2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)最新文献_第4页

Using global diversity and local features to identify influential social network spreaders 利用全球多样性和地方特征识别有影响力的社交网络传播者

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921700

Yu-Hsiang Fu, Chung-Yuan Huang, Chuen-Tsai Sun

引用次数: 6

Simpler is better? Lexicon-based ensemble sentiment classification beats supervised methods 越简单越好?基于词典的集成情感分类打败了监督方法

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921696

Lukasz Augustyniak, Tomasz Kajdanowicz, Piotr Szymański, W. Tuliglowicz, Przemyslaw Kazienko, R. Alhajj, B. Szymanski

引用次数: 31

Min(e)d your tags: Analysis of Question response time in StackOverflow 最小(e)d你的标签:在StackOverflow问题响应时间的分析

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921605

Vasudev D. Bhat, Adheesh Gokhale, Ravi Jadhav, J. Pudipeddi, L. Akoglu

{"title":"Min(e)d your tags: Analysis of Question response time in StackOverflow","authors":"Vasudev D. Bhat, Adheesh Gokhale, Ravi Jadhav, J. Pudipeddi, L. Akoglu","doi":"10.1109/ASONAM.2014.6921605","DOIUrl":"https://doi.org/10.1109/ASONAM.2014.6921605","url":null,"abstract":"Given a newly posted question on a Question and Answer (Q&A) site, how long will it take until an answer is received? Does response time relate to factors about how the question asker composes their question? If so, what are those factors? With advances in social media and the Web, Q&A sites have become a major source of information for Internet users. Response time of a question is an important aspect in these sites as it is associated with the users' satisfaction and engagement, and thus the lifespan of these online communities. In this paper we study and estimate response time for questions in StackOverflow, a popular online Q&A forum where software developers post and answer questions related to programming. We analyze a long list of factors in the data and identify those that have clear relation with response time. Our key finding is that tag-related factors, such as their “popularity” (how often the tag is used) and the number of their “subscribers” (how many users can answer questions containing the tag), provide much stronger evidence than factors not related to tags. Finally, we learn models using the identified evidential features for predicting the response time of questions, which also demonstrate the significance of tags chosen by the question asker.","PeriodicalId":143584,"journal":{"name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","volume":"515 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132862725","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: 52

Activity profiles in online social media 在线社交媒体的活动概况

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921685

M. Atig, Sofia Cassel, Lisa Kaati, A. Shrestha

引用次数: 12

Associations between personal social network properties and mental health in cancer care 癌症护理中个人社会网络属性与心理健康的关系

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921682

Azadeh Hemmati, K. S. Chung

引用次数: 5

Detecting malicious clients in ISP networks using HTTP connectivity graph and flow information 利用HTTP连接图和流量信息检测ISP网络中的恶意客户端

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921576

Lei Liu, Sabyasachi Saha, R. Torres, Jianpeng Xu, P. Tan, A. Nucci, M. Mellia

{"title":"Detecting malicious clients in ISP networks using HTTP connectivity graph and flow information","authors":"Lei Liu, Sabyasachi Saha, R. Torres, Jianpeng Xu, P. Tan, A. Nucci, M. Mellia","doi":"10.1109/ASONAM.2014.6921576","DOIUrl":"https://doi.org/10.1109/ASONAM.2014.6921576","url":null,"abstract":"This paper considers an approach to identify previously undetected malicious clients in Internet Service Provider (ISP) networks by combining flow classification with a graph-based score propagation method. Our approach represents all HTTP communications between clients and servers as a weighted, near-bipartite graph, where the nodes correspond to the IP addresses of clients and servers while the links are their interconnections, weighted according to the output of a flow-based classifier. We employ a two-phase alternating score propagation algorithm on the graph to identify suspicious clients in a monitored network. Using a symmetrized weighted adjacency matrix as its input, we show that our score propagation algorithm is less vulnerable towards inflating the malicious scores of popular Web servers with high in-degrees compared to the normalization used in PageRank, a widely used graph-based method. Experimental results on a 4-hour network trace collected by a large Internet service provider showed that incorporating flow information into score propagation significantly improves the precision of the algorithm.","PeriodicalId":143584,"journal":{"name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134284539","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: 24

Influence inflation in online social networks 影响在线社交网络中的通货膨胀

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921622

Jianjun Xie, Chuang Zhang, Ming Wu, Yun Huang

引用次数: 5

Interactions around social networks matter: Predicting the social network from associated interaction networks 围绕社会网络的互动关系:从相关的互动网络预测社会网络

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921574

Mohammed Abufouda, K. Zweig

{"title":"Interactions around social networks matter: Predicting the social network from associated interaction networks","authors":"Mohammed Abufouda, K. Zweig","doi":"10.1109/ASONAM.2014.6921574","DOIUrl":"https://doi.org/10.1109/ASONAM.2014.6921574","url":null,"abstract":"Tie formation in social networks is driven by different motives that are not always apparent in the social network itself. These motives differ from one social network to another, depending on, e.g., the network's purpose, such as advice seeking or collaboration, and the effort it costs to establish a friendship relationship. A common factor that exists in almost all social networks is homophily: the tendency of social network members to connect to similar members. In this work, we look at the tie formation process in social networks from a different perspective where we consider not only a social network SN, but also a set of associated interaction networks Gn around it. We show, based on 6 social networks and in total 20 different associated interaction networks, that it is possible to predict the entire social network's structure to a satisfactory extent, only by knowing the structure of these interaction networks. As social networks are based on a voluntary relationship while some of the interaction relationships are at most semi-controllable for most members, e.g., being together in a team, this seems to indicate that whom we choose as a friend is also determined by whom we interact with.","PeriodicalId":143584,"journal":{"name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115849672","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: 5

Overlapping community detection in large networks from a data fusion view 基于数据融合的大型网络重叠社区检测

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921570

Le Yu, Bin Wu, Shuai Zhao, Bai Wang

引用次数: 1

Penalized partial least squares for multi-label data 对多标签数据进行偏最小二乘惩罚

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921635

Huawen Liu, Zongjie Ma, Jianmin Zhao, Zhonglong Zheng

引用次数: 0