Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015最新文献

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Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 Pub Date : 2015-08-25 DOI: 10.1145/2808797.2808861

Amira Soliman, Leila Bahri, B. Carminati, E. Ferrari, Sarunas Girdzijauskas

引用次数: 8

MuNeG

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 Pub Date : 2015-08-25 DOI: 10.1145/2808797.2808902

Adrian Popiel, Przemyslaw Kazienko, Tomasz Kajdanowicz

{"title":"MuNeG","authors":"Adrian Popiel, Przemyslaw Kazienko, Tomasz Kajdanowicz","doi":"10.1145/2808797.2808902","DOIUrl":"https://doi.org/10.1145/2808797.2808902","url":null,"abstract":"It is a common problem that cost of extracting data for network analysis could be very high. Also sometimes in the Internet is it hard to find graph with desired features such as node degree or clustering level. Because of that graph generators can than be very helpful. In the past bunch of models of such generators was developed: random graphs, small worlds and scale free networks. All of these generators were developed to quickly and efficiently create networks with desired parameters. However all of this models produce single layer graphs. Domain of multiplexes or multilayer graphs has not already been so deeply analysed, also because it is hard to collect multilayer data among real datasets or there is hard to define what kind of information layers exactly should represent. Proposed MuNeG - Multilayer Network Generator can produce, based on set of input parameters, multiplex networks - networks where each node has its counterpart in each layer. The carried out experiments proved that MuNeG graphs have different network and social parameters depends on input values. This feature gives user a very handful tool to generate multiplex networks on purpose of social network or complex network analysis. Generator features, input parameters and their influence on so called graph theory measures such as: node degree, average shortest path, diameter or clustering are described in the following article.","PeriodicalId":310373,"journal":{"name":"Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115523447","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

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 2015年IEEE/ACM社会网络分析与挖掘国际会议论文集

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 Pub Date : 1900-01-01 DOI: 10.1145/2808797

J. Pei, F. Silvestri, Jie Tang, Jiawei Han, F. Stokman, T. Abdessalem, Huan Liu, J. Rokne, R. Alhajj, Matthieu Latapy, Alvin Chin, Z. Smoreda, Jiabin Zhao, Mehmet Kaya, I. Ting, Xingquan Zhu, V. Batagelj, Sun-Ki Chai, Shou-de Lin, R. Missaoui, G. Ragozini, Nitin Agarwal, C. Chelmis, Hubert Naacke, O. Shafiq, Ying Ding, D. Pedreschi, P. Senellart, Guandong Xu, Modou Gueye, K. Kianmehr, T. Ozyer, K. Zweig, Mohammed Abufouda, J. Kawash, Amin Mantrach, Mustafa Mollamahmut, Shang Gao, P. Karampelas, Ahmad Kassem, Wookey Lee, Matteo Magnani, Chedy Raissi, Konstantinos F. Xylogiannopoulos, Feida Zhu, Min-Yuh Day, Omar Addam, T. Jarada, Salim Afra, Alper Aksaç, Ibrahim Karakira, A. Sarhan

{"title":"Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015","authors":"J. Pei, F. Silvestri, Jie Tang, Jiawei Han, F. Stokman, T. Abdessalem, Huan Liu, J. Rokne, R. Alhajj, Matthieu Latapy, Alvin Chin, Z. Smoreda, Jiabin Zhao, Mehmet Kaya, I. Ting, Xingquan Zhu, V. Batagelj, Sun-Ki Chai, Shou-de Lin, R. Missaoui, G. Ragozini, Nitin Agarwal, C. Chelmis, Hubert Naacke, O. Shafiq, Ying Ding, D. Pedreschi, P. Senellart, Guandong Xu, Modou Gueye, K. Kianmehr, T. Ozyer, K. Zweig, Mohammed Abufouda, J. Kawash, Amin Mantrach, Mustafa Mollamahmut, Shang Gao, P. Karampelas, Ahmad Kassem, Wookey Lee, Matteo Magnani, Chedy Raissi, Konstantinos F. Xylogiannopoulos, Feida Zhu, Min-Yuh Day, Omar Addam, T. Jarada, Salim Afra, Alper Aksaç, Ibrahim Karakira, A. Sarhan","doi":"10.1145/2808797","DOIUrl":"https://doi.org/10.1145/2808797","url":null,"abstract":"Identity and reputation drive some of the most important relational decisions we make online: Who to follow or link to, whose information to trust, whose opinion to rely on when choosing a product or service, and whose content to consume and share. Yet, we know very little about the dynamics of social influence and relational reputation and how they affect our decision making. Sinan will describe a series of large scale experiments that explore the behavioral dynamics catalyzed by social influence, identity and reputation online. He will explore some of the implications for bias in online ratings, social advertising and the ability to generate cascades of behavior through peer to peer influence in networks. Sinan will argue that new research on social influence and relational reputation could help guide our platform design and social policy decisions in light of the rising importance of peer effects and reputation online.","PeriodicalId":310373,"journal":{"name":"Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124224369","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