2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)最新文献_第3页

The role of organization hierarchy in technology adoption at the workplace 组织层级在工作场所技术采用中的作用

2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013) Pub Date : 2013-08-25 DOI: 10.1145/2492517.2492566

C. Chelmis, V. Prasanna

{"title":"The role of organization hierarchy in technology adoption at the workplace","authors":"C. Chelmis, V. Prasanna","doi":"10.1145/2492517.2492566","DOIUrl":"https://doi.org/10.1145/2492517.2492566","url":null,"abstract":"Popular social networking sites have revolutionized the way people interact on the Web, enabling rapid information dissemination and search. In an enterprise, understanding how information flows within and between organizational levels and business units is of great importance. Despite numerous studies in information diffusion in online social networks, little is known about factors that affect the dynamics of technological adoption at the workplace. Here, we address this problem, by examining the impact of organizational hierarchy in adopting new technologies in the enterprise. Our study suggests that middle-level managers are more successful in influencing employees into adopting a new microblogging service. Further, we reveal two distinct patterns of peer pressure, based on which employees are not only more likely to adopt the service, but the rate at which they do so quickens as the popularity of the new technology increases. We integrate our findings into two intuitive, realistic agent-based computational models that capture the dynamics of adoption at both microscopic and macroscopic levels. We evaluate our models in a real-world dataset we collected from a multinational Fortune 500 company. Prediction results show that our models provide great improvements over commonly used diffusion models. Our findings provide significant insights to managers seeking to realize the dynamics of adoption of new technologies in their company, and could assist in designing better strategies for rapid and efficient technology adoption and information dissemination at the workplace.","PeriodicalId":442230,"journal":{"name":"2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129683819","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: 14

Exploring friend's influence in cultures in Twitter 在推特上探索朋友对文化的影响

2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013) Pub Date : 2013-08-25 DOI: 10.1145/2492517.2492549

Anika Gupta, K. Sycara, Geoffrey J. Gordon, Ahmed S. Hefny

引用次数: 4

On the use of mobility data for discovery and description of social ties 利用流动数据发现和描述社会关系

2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013) Pub Date : 2013-08-25 DOI: 10.1145/2492517.2500263

Mitra Baratchi, N. Meratnia, P. Havinga

{"title":"On the use of mobility data for discovery and description of social ties","authors":"Mitra Baratchi, N. Meratnia, P. Havinga","doi":"10.1145/2492517.2500263","DOIUrl":"https://doi.org/10.1145/2492517.2500263","url":null,"abstract":"Ever-increasing emergence of location-aware ubiquitous devices has facilitated collection of time-stamped mobility data. This large volume of data not only provides trajectory information but also information about social interaction between individuals. Unlike trajectory representation and discovery, discovery of social ties and interactions hidden in mobility data has not yet been fully explored. To identify such interaction, social network analysis has been recently used. However, compared with data from emails, phone calls, and messages, which are commonly used for social network analysis, mobility data convey less information about interaction between entities. Therefore, identifying the type of tie between two entities using only mobility data is a great challenge. In this paper, we propose a method for measuring the strength and type of social ties between people only based on their spatio-temporal correlations. Using mutual information metric, we propose utilization of two types of measures for identifying the purpose of being in a certain location. Our experimental results using a location-aware sensing device show that our method can identify different social ties between various entities successfully.","PeriodicalId":442230,"journal":{"name":"2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131942346","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: 15

Which crime features are important for criminal network members? 哪些犯罪特征对犯罪网络成员来说是重要的?

2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013) Pub Date : 2013-08-25 DOI: 10.1145/2492517.2500319

Fatih Özgül, Z. Erdem

引用次数: 3

Analyzing the scalability of a social network of agents 分析代理社会网络的可扩展性

2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013) Pub Date : 2013-08-25 DOI: 10.1145/2492517.2492571

Mohammad Moshirpour, Shimaa M. El-Sherif, R. Alhajj, B. Far

{"title":"Analyzing the scalability of a social network of agents","authors":"Mohammad Moshirpour, Shimaa M. El-Sherif, R. Alhajj, B. Far","doi":"10.1145/2492517.2492571","DOIUrl":"https://doi.org/10.1145/2492517.2492571","url":null,"abstract":"Social networks are ever-growing systems by inheritance. The increase in the number nodes in these systems often brings forth the need to add additional functionalities. However due to the distributed nature of social networks, system growth can be a challenging task. Therefore scalability of the system is of vital importance in the design of social networks. This research attempts to establish a comprehensive framework for analysis and validation of requirements and design documents for software systems. In previous work, we applied this framework to analyze the requirements of a social network of agents; expressed using scenario-based specifications. Scenarios are appealing because of their expressive power and simplicity. Moreover due to the clear and concise notation of scenarios, they can be used to analyze the system requirements for general validity, lack of deadlock, and existence of emergent behavior. In this paper a methodology to analyze the scalability of social networks is presented. This methodology is devised to indicate whether or not the new requirements of the system are consistent with the current requirements in place. A larger prototype of a social network of MSA for semantic search is utilized to illustrate the developed methodology.","PeriodicalId":442230,"journal":{"name":"2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131621748","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: 2

I act, therefore I judge: Network sentiment dynamics based on user activity change 我行动，因此我判断:基于用户活动变化的网络情绪动态

2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013) Pub Date : 2013-08-25 DOI: 10.1145/2492517.2492623

