2014 European Network Intelligence Conference最新文献_第2页

The Concept of Recommender System Supporting Command and Control System in Hierarchical Organization 层级组织中支持指挥控制系统的推荐系统概念

2014 European Network Intelligence Conference Pub Date : 2014-09-29 DOI: 10.1109/ENIC.2014.9

Maj Grzegorz Pilarski

{"title":"The Concept of Recommender System Supporting Command and Control System in Hierarchical Organization","authors":"Maj Grzegorz Pilarski","doi":"10.1109/ENIC.2014.9","DOIUrl":"https://doi.org/10.1109/ENIC.2014.9","url":null,"abstract":"The most important aspect of operations in a hierarchical organization of military character is the fastness and aptness of the made decisions in the circumstances riddled with uncertainty and big risk. Thus, it is very important to equip a command body responsible for gathering, processing, sending and storing of information with proper IT tools which support the process of decision making. The conduct of research which aims at elaborating a concept of recommender system supporting the military decision making process (MDMP) is the most important activity in the transition period leading to the achievement of network centric capabilities in NATO. The author presents in this article distinctive features which describe the functioning of a hierarchical organization of military character as well as the most important results of research connected with the usage of the present applications supporting a command body in the military decision making process. The results and conclusions of the research allowed to create and present a concept of recommender system which, if implemented, could increase the effectiveness of a command body in a hierarchical organization of military character.","PeriodicalId":185148,"journal":{"name":"2014 European Network Intelligence Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128830281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Profile Cloning Detection in Social Networks 社交网络中的配置文件克隆检测

2014 European Network Intelligence Conference Pub Date : 2014-09-29 DOI: 10.1109/ENIC.2014.21

Piotr Bródka, Mateusz Sobas, H. Johnson

引用次数: 11

Norm Emergence via Influential Weight Propagation in Complex Networks 复杂网络中影响权传播的范数涌现

2014 European Network Intelligence Conference Pub Date : 2014-09-29 DOI: 10.1109/ENIC.2014.28

Ryosuke Shibusawa, T. Sugawara

{"title":"Norm Emergence via Influential Weight Propagation in Complex Networks","authors":"Ryosuke Shibusawa, T. Sugawara","doi":"10.1109/ENIC.2014.28","DOIUrl":"https://doi.org/10.1109/ENIC.2014.28","url":null,"abstract":"We propose an influence-based aggregative learning framework that facilitates the emergence of social norms in complex networks and investigate how a norm converges by learning through iterated local interactions in a coordination game. In society, humans decide to coordinate their behavior not only by exchanging information but also on the basis of norms that are often individually derived from interactions without a centralized authority. Coordination using norms has received much attention in studies of multi-agent systems. In addition, because agents often work as delegates of humans, they should have \"mental\" models about how to interact with others and incorporate differences of opinion. Because norms make sense only when all or most agents have the same one and they can expect that others will follow, it is important to investigate the mechanism of norm emergence through learning with local and individual interactions in agent society. Our method of norm learning borrows from the opinion aggregation process while taking into account the influence of local opinions in tightly coordinated human communities. We conducted experiments showing how our learning framework facilitates propagation of norms in a number of complex agent networks.","PeriodicalId":185148,"journal":{"name":"2014 European Network Intelligence Conference","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116713851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Assessing Professional Skills in a Multi-scale Environment by Means of Graph-Based Algorithms 用基于图的算法在多尺度环境中评估专业技能

2014 European Network Intelligence Conference Pub Date : 2014-09-29 DOI: 10.1109/ENIC.2014.12

J. Álvarez-Rodríguez, R. Colomo-Palacios

{"title":"Assessing Professional Skills in a Multi-scale Environment by Means of Graph-Based Algorithms","authors":"J. Álvarez-Rodríguez, R. Colomo-Palacios","doi":"10.1109/ENIC.2014.12","DOIUrl":"https://doi.org/10.1109/ENIC.2014.12","url":null,"abstract":"The present paper introduces a study of different techniques to assess professional skills in social networks and to align those user skills with existing multi-scale knowledge classifications. Currently both job seekers and talent hunters are looking for new and innovative techniques to filter jobs and candidates as well as candidates are also trying to improve and make more attractive their profiles. In this environment it is necessary to provide new techniques to assess the quality of professional skills depending on user's activity and to compare with existing scales. To do so some relevant graph-based techniques such as the HITS and the SPEAR algorithms have been used for calculating the confidence of a certain user in a particular skill. Moreover a new re-interpretation of the SPEAR algorithm, called Skill rank, is introduced to take advantage of user's behavior and history. A major outcome of this approach is that expertise and experts can be detected, verified and ranked using a suited trust metric. The paper also presents a validation of the Skill rank accuracy by means of a sound qualitative and quantitative comparison with existing approaches based on the opinions of a panel of experts (3) on a real dataset (created using the Linked in API) and two different scales. Although results show in general low values of accuracy (close to 50% of correct classified skills), the Skill rank technique is more accurate than other techniques to align a user skill in a certain scale of knowledge. Finally some discussion, conclusions and future work are also outlined.","PeriodicalId":185148,"journal":{"name":"2014 European Network Intelligence Conference","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133935837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

