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A Dynamic Social Network Data Publishing Algorithm Based on Differential Privacy 被引量:2
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作者 Zhenpeng Liu Yawei Dong +1 位作者 Xuan Zhao Bin Zhang 《Journal of Information Security》 2017年第4期328-338,共11页
Social network contains the interaction between social members, which constitutes the structure and attribute of social network. The interactive relationship of social network contains a lot of personal privacy inform... Social network contains the interaction between social members, which constitutes the structure and attribute of social network. The interactive relationship of social network contains a lot of personal privacy information. The direct release of social network data will cause the disclosure of privacy information. Aiming at the dynamic characteristics of social network data release, a new dynamic social network data publishing method based on differential privacy was proposed. This method was consistent with differential privacy. It is named DDPA (Dynamic Differential Privacy Algorithm). DDPA algorithm is an improvement of privacy protection algorithm in static social network data publishing. DDPA adds noise which follows Laplace to network edge weights. DDPA identifies the edge weight information that changes as the number of iterations increases, adding the privacy protection budget. Through experiments on real data sets, the results show that the DDPA algorithm satisfies the user’s privacy requirement in social network. DDPA reduces the execution time brought by iterations and reduces the information loss rate of graph structure. 展开更多
关键词 DYNAMIC social network data PUBLISHING DIFFERENTIAL PRIVACY
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Attacks and Countermeasures in Social Network Data Publishing
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作者 YANG Mengmeng ZHU Tianqing +1 位作者 ZHOU Wanlei XIANG Yang 《ZTE Communications》 2016年第B06期2-9,共8页
With the increasing prevalence of social networks, more and more social network data are published for many applications, such as social network analysis and data mining. However, this brings privacy problems. For exa... With the increasing prevalence of social networks, more and more social network data are published for many applications, such as social network analysis and data mining. However, this brings privacy problems. For example, adversaries can get sensitive information of some individuals easily with little background knowledge. How to publish social network data for analysis purpose while preserving the privacy of individuals has raised many concerns. Many algorithms have been proposed to address this issue. In this paper, we discuss this privacy problem from two aspects: attack models and countermeasures. We analyse privacy conceres, model the background knowledge that adversary may utilize and review the recently developed attack models. We then survey the state-of-the-art privacy preserving methods in two categories: anonymization methods and differential privacy methods. We also provide research directions in this area. 展开更多
关键词 social network data publishing attack model privacy preserving
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Predict Edges in Fliker Social Network Using Data Mining Method
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作者 Amir Hossein Rasekh Zeinab Liaghat Ala Mahdavi 《Intelligent Information Management》 2012年第3期60-65,共6页
