scholarly journals An Optimized Player Taxonomy Model for Mobile MMORPGs with Millions of Users

2011 ◽  
Vol 2011 ◽  
pp. 1-9
Author(s):  
Fang You ◽  
Jianping Liu ◽  
Xinjian Guan ◽  
Jianmin Wang ◽  
Zibin Zheng ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Business Strategy ◽  
Game Design ◽  
Role Playing ◽  
Survey Method ◽  
Role Playing Games ◽  
Related Information ◽  
The Social ◽  
Different Types

Massively multiplayer online role-playing games (MMORPGs) have great potential as sites for research within the social and human-computer interaction. In the MMORPGs, a stability player taxonomy model is very important for game design. It helps to balance different types of players and improve business strategy of the game. The players in mobile MMORPGs are also connected with social networks; many studies only use the player's own attributes statistics or questionnaire survey method to predict player taxonomy, so lots of social network relations' information will be lost. In this paper, by analyzing the impacts of player's social network, commercial operating data from mobile MMORPGs is used to establish our player taxonomy model (SN model). From the model results, social network-related information in mobile MMORPGs will be considered as important factors to pose this optimized player taxonomy model. As experimental results showed, compared with another player taxonomy model (RA model), our proposed player taxonomy model can achieve good results: classification is more stable.

Influential Nodes in Social Networks

2020 ◽  
pp. 371-385
Author(s):  
Kousik Das ◽  
Rupkumar Mahapatra ◽  
Sovan Samanta ◽  
Anita Pal
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Structure ◽  
The Social ◽  
Different Types ◽  
Influential Nodes

Social network is the perfect place for connecting people. The social network is a social structure formed by a set of nodes (persons, organizations, etc.) and a set of links (connection between nodes). People feel very comfortable to share news and information through a social network. This chapter measures the influential persons in different types of online and offline social networks.

Interest-oriented versus relationship-oriented social network sites in China

First Monday ◽  
2010 ◽  
Author(s):  
Weiyu Zhang ◽  
Rong Wang
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Structural Analysis ◽  
Collective Action ◽  
Social Ties ◽  
Social Network Sites ◽  
Design Features ◽  
The Social ◽  
Different Types ◽  
Common Interests

This paper examines interest-oriented vs. relationship-oriented social network sites in China and their different implications for collective action. By utilizing a structural analysis of the design features and a survey of members of the social networks, this paper shows that the way a social network site is designed strongly suggests the formation and maintenance of different types of social ties. The social networks formed among strangers who share common interests imply different types of collective action, compared to the social networks that aim at the replication and strengthening of off-line relationships.

Situation analysis of relationship in social networks based on link entropy

2015 ◽  
Vol 29 (13) ◽  
pp. 1550061 ◽  
Author(s):  
Ke Li ◽  
Hui-Jia Li ◽  
Hao Wang
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Analysis Model ◽  
Situation Analysis ◽  
The Social ◽  
Theoretical View ◽  
Different Types ◽  
The Relationship ◽  
Pair Analysis ◽  
Network Relationship

Since the existence of certain and uncertain characteristics of the relationships between nodes in social network, the study of social features is expanded by combining the set pair analysis and social computing. In this paper, a new method is created to describe nodes relationship situation in social network, i.e. set pair relationship situation, including generalized set pair relationship situation, generalized set pair close situation and generalized set pair loosen situation. In order to analyze the situation in social network, each kind of set pair relation situation are classified. Combining with the complexity of the social network system and the features of connection entropy, generalized connection entropy which used to express the complexity of social networks is proposed. It includes the generalized same entropy, the generalized difference entropy, and the generalized opposite entropy. These different types of entropies can be used to analyze the social network relationship stability from a more theoretical view. Then a situation analysis model and the corresponding algorithm is proposed. Finally the effectiveness of this method in analyzing the relationships in social networks is proved. Thus, our model can be used to reveal the relationship between social network and node state stability efficiently.

scholarly journals Social Bots As an Instrument of Influence in Social Networks: Typologization Problems

2021 ◽  
Author(s):  
V.V. Vasilkova ◽  
N.I. Legostaeva
Keyword(s):  
Social Networks ◽  
Content Analysis ◽  
Social Network ◽  
Human Behavior ◽  
Online Social Network ◽  
Research Trend ◽  
Political News ◽  
The Social ◽  
Different Types ◽  
New Research