Kathy Macropol, Petko Bogdanov, Ambuj K. Singh, L. Petzold, Xifeng Yan

{"title":"I act, therefore I judge: Network sentiment dynamics based on user activity change","authors":"Kathy Macropol, Petko Bogdanov, Ambuj K. Singh, L. Petzold, Xifeng Yan","doi":"10.1145/2492517.2492623","DOIUrl":"https://doi.org/10.1145/2492517.2492623","url":null,"abstract":"The study of influence, persuasion, and user sentiment dynamics within online communities has recently emerged as a highly active area of research. In this paper, we focus on analyzing and modeling user sentiment dynamics within a real-world social media such as Twitter. Beyond text and connectivity, we are interested in exploring the level of topical user posting activity and its effect on sentiment change. We perform topic-wise analysis of tweeting behavior that reveals a strong relationship between users' activity acceleration and topic sentiment change. Inspired by this empirical observation, we develop a new generative and predictive model that extends classical neighborhood-based influence propagation with the notion of user activation. We fit the parameters of our model to a large, real-world Twitter dataset and evaluate its utility to predict future sentiment change. Our model outperforms significantly (1 order of magnitude in accuracy) existing alternatives in identifying the individuals who are most likely to change sentiment based on past information. When predicting the next sentiment of users who actually change their opinion (a relatively rare event), our model is twice more accurate than alternatives, while its overall network accuracy is 94% on average. We also study the effect of inactive users on consensus efficiency in the opinion dynamics process both analytically and in simulation within the context of our model.","PeriodicalId":442230,"journal":{"name":"2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129297277","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: 12

Measurement and understanding of Cyberlocker URL-sharing sites: Focus on movie files 对Cyberlocker url共享站点的测量和理解:以电影文件为重点

2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013) Pub Date : 2013-08-25 DOI: 10.1145/2492517.2500303

Mengjuan Liu, Zhuo Zhang, P. Hui, Yujie Qin, S. Kulkarni

{"title":"Measurement and understanding of Cyberlocker URL-sharing sites: Focus on movie files","authors":"Mengjuan Liu, Zhuo Zhang, P. Hui, Yujie Qin, S. Kulkarni","doi":"10.1145/2492517.2500303","DOIUrl":"https://doi.org/10.1145/2492517.2500303","url":null,"abstract":"Recently, Cyberlocker services have gained great popularity in the file-sharing market. Driven by tremendous benefits a large number of files such as popular movies are uploaded to Cyberlockers. We explore the profit chain of file-sharing networks based on Cyberlockers and find that an important issue is how to collect the download URLs of popular files stored at different Cyberlockers and share them with public users. In this paper, we focus on these sites collecting and sharing the Cyberlocker URLs of movies, called Cyberlocker URL-sharing sites. First, we extract 1,587 URL-sharing sites based on 31,525 valid pages returned by Google search and demonstrate that the quality distribution of these sites follows a power-law. Second, we analyze the link citations among URL-sharing sites and build the directed link citation graph. By characterizing basic metrics of the graph, such as cited strength and in/out-degree, we understand the structure of URL-sharing sites in depth. Furthermore, we discover that Cyberlocker URLs can be disseminated dynamically through crawler mechanisms among different sites, and highlight the implications of such metrics in this context. Additionally, we study the security risks of 1,587 URL-sharing sites. The results show that security risks do exist when surfing 155 suspicious URL-sharing sites such as myrls.me and rapid4me.com although the majority sites (90.23%) are safe. Finally, some preliminary suggestions are discussed from the industry point of view for how to improve the effectiveness of searching, collecting and disseminating Cyberlocker URLs. To the best of our knowledge, this is the first work on the measurement and understanding of Cyberlocker URL-sharing sites.","PeriodicalId":442230,"journal":{"name":"2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126613377","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: 6

Shallow parsing for recognizing threats in Dutch tweets 浅层解析识别荷兰语推文中的威胁

2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013) Pub Date : 2013-08-25 DOI: 10.1145/2492517.2500271

Nelleke Oostdijk, H. V. Halteren

引用次数: 13

Detecting changes in content and posting time distributions in social media 检测社交媒体内容和发布时间分布的变化

2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013) Pub Date : 2013-08-25 DOI: 10.1145/2492517.2492618

Kazumi Saito, K. Ohara, M. Kimura, H. Motoda

引用次数: 4

Community detection in social networks through similarity virtual networks 基于相似虚拟网络的社交网络社区检测

2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013) Pub Date : 2013-08-25 DOI: 10.1145/2492517.2500299

Kanna AlFalahi, Yacine Atif, S. Harous

{"title":"Community detection in social networks through similarity virtual networks","authors":"Kanna AlFalahi, Yacine Atif, S. Harous","doi":"10.1145/2492517.2500299","DOIUrl":"https://doi.org/10.1145/2492517.2500299","url":null,"abstract":"Smart marketing models could utilize communities within the social Web to target advertisements. However, providing accurate community partitions in a reasonable time is challenging for current online large-scale social networks. In this paper, we propose an approach to enhance community detection in online social networks using node similarity techniques. We apply these techniques on unweighted social networks to detect community structure. Our proposed approach creates a virtual network based on the original social network. Virtual edges are added during this pre-processing step based on nodes' similarity in the original social network. Hence, a virtual link is established between any two similar nodes. Then the landmark CNM algorithm is applied on the generated virtual network to detect communities. This approach, labelled Similarity-CNM is expected to further maximize the quality of the inferred communities in terms of modularity and detection speed. Our experimental evaluation study asserts these gains, which accuracy is supported by a study based on Normalized Mutual Information Measure to determine how similar are the actual communities in the original network and the ones found by the proposed approach in this paper.","PeriodicalId":442230,"journal":{"name":"2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124926990","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: 15