”. Weak-moderate but statistically significant associations are found between indicators of territorial development and indicators that determine quality of a social network (level of respect, harmony of interests and assistance to others). The study revealed a mechanism of multidirectional relationships between social networks and living conditions. Through this mechanism, territorial development can be ensured even in situations of crisis and economic instability. Analysis of social graphs showed that social networks differ while being linked to people who are socially active and socially passive in the number of social connections, in the number of social communities in which they are included, in the type of these communities. An important conclusion was made that university more often promotes inclusion in social participation practices precisely through development of new connections in a social network. While school systems contribute little to this. There is also a relatively low level of inclusion of youth in activities of territorial communities (POA, courtyard, housing, city communities, etc.), which requires a further detailed study.

Bridging Diversity across Time and Space

2008 ◽  
pp. 146-161
Author(s):  
Violina Ratcheva
Keyword(s):  
Social Networks ◽  
Social Context ◽  
Empirical Studies ◽  
Background Knowledge ◽  
Multidisciplinary Teams ◽  
Team Members ◽  
Social Communities ◽  
Knowledge Diversity ◽  
Geographic Separation ◽  
Multidisciplinary Teamwork

The uniqueness of multidisciplinary teamwork is in its potential to integrate different bodies of knowledge into a new synergy. However, previous empirical studies have shown that member heterogeneity and geographic separation hinder effective sharing and use of team knowledge. The chapter explores how such teams interact to overcome the barriers and take advantage of their “built in” knowledge diversity. The findings indicate that often teams lack common background knowledge at the beginning of the projects, and in order to resolve differences members rely on their external intellectual and social communities. The reported research establishes a positive correlation between team members’ participation in multiple professional and social networks and teams’ abilities to successfully build on their knowledge diversity. The findings also suggest a need to reconceptualize the boundaries of multidisciplinary teams and to consider the processes of sharing diverse knowledge in a wider social context.

scholarly journals Social Networks and the Building of Learning Communities: An Experimental Study of a Social MOOC

2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Mariana De Lima ◽  
Marta Elena Zorrilla
Keyword(s):  
Social Networks ◽  
Social Learning ◽  
Learning Communities ◽  
Learning Approach ◽  
Interaction Data ◽  
Social Communities ◽  
The Third ◽  
Learning Platform ◽  
Analysis Of Social Networks ◽  
Over Time

<p class="3">This study aimed to analyze the student’s behaviour in relation to their degree of commitment, participation, and contribution in a MOOC based on a social learning approach. Interaction data was collected on the learning platform and in social networks, both of which were used in the third edition of a social MOOC course. This data was then studied via statistical methods and analysis of social networks. This study assumes that social communities would arise around the course, would remain over time, and that participants would even contribute with new proposals. The findings indicated that social learning communities are built and continue only while the course is open and while the teachers are involved in fostering participation. Although this study is limited, the design criteria of the course, the pedagogical model on which this is supported, and the methods applied for this analysis provide other researchers and educators with clues for better understand the dynamic process of social learning in social MOOCs.</p>

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