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Predicting Reciprocity in Social Networks

Justin Cheng, Daniel M. Romero, Brendan Meeder, Jon Kleinberg
2011 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing  
In social media settings where users send messages to one another, the issue of reciprocity naturally arises: does the communication between two users take place only in one direction, or is it reciprocated  ...  Moreover, we find that reciprocity prediction forms interesting contrasts with earlier network prediction tasks, including link prediction, as well as the inference of strengths and signs of network links  ...  ACKNOWLEDGMENT This work was supported in part by a Google Research Grant, a Yahoo! Research Alliance Grant, and NSF grants IIS-0910664, CCF-0910940, and IIS-1016099.  ... 
doi:10.1109/passat/socialcom.2011.110 dblp:conf/socialcom/ChengRMK11 fatcat:dbzp45flordmra7243zbf365zm

Reciprocal and Heterogeneous Link Prediction in Social Networks [chapter]

Xiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Paul Compton, Ashesh Mahidadia
2012 Lecture Notes in Computer Science  
Link prediction is a key technique in many applications in social networks, where potential links between entities need to be predicted.  ...  However, a challenging problem in link prediction is that of heterogeneous and reciprocal link prediction, such as accurate prediction of matches on an online dating site, jobs or workers on employment  ...  A heterogeneous and reciprocal link prediction problem (ReHeLP ) is the prediction of links in heterogeneous and reciprocal social networks.  ... 
doi:10.1007/978-3-642-30220-6_17 fatcat:2cc3s3j74vbbbk7vrev2uvzcq4

Learning to predict reciprocity and triadic closure in social networks

Tiancheng Lou, Jie Tang, John Hopcroft, Zhanpeng Fang, Xiaowen Ding
2013 ACM Transactions on Knowledge Discovery from Data  
We study how links are formed in social networks.  ...  In particular, we focus on investigating how a reciprocal (two-way) link, the basic relationship in social networks, is developed from a parasocial (one-way) relationship and how the relationships further  ...  CONCLUSION In this article, we study the novel problem of predicting reciprocity and triadic closure in social networks.  ... 
doi:10.1145/2499907.2499908 fatcat:j5snedzexze2rk2fxbqloqk7i4

Time-aware reciprocity prediction in trust network

Xu Feng, Jichang Zhao, Zhiwen Fang, Ke Xu
2014 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)  
Study of reciprocity helps to find influential factors for users building relationships, which greatly facilitates the social behavior understanding in trust networks.  ...  Based on the empirical analysis, we redefine the reciprocity prediction problem as a learning task specific to each pair of users with different reciprocal delays.  ...  [16] propose a link predictor for social network, which could identify important features in predicting links.  ... 
doi:10.1109/asonam.2014.6921589 dblp:conf/asunam/FengZFX14 fatcat:j4i5nyf4j5f23hi6hhtz4o4jm4

Agenda Trending: Reciprocity and the Predictive Capacity of Social Networking Sites in Intermedia Agenda Setting across Topics over Time

Jacob Groshek, Megan Clough Groshek
2013 Media and Communication  
In addition, this study examines social intermedia agenda setting topically and across time within social networking sites, and in so doing, adds a vital understanding of where traditional media, online  ...  Additional results further suggest important topical and event-oriented limitations upon the predictive capacity of social networking sites to shape traditional media agendas over time.  ...  trends and shares on social networking sites-has not yet come to drastically alter agendas of traditional media in a regularly predictive manner.  ... 
doi:10.17645/mac.v1i1.71 fatcat:pnosk3k4g5e2nmq6dqatuog5le

Reciprocal versus Parasocial Relationships in Online Social Networks [article]

Neil Zhenqiang Gong, Wenchang Xu
2014 arXiv   pre-print
In this paper, we bridge this gap using a novel large-scale Google+ dataset crawled by ourselves as well as one publicly available social network dataset.  ...  However, the impacts of reciprocal edges linking ordinary and popular users on the network structures increase slowly as the social networks evolve.  ...  [15] found that, in a Twitter follower network, network structure, users' social status and interactions influence the formation of reciprocal edges. Predicting reciprocal edges: Cheng et al.  ... 
arXiv:1302.6309v4 fatcat:vmp2yhpsbvatja537xzmksbdgi