Nowadays, in the field of social bots investigations, we can observe a new research trend — a shift from a technology-centered to sociology-centered interpretations. It leads to the creation of new perspectives for sociology: now the phenomenon of social bots is not only considered as one of the efficient manipulative technologies but has a wider meaning: new communicative technologies have an informational impact on the social networks space. The objective of this research is to assess the new approaches of the established social bots typologies (based on the fields of their usage, objectives, degree of human behavior imitation), and also consider the ambiguity and controversy of the use of such typologies using the example of botnets operating in the VKontakte social network. A method of botnet identification is based on comprehensive methodology developed by the authors which includes the frequency analysis of published messages, botnet profiling, statistical analysis of content, analysis of botnet structural organization, division of content into semantic units, forming content clusters, content analysis inside the clusters, identification of extremes — maximum number of unique texts published by botnets in a particular cluster for a certain period. The methodology was applied for the botnet space investigation of Russian online social network VKontakte in February and October 2018. The survey has fixed that among 10 of the most active performing botnets, three botnets were identified that demonstrate the ambiguity and controversy of their typologization according to the following criteria: botnet “Defrauded shareholders of LenSpetsStroy” — according to the field of their usage, botnet “Political news in Russian and Ukrainian languages” — according to their objectives, botnet “Ksenia Sobchak” — according to the level of human behavior imitation. The authors identified the prospects for sociological analysis of different types of bots in a situation of growing accessibility and routinization of bot technologies used in social networks. Keywords: social bots, botnets, classification, VKontakte social network

أثر استخدام مواقع الشبكات الاجتماعية على زيادة المعرفة العلمية لدى طلبة الثانوية العامة

2014 ◽  
Vol 1 (1) ◽  
pp. 60-85
Keyword(s):  
High School ◽  
Social Networks ◽  
High School Students ◽  
Social Network ◽  
Survey Method ◽  
Negative Effects ◽  
School Students ◽  
The Third ◽  
The Social ◽  
Second Category

ملخص : تهدف الدراسة إلى توضيح مدى استخدام طلبة الثانوية مواقع الشبكات الاجتماعية للأغراض التعليمية، والكشف عن مستوى النشاط والمشاركة لمواقع الشبكات الاجتماعية التي يستخدمها طلبة الثانوية، ومعرفة مدى وعي وإدراك الطلبة لاستخدام الشبكات الاجتماعية في خدمة العملية التعليمية، والتعرف على الآثار الايجابية والسلبية لاستخدام الطلبة للشبكات الاجتماعية، وتقديم مقترحات وطرق للاستفادة، واستثمار الشبكات الاجتماعية وتوظيفها لخدمة الطلبة. وتنتمي هذه الدراسة إلى البحوث الوصفية، واستخدمت منهج المسح، والاستبيان أداة لجمع البيانات على عينة من طلبة الثانوية بمحافظات غزة بلغت 168 مفردة، ومن أهم نتائج الدراسة : أن نسبة المبحوثين المستخدمين للشبكات الاجتماعية بلغت 86%، كما بلغت نسبة من لا يستخدمونها بنسبة 14%، وأن (الفيسبوك) من أكثر الشبكات الاجتماعية استخداماً من قبل المبحوثين إذ جاءت في المرتبة الأولى، وأن المبحوثين يتابعون بكثافة ويفضلون مواد التسلية والترفيه، وأن المحادثة الكتابية عن طريق الدردشة والتعليقات من أكثر أساليب وأدوات الاتصال التي يستخدمها المبحوثون في التواصل مع الآخرين عبر الشبكات الاجتماعية، وأن المبحوثين الذين يراسلون الأصدقاء خلال محادثاتهم في مواقع الشبكات الاجتماعية أكثر من غيرها من الفئات إذ بلغت نسبتهم 37%، يليها الدردشة مع زملاء بنسبة 24%، ثم أفراد الأسرة بنسبة 18%، ثم مع أشخاص جدد بنسبة 13%، وأخيراً مع مدرسيهم بنسبة 9%، وأن أهم الخدمات والخبرات التي تقدمها الشبكات الاجتماعية للمبحوثين جاءت في المرتبة الأولى سهولة في تبادل الأفكار والاتجاهات والآراء.الكلمــــات المفتاحيــــــــة : طلبة الثانوية، الشبكات الاجتماعية، المعرفة العلمية. Abstract This study aimed at investigating the level of high school students’ use of social networks for educational purposes. It also intended to study the level of student activity and participation while using these sites, reveal the students’ level of awareness of utilizing these networks for education, clarifying the positive and the negative effects of students’ use of social networks, and introduce implications regarding investing the social networks to serve students. This study is primarily qualitative in nature. The survey method and questionnaire were used to collect data from a sample of (168) participants from high school students in various areas in Gaza.The study concluded that 86% of respondents use social networks whereas 14% of the respondents do not use them; Facebook is the most used social network by the respondents as it ranked first. Also the respondents intensively follow social networks and that they prefer entertainment materials. The online messaging via chats and comments were recealed to be the most used media by the respondents to communicate with others via social networks. The respondents who mainly contacted their friends during their chats via the networks represented the largest categories in the sample with a percentage of 37%. The second category was those who chatted with their colleagues with a percentage of 24%; the third category was those had chats with their family members with a percentage of 18%, ; the fourth constituted the category which chatted with new people takes13%. Finally chatting with teachers ranked last with a percentage of 9% which takes. The most important services and expertise provided by the social networks for the respondents is exchanging ideas, trends and opinions. Keywords: High School Students، Social Network Site، Scientific Knowledge