Using social networking services is becoming more popular day by day. The websites of the social networks like face-book currently are among the most popular internet services just after giant portals such as Yahoo, M... Using social networking services is becoming more popular day by day. The websites of the social networks like face-book currently are among the most popular internet services just after giant portals such as Yahoo, MSN and search engines like Google. One of the main problems in analyzing these networks is the prediction of relationships between people in the network. The purpose of this paper is to forecast the friendship of a person with a new person using existing data on Flickr website accurately. In this paper, we achieved about 90% percent correct prediction with regards to the results which are obtained by using data mining methods. 展开更多
关键词 social network data MINING LINK PREDICTION Regression
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Security Threat and Data Consumption as Mojor Nuisance of Social Media on Wi-Fi Network
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作者 Fuseini Inusah Ibrahim Mohammed Gunu Gaddafi Abdul-Salaam 《International Journal of Communications, Network and System Sciences》 2021年第2期15-29,共15页
This research is about the nuisances of social media applications on a Wi-Fi network at a university campus in Ghana. The aim was to access the security risk on the network, the speed of the network, and the data cons... This research is about the nuisances of social media applications on a Wi-Fi network at a university campus in Ghana. The aim was to access the security risk on the network, the speed of the network, and the data consumption of those platforms on the network. Network Mapper (Nmap Zenmap) Graphical User Interface 7.80 application was used to scan the various social media platforms to identify the protocols, ports, services, etc. to enable in accessing the vulnerability of the network. Data consumption of users’ mobile devices was collected and analyzed. Device Accounting (DA) based on the various social media applications was used. The results of the analysis revealed that the network is prone to attacks due to the nature of the protocols, ports, and services on social media applications. The numerous users with average monthly data consumption per user of 4 gigabytes, 300 megabytes on social media alone are a clear indication of high traffic as well as the cost of maintaining the network. A URL filtering of the social media websites was proposed on Rockus Outdoor AP to help curb the nuisance. 展开更多
关键词 data Consumption Device Accounting Mobile Devices social Media WiFi network Rockus Outdoor AP
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Modeling Reading and Replying Activities in a BBS Social Network 被引量:1
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作者 Fei Ding Yun Liu Bo Shen Hui Cheng 《Journal of Electronic Science and Technology》 CAS 2010年第4期300-306,共7页
This paper is devoted to analyze and model user reading and replying activities in a bulletin board system (BBS) social network. By analyzing the data set from a famous Chinese BBS social network, we show how some u... This paper is devoted to analyze and model user reading and replying activities in a bulletin board system (BBS) social network. By analyzing the data set from a famous Chinese BBS social network, we show how some user activities distribute, and reveal several important features that might characterize user dynamics. We propose a method to model user activities in the BBS social network. The model could reproduce power-law and non-power-law distributions of user activities at the same time. Our results show that user reading and replying activities could be simulated through simple agent-based models. Specifically, manners of how the BBS server interacts with Internet users in the Web 2.0 application, how users organize their reading lists, and how user behavioral trait distributes are the important factors in the formation of activity patterns. 展开更多
