2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)最新文献_第2页

Alike people, alike interests? A large-scale study on interest similarity in social networks 相似的人，相同的兴趣?社交网络中兴趣相似性的大规模研究

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921631

Xiao Han, Leye Wang, Soochang Park, Ángel Cuevas, N. Crespi

{"title":"Alike people, alike interests? A large-scale study on interest similarity in social networks","authors":"Xiao Han, Leye Wang, Soochang Park, Ángel Cuevas, N. Crespi","doi":"10.1109/ASONAM.2014.6921631","DOIUrl":"https://doi.org/10.1109/ASONAM.2014.6921631","url":null,"abstract":"This paper presents a comprehensive empirical study on the correlations between users' interest similarity and various social features across three interest domains (i.e., movie, music and TV). This study relies on a large dataset, containing 479, 048 users and 5, 263, 351 user-generated interests, captured from Facebook. We identify the social features from three types of the users' information - demographic information (e.g., age, gender, location), social relations (i.e., friendship), and users' interests. The results reveal that the interest similarity follows the homophily principle. Particularly, the results show that two users are more likely to be alike in their interests 1) if they exhibit more similarity in their demographic characteristics (e.g., similar age, same gender, or close to each other geographically), or 2) if they are more intimate in their friendship, or 3) if they present a higher average interest individuality (i.e., a measurement for estimating the personalized characteristics of a user's interests). The empirical observations could be exploited to infer how two users are alike in their interests according to the social features, which could be further harnessed by various practical applications and services, such as recommendation system and advertisement service.","PeriodicalId":143584,"journal":{"name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","volume":"63 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":"116280713","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: 27

Dynamic feedback mechanism for maximizing interaction in online social network services 在线社交网络服务互动最大化的动态反馈机制

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921684

Kyudong Park, Seungjae Oh, Heung-Chang Lee, H. So

{"title":"Dynamic feedback mechanism for maximizing interaction in online social network services","authors":"Kyudong Park, Seungjae Oh, Heung-Chang Lee, H. So","doi":"10.1109/ASONAM.2014.6921684","DOIUrl":"https://doi.org/10.1109/ASONAM.2014.6921684","url":null,"abstract":"Online social network services have embedded social rating systems that users can evaluate and share the quality of content such as the “Like” button for Facebook. This rating system is an important mechanism in social interaction since the system can affect the degree of user connection and the spread of information sharing. Most of such social rating systems, however, are based on the fixed feedback mechanism, where users cannot communicate their emotion and evaluation toward certain content in a real-time manner. In this research, we propose a novel feedback method that dynamically updates rating scores in social network services to give users immediate feedback. To confirm the usefulness of dynamic feedback mechanism compared to the current static feedback mechanism, we conducted an exploratory experiment with 46 participants in a simulated Facebook situation. Since types of content matter for the nature and degree of social interaction, we assumed that the dynamic feedback mechanism might yield different effects to different types of content. Hence, in the experiment, we included three different types of content, namely a) user-generated content, b) news article, and c) commercial advertisement, to examine the interaction effect between feedback mechanism and content types. The dependent variable was the number of “Like” clicks. The results indicate that the dynamic feedback type received significantly higher “Like” clicks than the fixed feedback type. Further, there was a significant interaction effect between feedback types and content types. The dynamic feedback mechanism was the most effective for the user-generated content type.","PeriodicalId":143584,"journal":{"name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","volume":"40 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":"127913176","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

Empirical study on overlapping community detection in question and answer sites 问答网站重叠社区检测的实证研究

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921608

Zide Meng, Fabien L. Gandon, C. Faron-Zucker, Ge Song

引用次数: 10

Are communities as strong as we think? 社区真的像我们想象的那么强大吗?