On the Effect of High Order Reputation Information on Trust Prediction in Wikipedia's Vote Network 高阶声誉信息对维基百科投票网络信任预测的影响

2014 European Network Intelligence Conference Pub Date : 2014-09-29 DOI: 10.1109/ENIC.2014.13

J. Nuñez-Gonzalez, M. Graña

引用次数: 1

Using Social Network Analysis to Unveil Cartels in Public Bids 利用社会网络分析揭示公开投标中的卡特尔

2014 European Network Intelligence Conference Pub Date : 2014-09-29 DOI: 10.1109/ENIC.2014.11

A. C. Gabardo, H. S. Lopes

{"title":"Using Social Network Analysis to Unveil Cartels in Public Bids","authors":"A. C. Gabardo, H. S. Lopes","doi":"10.1109/ENIC.2014.11","DOIUrl":"https://doi.org/10.1109/ENIC.2014.11","url":null,"abstract":"In recent years, the study of complex networks has attracted great attention. Several fields of science have used techniques of social network analysis and complex networks to represent a wide range of structures such as, social networks, political influence, communication, epidemics and several other aspects of human behavior. Most of the complex networks show community structures. Revealing these communities is highly relevant to understanding several social phenomena such as the organizing of groups, the flow of information and the strength of the influence of some members over the group. In this article, we use techiques of social network analysis and complex networks to represent the relationship between companies that are participating in public bids to unveil community structures analog to cartels. Several nations are facing injuries trough the misuse of public money caused by the formation of cartels, which are groupings of companies aiming to defraud the free competition. Our main goal in this work is to present a methodology for identifying these communities. Furthermore, we aim to address whether companies that have high success rates in public bids are grouped and identify whether they are taking advantage of their influence in the network.","PeriodicalId":185148,"journal":{"name":"2014 European Network Intelligence Conference","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124096096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Dynamic Network Approach to Marriage/Divorces Problem 婚姻/离婚问题的动态网络研究

2014 European Network Intelligence Conference Pub Date : 2014-09-29 DOI: 10.1109/ENIC.2014.24

A. Jarynowski, P. Nyczka

{"title":"Dynamic Network Approach to Marriage/Divorces Problem","authors":"A. Jarynowski, P. Nyczka","doi":"10.1109/ENIC.2014.24","DOIUrl":"https://doi.org/10.1109/ENIC.2014.24","url":null,"abstract":"We extend \"stable marriage problem\" studied via computer simulation (agent-based) from network perspective by dynamical generalization. We investigate how preferential or random attachment of individuals can affect simulation results such as: proportion of singles in society, number of divorces etc. We took into account attractiveness of individuals and its different types as well as personal taste. Current value of socio-economic pressure p (main model parameter) drives the dynamic of first marriage, remarriage or spontaneously marriage breaks up. Model reflects the behavior of the simplified heterosexual population (frequency of changing partners, the ratio of singles in society). Theoretical agent-based simulation (with populational approaches, e.g. Births and deaths) should be later supplemented by historical values of divorces/marriages in different countries of the world. Stable (constant) society was also implemented to show difference with \"living\" society. In this model, agents have attribute of attraction. Preferential attachment, known from network theory, was introduced, to mimic selection process. Additionally, totally random attachment (not attraction-depended) was also implemented for contrast.","PeriodicalId":185148,"journal":{"name":"2014 European Network Intelligence Conference","volume":"243 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124674720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A Privacy-Preserving Framework for Mining Continuous Sequences in Trajectory Systems 轨迹系统中连续序列挖掘的隐私保护框架

2014 European Network Intelligence Conference Pub Date : 2014-09-29 DOI: 10.1109/ENIC.2014.16

Pawel Jureczek, Adrianna Kozierkiewicz-Hetmanska

引用次数: 0

Foresighted Heat Ring: Tracking the Productivity and Collaborativeness of Researchers in Dynamic Networks 前瞻性热环:动态网络中研究人员生产力和协作性的跟踪

2014 European Network Intelligence Conference Pub Date : 2014-09-29 DOI: 10.1109/ENIC.2014.23

Alfredo Ramos Lezama, Tilman Göhnert, Sam Zeini, H. Hoppe

引用次数: 1

Characteristics of Terrorists Networks Based on Ideology and Practices 基于意识形态与实践的恐怖主义网络特征

2014 European Network Intelligence Conference Pub Date : 2014-09-29 DOI: 10.1109/ENIC.2014.34

Fatih Özgül, C. Bowerman

引用次数: 2