关键词 Agent based modeling bulletin boardsystem data analysis online social network.
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Studying Group Dynamics through Social Networks Analysis in a Medical Community
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作者 Ruben P. Albuquerque Jonice Oliveira +2 位作者 Fabrício F. Faria Rafael Monclar Jano M. de Souza 《Social Networking》 2014年第2期134-141,共8页
In 2008, the Brazilian Department of Science and Technology created the INCTs (Brazilian Science and Technology Institutes). One of them was the Cancer Control INCT. Due to its importance and considering that there ar... In 2008, the Brazilian Department of Science and Technology created the INCTs (Brazilian Science and Technology Institutes). One of them was the Cancer Control INCT. Due to its importance and considering that there are different groups working together in the same area, it is important that they collaborate intensely. Envisioning an empowerment of scientific collaboration, the BRINCA project was created to support a set of analyses of the social networks from this particular INCT. These analyses were created by mining curricular and publications bases, and identifying different types of scientific relationships and areas. We were able to observe, for instance, how the interaction is amongst researchers from related areas, which researchers were more collaborative and which ones were isolated from the network. These analyzes were used by the INCT coordination to understand and act to improve scientific collaboration. 展开更多
关键词 social networks SCIENTIFIC COLLABORATIONS data MINING
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GatherTweet: A Python Package for Collecting Social Media Data on Online Events
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作者 Claudia Kann Sarah Hashash +1 位作者 Zachary Steinert-Threlkeld R. Michael Alvarez 《Journal of Computer and Communications》 2023年第2期172-193,共22页
Social media plays a crucial role in the organization of massive social movements. However, the sheer quantity of data generated by the events as well as the data collection restrictions that researchers encounter, le... Social media plays a crucial role in the organization of massive social movements. However, the sheer quantity of data generated by the events as well as the data collection restrictions that researchers encounter, leads to a series of challenges for researchers who want to analyze dynamic public discourse and opinion in response to and in the creation of world events. In this paper we present gatherTweet, a Python package that helps researchers efficiently collect social media data for events that are composed of many decentralized actions (across both space and time). The package is useful for studies that require analysis of the organizational or baseline messaging before an action, the action itself, and the effects of the action on subsequent public discourse. By capturing these aspects of world events gatherTweet enables the study of events and actions like protests, natural disasters, and elections. 展开更多
