全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

社交网络的有效信息量研究:基于节点强度的分析

Keywords: 社交网络,有效信息量,节点强度,邓巴数字

Full-Text   Cite this paper   Add to My Lib

Abstract:

为了研究社交网络中的有效信息量,结合节点度分布和节点强度的概念,提出了一种社交网络中有效信息量的分析方法.首先,基于邓巴数字的理论,提出有效信息量函数,并结合节点强度来描述社交网络节点的有效信息量的变化趋势.其次,通过对Twitter社交图表的研究,得到社交网络的节点度分布函数,并结合有效信息量函数,对给定的社交网络有效信息量进行分析和量化.最后,分析社交网络系统有效信息量的局限和特征,使社交网络的用户能更好地获得自己所需要的信息.研究证明:现在社交网络中的邓巴数字处于210,220,已经超出了150定律,同时,社交网络系统有效信息量也趋于一个特定的值.

References

[1]  ZHOU Jian-li, ZHANG Ai-hua, DUAN Jing. The effect of strength of social relation on applications usage intention in social network [ J]. China Science and Technology Information , 2013 ( 23 ): 80-82. ( in
[2]  Chinese)
[3]  韩忠明, 苑丽玲, 杨伟杰, 等. 加权社会网络中重要节点发现算法[J]. 计算机应用, 2013, 33(6): 1553-1557.
[4]  HAN Zhong-ming, YUAN Li-ling, YANG Wei-jie, et al.Algorithm for discovering influential nodes in weighted social networks[J]. Journal of Computer Applications,2013, 33(6): 1553-1557. (in Chinese)
[5]  张朝旭, 刘云. 基于关系的社交网络感知模型研究[J]. 铁路计算机应用, 2012, 21(12): 4-6.
[6]  ZHANG Zhao-xu, LIU Yun. Research on ties-based social network awareness medel[J]. Railway Computer Application, 2012, 21(12): 4-6. (in Chinese)
[7]  MISLOVE A, MARCON M, GUMMADI K P, et al.Measurement and analysis of online social networks[C]Proceedings of the 7th ACM SIGCOMM Conference on Internet Measurement. New York: ACM, 2007: 29-42.
[8]  GJOKA M, KURANT M, BUTTS C T, et al. A walk in facebook: uniform sampling of users in online social networks[J]. arXiv preprint arXiv: 0906. 0060, 2009.
[9]  JO G. 250 law [DB/ OL]. [2013-09-11]. http:blog. 163. com/ ceofeng01@126/ blog.
[10]  VISWANATH B, MISLOVE A, CHA M, et al. On the evolution of user interaction in facebook [ C ] Proceedings of the 2nd ACM Workshop on Online Social Networks. New York: ACM, 2009: 37-42.
[11]  TRAUD A L, KELSIC E D, MUCHA P J, et al. Comparing community structure to characteristics in online collegiate social networks[J]. SIAM Review, 2011, 53(3): 526-543.
[12]  LEWIS K, KAUFMAN J, GONZALEZ M, et al. Tastes,ties, and time: a new social network dataset using Facebook. com[J]. Social Networks, 2008, 30 (4):330-342.
[13]  张艺. 基于复杂网络理论的社交网络研究[D]. 杭州:浙江大学计算机学院, 2012.
[14]  ZHANG Yi. A research of social network based on complex network theory [ D]. Hangzhou: College of Computer Science, Zhejiang University, 2012. ( in Chinese)
[15]  Dunbar's number[DB/ OL]. [2014-09-10]. http:en. Wikipedia. org/ wiki/ Dunbar's number.
[16]  GONCALVE B, PERRA N, VESPIGNANI A. Validation of dunbar's number in Twitter conversations [ J]. arXiv preprint arXiv: 1105. 5170, 2011.
[17]  de RUITE J, WESTON G, LYON S M. Dunbar's number:group size and brain physiology in humans reexamined[J].American Anthropologist, 2011, 113(4): 557-568.
[18]  WELLMAN B. Is Dunbar's number up? [ J]. British Journal of Psychology, 2012, 103(2): 174-176.
[19]  LAM S T K, RIEDL J. Are our online “friends冶really friends? [J]. Computer, 2012, 45(1): 91-93.
[20]  钱大千, 张晓东. 基于SNS 社交网络的增长模型[J].合肥工业大学学报: 自然科学版, 2010, 33(8): 1264-1267.
[21]  QIAN Da-qian, ZHANG Xiao-dong. A growth model for social network sites [J]. Journal of Hefei University of Technology: Natural Science Edition, 2010, 33 ( 8 ):1264-1267. (in Chinese)
[22]  JANSSEN J, HURSHMAN M, KALYANIWALLA N. Model selection for social networks using graphlets[J].Internet Mathematics, 2012, 8(4): 338-363.
[23]  李晓丽, 许可, 宋俊德. 新浪微博snow ball 采样算法偏差研究[J]. 软件, 2012, 33(11): 228-230.