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921603

M. A. Alim, Alan Kuhnle, M. Thai

引用次数: 2

Estimating the size of hidden data sources by queries 通过查询估计隐藏数据源的大小

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921664

Yan Wang, Jie Liang, Jianguo Lu

引用次数: 2

Research and implementation of algorithm for short videos recommendation 短视频推荐算法的研究与实现

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921677

Lai Jiang, Xiangling Fu

引用次数: 1

Start-up firms' networks for innovation: Embedded in entrepreneurs' networks in private and public spheres 创业公司的创新网络:嵌入在私人和公共领域的企业家网络中

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921560

K. W. Jensen, T. Schøtt

{"title":"Start-up firms' networks for innovation: Embedded in entrepreneurs' networks in private and public spheres","authors":"K. W. Jensen, T. Schøtt","doi":"10.1109/ASONAM.2014.6921560","DOIUrl":"https://doi.org/10.1109/ASONAM.2014.6921560","url":null,"abstract":"We develop a model of how a start-up firm's networking for innovation is embedded in the personal network around the entrepreneur. Using data from the Global Entrepreneurships Monitor including 11,792 start-ups from 38 countries surveyed in 2012-13, we examine how entrepreneurs' networking in private and public spheres is impacting (1) innovation (2) firms' collaborative networking, and (3) the effectiveness of firms' collaborative networking for innovation. The analyses show that entrepreneurs' networking in the public sphere has a direct positive impact on start-ups' innovation, while networking in the private sphere reduces innovation. Firms' networking for innovation intensifies with larger public sphere networks around the entrepreneurs but decreases with larger private sphere networking. Also, large private sphere networks around the entrepreneurs decrease effectiveness of networking for innovation. These findings refine our knowledge of the functioning of start-up firms' networking for innovation, especially the positive and negative imprints of the entrepreneurs' networking in the public and private spheres.","PeriodicalId":143584,"journal":{"name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","volume":"18 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":"117017607","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: 0

Geographic focus detection using multiple location taggers 使用多个位置标记器进行地理焦点检测

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921618

Philipp Berger, Patrick Hennig, Dustin Glaeser, Hauke Klement, C. Meinel

引用次数: 1

Do neighbor buddies make a difference in reblog likelihood? An analysis on SINA Weibo data 邻居朋友对博客的转载可能性有影响吗?新浪微博数据分析

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921585

Lumin Zhang, J. Pei, Yan Jia, Bin Zhou, Xiang Wang

{"title":"Do neighbor buddies make a difference in reblog likelihood? An analysis on SINA Weibo data","authors":"Lumin Zhang, J. Pei, Yan Jia, Bin Zhou, Xiang Wang","doi":"10.1109/ASONAM.2014.6921585","DOIUrl":"https://doi.org/10.1109/ASONAM.2014.6921585","url":null,"abstract":"Reblogging, also known as retweeting in Twitter parlance, is a major type of activities in many online social networks. Although there are many studies on reblogging behaviors and potential applications, whether neighbors who are well connected with each other (called “buddies” in our study) may make a difference in reblog likelihood has not been examined systematically. In this paper, we tackle the problem by conducting a systematic statistical study on a large SINA Weibo data set, which is a sample of 135, 859 users, 10, 129, 028 followers, and 2, 296, 290, 930 reblog messages in total. To the best of our knowledge, this data set has more reblog messages than any data sets reported in literature. We examine a series of hypotheses about how essential neighborhood structures may help to boost the likelihood of reblogging, including buddy neighbors versus buddyless neighbors, traffic between buddy neighbors, activeness (i.e., the total number of blog messages a user sends), and the number of buddy triangles a user participates in. Our empirical study discloses several interesting phenomena that are not reported in literature, which may imply interesting and valuable new applications.","PeriodicalId":143584,"journal":{"name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","volume":"34 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":"123992785","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

Competition between real-life friends and virtual-life friends 现实朋友和虚拟朋友之间的竞争

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI: 10.1109/ASONAM.2014.6921673

Bin Fang, Q. Ye

引用次数: 0