关键词 data Science Movements social Media data TWITTER network Science data Mining PYTHON
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Sentiment Analysis on the Social Networks Using Stream Algorithms
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作者 Nathan Aston Timothy Munson +3 位作者 Jacob Liddle Garrett Hartshaw Dane Livingston Wei Hu 《Journal of Data Analysis and Information Processing》 2014年第2期60-66,共7页
The rising popularity of online social networks (OSNs), such as Twitter, Facebook, MySpace, and LinkedIn, in recent years has sparked great interest in sentiment analysis on their data. While many methods exist for id... The rising popularity of online social networks (OSNs), such as Twitter, Facebook, MySpace, and LinkedIn, in recent years has sparked great interest in sentiment analysis on their data. While many methods exist for identifying sentiment in OSNs such as communication pattern mining and classification based on emoticon and parts of speech, the majority of them utilize a suboptimal batch mode learning approach when analyzing a large amount of real time data. As an alternative we present a stream algorithm using Modified Balanced Winnow for sentiment analysis on OSNs. Tested on three real-world network datasets, the performance of our sentiment predictions is close to that of batch learning with the ability to detect important features dynamically for sentiment analysis in data streams. These top features reveal key words important to the analysis of sentiment. 展开更多
关键词 Modified BALANCED WINNOW SENTIMENT Analysis TWITTER Online social networks Feature Selection data STREAMS
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Social Network Analysis Combined to Neural Networks to Predict Churn in Mobile Carriers
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作者 Carlos Andre Reis Pinheiro Markus Helfert 《通讯和计算机(中英文版)》 2012年第2期155-158,共4页
关键词 移动运营商 神经网络 网络分析 社会 测流 客户群 业务流程 运营成本
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物质与社会双维视角下历史街区更新研究
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作者 黄利华 焦政 +1 位作者 徐丹 邬尚霖 《华中建筑》 2025年第1期90-95,共6页
信息化手段的应用和多元融合视角有助于深入解析空间特点和发展问题。本研究基于“物质与社会”双维视角的拓展,联合应用形态区划、大数据分析和社会调查多种研究方法,基于历史街区的形态类型划分,解析各类形态单元的物质形态和空间使... 信息化手段的应用和多元融合视角有助于深入解析空间特点和发展问题。本研究基于“物质与社会”双维视角的拓展,联合应用形态区划、大数据分析和社会调查多种研究方法,基于历史街区的形态类型划分,解析各类形态单元的物质形态和空间使用特征,而后结合综合价值的判定,分类提出各形态单元的更新策略。研究结论表明:历史街区的更新不应局限于空间形态解析,应结合空间使用者特征与需求的多维分析,进行不同时序与模式的确定。研究意图为历史街区空间与人群的联动管理提供新思路,研究结论对有效引导历史街区的自有资源和动力具有指导意义。 展开更多
关键词 空间形态 社会形态 大数据 历史街区 更新策略
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More than Just a Game: The Power of Social Media on Super Bowl XLVI
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作者 Fernanda Bruno dos Santos Jonice Oliveira 《Social Networking》 2014年第2期142-145,共4页
The evolution of social media in the recent years promoted the appearance of a new category: social media based on check-in. It enables the user to define their identity through information sharing. This paper aims to... The evolution of social media in the recent years promoted the appearance of a new category: social media based on check-in. It enables the user to define their identity through information sharing. This paper aims to show the evolution of these media highlighting the effects and changes they cause in society through Super Bowl XLVI scenario, besides indicating the important role they have for the companies and marketing. 展开更多
关键词 social Media data Mining MARKETING social networks GAMIFICATION
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From Mind to Products:Towards Social Manufacturing and Service 被引量:5