[24]  LI Xiao-li, XU Ke, SONG Jun-de. Bias of snow ball sampling on Sina-Micoblog[J]. Software, 2012, 33(11):228-230. (in Chinese)
[25]  李陟, 刘凤玉, 张宏. 一种应用于社交网络中的时延容忍路由协议[J]. 计算机应用研究, 2010 (12): 4732-4734.
[26]  LI She, LIU Feng-yu, ZHANG Hong. Delay tolerant routing protocol in social networks [ J ]. Application Research of Computers, 2010 (12): 4732-4734. ( in Chinese)
[27]  ALIAKBARY S, HABIBI J, MOVAGHAR A. Quantification and comparison of network degree distributions [ J]. arXiv preprint arXiv: 1307. 3625,
[28]  2013.
[29]  GRISI F, OSSADA R, FERREIRA F, et al. Scale-free networks with the same degree distribution: different structural properties[J]. Physics Research International, 2013, Article ID: 234180.
[30]  ZHANG Y, KOLAZCYK E D, SPENCER B D. Estimating network degree distributions under sampling: an inverse problem, with applications to monitoring social media networks[J]. arXiv Preprint arXiv: 1305. 4977,
[31]  2013.
[32]  张彦超, 刘云, 张海峰, 等. 基于在线社交网络的信息传播模型[J]. 物理学报, 2011, 60(5): 60-66.
[33]  ZHANG Yan-chao, LIU Yun, ZHANG Hai-feng, et al. Information dissemination model based on social network
[34]  [J]. Acta Phys Sin, 2011, 60 ( 5 ): 60-66. ( in Chinese)
[35]  MUCHNIK L, PEI S, PARRA L C, et al. Origins of power-law degree distribution in the heterogeneity of human activity in social networks[J]. Scientific Reports,2013, 3(19): 68-73.
[36]  徐焱. 社交网络拓扑结构分析及算法研究[D]. 郑州:华北水利水电大学信息工程学院, 2013.
[37]  XU Yan. Topology structure analysis and algorithm on social network [D]. Zhengzhou: College of Information Engineering, North China University of Water Sesources and Electric Power, 2013. (in Chinese)
[38]  周建利, 张爱华, 段婧. 社会关系强度对社交网络中应用接受意愿的影响研究[J]. 中国科技信息, 2013(23): 80-82.
[39]  李东亮. 基于无标度网络的P2P 研究[D]. 合肥: 安徽大学计算机科学与技术学院, 2010.
[40]  LI Dong-liang. Research of P2P based on scale-free network [D]. Hefei: College of Computer Science and Technology, Anhui University, 2010. (in Chinese)
[41]  潘灶烽, 汪小帆, 李翔. 可变聚类系数无标度网络上的谣言传播仿真研究[J]. 系统仿真学报, 2006, 18(8): 2346-2348.
[42]  PAN Zao-feng, WANG Xiao-fan, LI Xiang. Simulation investigation on rumor spreading on scale-free network with tunable clustering [ J ]. Journal of System Simulation, 2006, 18(8): 2346-2348. (in Chinese)
[43]  ZHAO J, WU J, LIU G, et al. Being rational or aggressive? a revisit to dunbar's number in online social networks[J]. arXiv preprint arXiv: 1011. 1547, 2010.
[44]  NAZIR A, RaAZA S, GUPTA D, et al. Network level footprints of facebook applications[C] Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement Conference. New York: ACM, 2009: 63-75.
[45]  NANIR A, RAZA S, CHUAH C N. Unveiling facebook: a measurement study of social network based applications [C]Proceedings of the 8th ACM SIGCOMM Conference on Internet Measurement. New York: ACM, 2008: 43-56.
[46]  PUJOL J M, ERRAMILLI V, SIGANOS G, et al. The little engine ( s ) that could: scaling online social networks[J]. ACM SIGCOMM Computer Communication Review, 2011, 41(4): 375-386.
[47]  AGARWAL S. Social networks as Internet barometers for optimizing content delivery networks[C]Proc 3rd IEEE Int Symp on Advanced Networks and Telecommunication Systems. New York: IEEE, 2009.
[48]  薄辉. 社区发现技术的研究与实现[D]. 北京: 北京交通大学计算机学院, 2009.
[49]  BO Hui. Research and realization of community detection[D]. Beijing: College of Computer Science, Beijing Jiaotong University, 2009. (in Chinese)

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133