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CASoN 2015: International Conference on Computational Aspects of Social Networks

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CASoN
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截稿日期:
2015-09-05 Extended
通知日期:
2015-09-20
会议日期:
2015-12-01
会议地点:
Pietermaritzburg, South Africa
届数:
7
QUALIS: B4   浏览: 20709   关注: 2   参加: 0

会伴指数 (CP-I)

45.7 / 100
全站第 2,647 名 / 共 5,682 个会议 · 前 47%

信息系统与 Web 第 125 / 253

学术认可 (35%)
54
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
56
社区关注 (10%)
19
资料公开度 (15%)
25

用到的输入: 收录等级：QUALIS B4 · 有据可查的届次：7 · 在会伴关注它的研究者：2 人 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-16

征稿

CASoN 2015 (International Conference on Computational Aspects of Social Networks) is a QUALIS B4 conference held in Pietermaritzburg, South Africa on 2015-12-01. The paper submission deadline is 2015-09-05 (extended). Acceptance notifications are sent on 2015-09-20.

The International Conference on Computational Aspects of Social Networks (CASoN 2014) brings together an interdisciplinary venue for social scientists, mathematicians, computer scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of intelligent methods applied to Social Networks, and to discuss the practical challenges encountered and the solutions adopted. Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. These social network systems are usually characterized by the complex network structures and rich accompanying contextual information. Recent trends also indicate the usage of complex network as a key feature for next generation usage and exploitation of the Web. This international conference on Computational Aspect of Networks is focused on the foundations of social networks as well as case studies, empirical, and other methodological works related to the computational tools for the automatic discovery of Web-based social networks. This conference provides an opportunity to compare and contrast the ethological approach to social behavior in animals (including the study of animal tracks and learning by members of the same species) with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. The main topics cover the design and use of various computational intelligence tools and software, simulations of social networks, representation and analysis of social networks, use of semantic networks in the design and community-based research issues such as knowledge discovery, privacy and protection, and visualization. We solicit original research and technical papers not published elsewhere. The papers can be theoretical, practical and application, and cover a broad set of intelligent methods, with particular emphasis on Social Network computing. Computational methods such as (but not restricted to): Neural Networks and Connectionist Models Evolutionary Algorithms Fuzzy Logic Knowledge Management Multi-valued Logic Semantic Networks Rough Sets Intelligent Agents Ontologies Reinforcement Learning Applications on Social Networks: Network evolution Network evolution and growth mechanisms. Online communities and computer networks. Information diffusion in social networks. Detection of communities by document analysis. Topology of real networks. Recommendation Information diffusion in social networks. Recommendations for product purchase, information acquisition and establishment of social relations. Impact of recommendation models on the evolution of the social network. Classification models and their application in social recommender systems. Advertisement models Economical impact of social network discovery. Social advertising. Use of social networks for marketing. Search in network Web page ranking informed by social media. Search algorithms on social networks. Collaborative Filtering. Security Anomaly detection in social network evolution. Data protection inside communities. Crime data mining and network analysis. Modeling trust and reputation in social networks. Misbehavior detection in communities. Network geography Geographical clusters, networks, and innovation. Social geography. International Collaborations in e-Social network. Web Automatic discovery and analysis of Web based social networks. Link Topology and Site Hierarchy. Web mining algorithms. Web communities. Web-Based Cooperative Work. Evaluation Test collection. Benchmark creation. Measures and methodologies. Paper submission Submitted papers should be original and contain contributions of theoretical, experimental or application nature, or be unique experience reports. Papers must be submitted within the stipulated time and electronic submission in PDF is required. The page limit for a full-length paper is 6 pages. Short papers describing novel research visions, work-in-progress or less mature results are also welcome, with a minimum limit of 4 pages. Note: Papers less than 4 pages will not be reviewed and may be rejected outright! All submissions should be in the IEEE 8.5 two-column format. Papers should contain up to 5 keywords. Papers will be evaluated for originality, significance, clarity, and soundness, and will be reviewed by at least three independent reviewers. Please refer to the author templates given below: MS Word template: Doc Template LaTex Formatting Macros: TeX Template The authors of the accepted papers will be allowed to make a correction in accordance with the suggestions of the reviewers and submit final camera-ready papers within the stipulated deadline. The conference proceedings will be distributed amongst the participants during the conference. Accepted papers must be presented by author(s) personally to be published in the conference proceedings. Submit your paper at the submission site.
由 Dou Sun 最后更新于

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