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作者 Gang Xiong Fei-Yue Wang +5 位作者 Timo R. Nyberg Xiuqin Shang Mengchu Zhou Zhen Shen Shuangshuang Li Chao Guo 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2018年第1期47-57,共11页
After reviewing the development of industrial manufacturing, a novel concept called social manufacturing(SM) and service are proposed as an innovative manufacturing solution for the coming personalized customization e... After reviewing the development of industrial manufacturing, a novel concept called social manufacturing(SM) and service are proposed as an innovative manufacturing solution for the coming personalized customization era. SM can realize a customer's requirements of "from mind to products", and fulfill tangible and intangible needs of a prosumer, i.e., producer and consumer at the same time. It represents a manufacturing trend,and is expected to become popular in more and more industries.First, a comparison between mass customization and SM is given out, and the basis and motivation from social network to SM is analyzed. Then, its basic theories and supporting technologies,like Internet of Things(Io T), social networks, cloud computing,3 D printing, and intelligent systems, are introduced and analyzed,and an SM platform prototype is developed. Finally, three transformation modes towards SM and 3 D printing are suggested for different user cases. 展开更多
关键词 Big data cloud computing intelligent system social manufacturing social networks 3D printing
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铁路网络联系对城市土地绿色利用效率的影响研究——以长三角地区为例 被引量:1
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作者 严思齐 吴群 《中国土地科学》 CSSCI CSCD 北大核心 2024年第4期65-77,共13页
研究目的:探究铁路网络联系对城市土地绿色利用效率的影响及空间溢出效应,为依托铁路交通发展促进土地绿色利用效率提升提供科学依据。研究方法:超效率SBM模型,社会网络分析方法,空间面板模型。研究结果:(1)长三角城市铁路联系强度和土... 研究目的:探究铁路网络联系对城市土地绿色利用效率的影响及空间溢出效应,为依托铁路交通发展促进土地绿色利用效率提升提供科学依据。研究方法:超效率SBM模型,社会网络分析方法,空间面板模型。研究结果:(1)长三角城市铁路联系强度和土地绿色利用效率均呈现显著的增长趋势,土地绿色利用效率存在着较为明显的区域差异。(2)铁路联系强度的提高促进了本城市土地绿色利用效率的提升,与综合铁路联系相比,高铁联系对本城市土地绿色利用效率的提升作用更加明显。(3)铁路联系的加强促进了本城市产业结构合理化水平的提升和创新产出的增长,进而对土地绿色利用效率产生影响。高铁联系在促进本城市产业结构合理化水平提升和创新产出增长方面的作用更加明显。(4)城市对外铁路联系强度的提高产生了负向的空间溢出效应,抑制了邻近城市土地绿色利用效率的提升。研究结论:应充分发挥铁路建设在优化产业结构、促进创新方面的作用,依托铁路网络加强区域内经济技术合作、发挥各城市比较优势,以推动区域土地绿色利用效率的整体性提升。 展开更多
关键词 铁路网络联系 土地绿色利用效率 社会网络分析方法 空间面板模型 长三角地区
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社交网络用户反馈数据的个性化推荐算法仿真
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作者 冯必波 张伶俐 尹静 《计算机仿真》 2024年第11期375-379,共5页
社交网络通常涉及大量的用户和内容,使得对所有用户和所有内容进行个性化推荐的计算复杂度非常高,导致推荐系统难以捕捉到用户的偏好和兴趣。因此,提出一种社交网络用户反馈数据的个性化推荐算法。通过用户时间和空间范围的相似度计算方... 社交网络通常涉及大量的用户和内容,使得对所有用户和所有内容进行个性化推荐的计算复杂度非常高,导致推荐系统难以捕捉到用户的偏好和兴趣。因此,提出一种社交网络用户反馈数据的个性化推荐算法。通过用户时间和空间范围的相似度计算方法,结合用户之间的信任关系,准确地捕捉目标用户的个性化信息。采用全局相似度计算方法,结合用户邻居和项目邻居的相似度计算,建立全局相似度计算矩阵分解模型,采用聚类算法按用户聚类特征个性化推荐,通过构建兴趣图谱和计算用户与聚类主题之间的参与关系,计算个性化向量的相互距离和差异性指数,实现精准的个性化推荐。实验结果表明,所提方法在困惑度和平均余弦相似性指标上表现好,说明上述方法在同等的用户反馈数据个性化兴趣推荐条件下能够提供精准和与用户兴趣相似的推荐结果。 展开更多
关键词 社交网络 用户反馈数据 个性化推荐 活动区域 相似度计算
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细微粒度视域下国内外跨社交网络用户对齐研究综述
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作者 赵涛 高恒 《苏州科技大学学报(自然科学版)》 CAS 2024年第2期1-8,42,共9页
针对多源复杂网络用户管理所面临的冷启动、信息孤岛问题难以满足企业在不同社交网络中识别同一用户的困境,传统的仅使用单一维度特征提取源的跨社交网络用户对齐方法难以实现迅速、精准的用户识别,而使用细微粒度视域下的多维特征提取... 针对多源复杂网络用户管理所面临的冷启动、信息孤岛问题难以满足企业在不同社交网络中识别同一用户的困境,传统的仅使用单一维度特征提取源的跨社交网络用户对齐方法难以实现迅速、精准的用户识别,而使用细微粒度视域下的多维特征提取源可以有效耦合各类用户信息的优势以提升识别效率和精准度。论文首先以国内外跨社交网络用户对齐的相关文献为研究对象进行系统性分析,从细微粒度视域出发对文献主要内容进行汇总与梳理;然后逐一细化地对比分析以总结现有不同研究所采用的特征提取源之间的差异、优势和桎梏;最后从隐私数据集获取、多维数据集成和多源社交网络数据耦合3个方面来对未来用户对齐领域中的研究前沿方向与研究深入挖掘点作出展望。 展开更多