Prospects for the use of modern technologies to increase student involvement

2020 ◽  
Vol 1 (1) ◽  
pp. 28-33
Author(s):  
Iu. V. Amelina ◽  
R. V. Amelin
Keyword(s):  
Social Networks ◽  
Information Technologies ◽  
Role Playing ◽  
Educational Process ◽  
State University ◽  
Role Playing Games ◽  
It Education ◽  
Interaction Plot ◽  
Role Playing Game ◽  
Live Action

The article discusses the prospects of role-playing games in the educational process to increase students’ motivation and involvement, as well as the possibility of modern information technologies (primarily social networks) for constructing innovative forms of such games. The author’s format of the live-action role-playing game is presented. It was developed and tested at the Saratov State University. It involves the integration of numerous educational tasks into a single plot, within which each participant plays a role and communicates with other participants to complete tasks. The main interaction, plot development and group activities occur in dialogs, conversations and groups of social networks. This approach has shown its viability in teaching legal disciplines, and also has prospects for use in IT education.

Emotive Trending And Tracking of Tweets

2017 ◽  
Vol 7 (11) ◽  
pp. 25
Author(s):  
Sanjay Chhataru Gupta
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
The Social ◽  
The World ◽  
Complex Events

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.

The Oxford Handbook of Social Networks

2020 ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Life ◽  
Information Science ◽  
Computational Social Science ◽  
The Social ◽  
Diverse Field ◽  
The Rich

Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.

Comparing the social networks of service users with long term mental health needs living in community with those in a general adult in-patient unit

2021 ◽  
pp. 002076402110175
Author(s):  
Roberto Rusca ◽  
Ike-Foster Onwuchekwa ◽  
Catherine Kinane ◽  
Douglas MacInnes
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Social Network ◽  
Patient Group ◽  
Mental Health Problems ◽  
Well Being ◽  
Health Problems ◽  
Practical Support ◽  
The Social

Background: Relationships are vital to recovery however, there is uncertainty whether users have different types of social networks in different mental health settings and how these networks may impact on users’ wellbeing. Aims: To compare the social networks of people with long-term mental illness in the community with those of people in a general adult in-patient unit. Method: A sample of general adult in-patients with enduring mental health problems, aged between 18 and 65, was compared with a similar sample attending a general adult psychiatric clinic. A cross-sectional survey collected demographic data and information about participants’ social networks. Participants also completed the Short Warwick Edinburgh Mental Well-Being Scale to examine well-being and the Significant Others Scale to explore their social network support. Results: The study recruited 53 participants (25 living in the community and 28 current in-patients) with 339 named as important members of their social networks. Both groups recorded low numbers in their social networks though the community sample had a significantly greater number of social contacts (7.4 vs. 5.4), more monthly contacts with members of their network and significantly higher levels of social media use. The in-patient group reported greater levels of emotional and practical support from their network. Conclusions: People with serious and enduring mental health problems living in the community had a significantly greater number of people in their social network than those who were in-patients while the in-patient group reported greater levels of emotional and practical support from their network. Recommendations for future work have been made.

Sign in / Sign up

Export Citation Format

Share Document