关键词 跨社交网络 复杂网络 数据挖掘 用户对齐
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基于LBSN数据聚类分析的城市POI感知方法
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作者 杨桂松 郭东升 +1 位作者 何杏宇 卢海军 《智能计算机与应用》 2024年第7期43-49,共7页
城市POI的分布情况客观反映了一个城市各行各业的发展情况,传统获取POI的测绘手段成本高、更新周期长、时效性差,而基于位置的社交网络(Location-Based Social Network,LBSN)平台的发展为实现城市POI的感知提供了一种新思路。本文提出... 城市POI的分布情况客观反映了一个城市各行各业的发展情况,传统获取POI的测绘手段成本高、更新周期长、时效性差,而基于位置的社交网络(Location-Based Social Network,LBSN)平台的发展为实现城市POI的感知提供了一种新思路。本文提出一种基于LBSN数据聚类分析的城市POI感知方法,首先,对LBSN数据进行预处理,包括清洗重复数据、删除无效数据、数据预分类等,以提高数据的有效性;其次,提出一种改进的DBSCAN算法,对处理后的数据进行聚类分析,从而得到准确度较高的城市各类POI分布情况。实验结果表明,与传统的DBSCAN算法以及K-means算法相比,本文提出的算法有更好的聚类效果,且在聚类指标上有更大的CH指数值和更小的DBI指数值。 展开更多
关键词 城市POI感知 基于位置的社交网络 数据预处理 改进的DBSCAN算法
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基于双向注意力机制的多模态关系抽取 被引量:1
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作者 吴海鹏 钱育蓉 冷洪勇 《计算机工程》 CAS CSCD 北大核心 2024年第4期160-167,共8页
传统关系抽取方法从纯文本中识别实体对之间的关系,多模态关系抽取方法通过利用多种模态信息辅助关系抽取任务。针对现有多模态关系抽取模型在处理图像数据时存在容易受到冗余信息干扰的问题,提出一种基于双向注意力机制的多模态关系抽... 传统关系抽取方法从纯文本中识别实体对之间的关系,多模态关系抽取方法通过利用多种模态信息辅助关系抽取任务。针对现有多模态关系抽取模型在处理图像数据时存在容易受到冗余信息干扰的问题,提出一种基于双向注意力机制的多模态关系抽取模型。首先,采用来自Transformer的双向编码器表示(BERT)与场景图生成模型分别提取文本语义特征与图像语义特征。然后,利用双向注意力机制建立图像到文本与文本到图像的双向对齐机制,通过这种双向对齐机制实现图像与文本之间的双向信息交互,赋予图像中冗余信息较低的权重以削弱其对文本语义表示的干扰,从而减轻图像中冗余信息对关系抽取结果造成的负面影响。最后,将对齐后的文本特征表示与视觉特征表示相连接形成文本与图像的融合特征,通过多层感知机(MLP)计算所有关系分类的概率分数并输出预测关系。在用于神经关系提取的多模式数据集(MNRE)上的实验结果表明,该模型的精确率、召回率、F1值分别达到65.53%、69.21%与67.32%,相比于基准模型均有明显提升,具有较好的关系抽取效果。 展开更多
关键词 关系抽取 社交网络 冗余信息 多模态数据 双向注意力机制
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卫生健康标准中关系型数据共现矩阵计算及SAS程序实现
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作者 刘拓 侯学文 +2 位作者 李宁 俞铖航 黄烈雨 《中国卫生标准管理》 2024年第1期1-5,共5页
目的设计卫生健康标准中关系型数据共现矩阵的求解路径及其SAS实现方法。方法文章以计算一组标准的起草单位共现矩阵为例,将“标准-起草单位”二维表格导入SAS(版本号:9.4),按照“两两相乘”的计算思路自行设计宏程序计算起草单位之间... 目的设计卫生健康标准中关系型数据共现矩阵的求解路径及其SAS实现方法。方法文章以计算一组标准的起草单位共现矩阵为例,将“标准-起草单位”二维表格导入SAS(版本号:9.4),按照“两两相乘”的计算思路自行设计宏程序计算起草单位之间的共现矩阵。结果以计算一组标准的起草单位共现矩阵为例,采用自行构建的模拟数据进行演示。首先,导入宏循环起始的数据集,并计算共现频次C_(j,k);然后,导出为out数据集,进一步合并数据集,形成最终的共现矩阵。结论SAS宏程序计算标准中关系型数据共现矩阵具有灵活高效的优势,可用于社会网络分析和互动演进规律总结。 展开更多
关键词 卫生健康标准 关系型数据 共现矩阵 起草单位 SAS宏 社会网络分析 互动演进
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在线社交网络中用户地理位置预测综述
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作者 刘乐源 代雨柔 +1 位作者 曹亚男 周帆 《计算机研究与发展》 EI CSCD 北大核心 2024年第2期385-412,共28页
随着智能移动终端的日益普及,人们越来越多地利用社交网络平台(如Twitter、新浪微博等)获取信息、评论和交流.虽然全球卫星定位系统(GPS)设备能够精确获取位置信息,但是大量用户出于隐私和安全的考虑不会直接共享自己的位置信息.因此,... 随着智能移动终端的日益普及,人们越来越多地利用社交网络平台(如Twitter、新浪微博等)获取信息、评论和交流.虽然全球卫星定位系统(GPS)设备能够精确获取位置信息,但是大量用户出于隐私和安全的考虑不会直接共享自己的位置信息.因此,如何获取在线用户的地理位置成为了一个前沿的研究领域以及学术界和工业界共同关注的重要课题,并且成为众多下游应用的基础,例如基于位置的定向广告投放、事件/地点的推荐、自然灾害或疾病预警和网络犯罪的追踪等.详细总结了预测社交网络用户地理位置的方法、数据、评价体系和基础算法.首先,归纳了不同的定位任务以及相应的评价指标;其次,针对不同的任务梳理所用的数据类型和数据融合方式,并且,详尽分析了已有的信息抽取和特征选择方式及其优缺点;再次,对现有定位模型和算法进行分类,从地名词典、传统机器学习和深度学习3个方面对用户定位方法进行阐述和分析;最后,总结了社交网络用户地理位置预测的难点和面临的挑战,并展望该领域的发展趋势和未来研究所需要关注的方向. 展开更多
关键词 社交网络 地理位置预测 数据分析与融合 信息抽取 时空特征
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面向社会关系网络的数字金融欺诈检测研究进展 被引量:2
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作者 刘华玲 许珺怡 +2 位作者 曹世杰 刘雅欣 乔梁 《浙江大学学报(理学版)》 CAS CSCD 北大核心 2024年第1期41-54,共14页
在金融科技兴起的新时代,数字技术是金融业未来发展的核心驱动力,基于数字技术的欺诈检测成为新的研究热点。金融欺诈检测技术研究由传统的提升专家经验、优化机器学习模型转向探索面向社会关系网络的图机器学习方法。聚焦社会关系网络... 在金融科技兴起的新时代,数字技术是金融业未来发展的核心驱动力,基于数字技术的欺诈检测成为新的研究热点。金融欺诈检测技术研究由传统的提升专家经验、优化机器学习模型转向探索面向社会关系网络的图机器学习方法。聚焦社会关系网络,基于网络分析的发展历程,从检测异常个人、可疑团伙和不良中介3类主体的视角,对金融欺诈检测的核心工作、典型应用进行了综述;归纳分析了面向社会关系网络不同类别的数字金融欺诈检测技术;并给出了面向社会关系网络的数字金融欺诈检测研究的发展趋势和方向。 展开更多
关键词 大数据 人工智能 社会关系网络 欺诈检测 反欺诈
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