Reciprocal versus parasocial relationships in online social networks

Neil Zhenqiang Gong, Wenchang Xu
2014 Social Network Analysis and Mining  
In this paper, we bridge this gap using a novel large-scale Google+ dataset 1 crawled by ourselves as well as one publicly available social network dataset.  ...  However, the impacts of reciprocal edges linking ordinary and popular users on the network structures increase slowly as the social networks evolve.  ...  [15] found that, in a Twitter follower network, network structure, users' social status and interactions influence the formation of reciprocal edges. Predicting reciprocal edges: Cheng et al.  ... 
doi:10.1007/s13278-014-0184-6 fatcat:3lpwlvlvdzhwrhhyixfjg3lhp4

Understanding and Predicting Delay in Reciprocal Relations

Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu
2018 Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18  
High reciprocity has been widely observed in many directed social media networks such as following relations in Twitter and Tumblr.  ...  Therefore, reciprocal relations between users are often regarded as a basic mechanism to create stable social ties and play a crucial role in the formation and evolution of networks.  ...  of social networks.  ... 
doi:10.1145/3178876.3186076 dblp:conf/www/LiTWWC018 fatcat:qh4glmga2nc3ncz2eu4435olii

Predicting interactions in online social networks

Michael Steurer, Christoph Trattner
2013 Proceedings of the 4th International Workshop on Modeling Social Media - MSM '13  
However, if we try to predict reciprocal message communication between users, social network features seem to be superior.  ...  As our results reveal, position data features are a great source to predict interacts between users in online social networks and outperform social network features significantly.  ...  -in online social networks can be predicted using both social network and position data.  ... 
doi:10.1145/2463656.2463661 dblp:conf/ht/SteurerT13 fatcat:z2xrz56va5ds7nqse2m7boyaai

The narrow gap between norms and cooperative behaviour in a reindeer herding community

Matthew Gwynfryn Thomas, Bård-Jørgen Bårdsen, Marius Warg Næss
2018 Royal Society Open Science  
We thank our participants for their time and hospitality, and Ida Ophaug for her assistance in the field.  ...  Reciprocity and assortment in herders' social networks: (a) reciprocity and (b) assortment in the self-reported advice, help and sharing networks, and the gift network.  ...  Predicted probabilities of being named in the cooperation network.  ... 
doi:10.1098/rsos.171221 pmid:29515842 pmcid:PMC5830731 fatcat:fvxtnkqrfrh5zgg63ofdafadwm

A Comparison of Fundamental Network Formation Principles Between Offline and Online Friends on Twitter [chapter]

Felicia Natali, Feida Zhu
2016 Lecture Notes in Computer Science  
We consider three fundamental principles of network formation proposed by Schaefer et al.: reciprocity, popularity, and triadic closure.  ...  Although our algorithm loses 6 % to Xiewei's random walk algorithm in terms of f-score, it still performs well (f-score above 70 %), and it reduces prediction time complexity from O(n 2 ) to O(n).  ...  Introduction Network formation has been studied in both the offline social network and the online social network.  ... 
doi:10.1007/978-3-319-28361-6_14 fatcat:gf5qamo5kjhabkj6f3tlxzhmcq

Functional connectivity of specific resting-state networks predicts trust and reciprocity in the trust game

Gabriele Bellucci, Tim Hahn, Gopikrishna Deshpande, Frank Krueger
2018 Cognitive, Affective, & Behavioral Neuroscience  
Different subnetworks of the default-mode network associated with mentalizing exclusively predicted trust and reciprocity.  ...  Moreover, reciprocity was further predicted by the frontoparietal and cingulo-opercular networks associated with cognitive control and saliency, respectively.  ...  Therefore, the contribution of single RSFC networks in predicting trusting and reciprocal behaviors in the same TG version to date remains elusive.  ... 
doi:10.3758/s13415-018-00654-3 pmid:30357662 fatcat:2ok5loq2wzczxe2gjscdtmfc5y

Reciprocal Learning Networks for Human Trajectory Prediction [article]

Hao Sun, Zhiqun Zhao, Zhihai He
2020 arXiv   pre-print
a new method for network prediction, called reciprocal attack for matched prediction.  ...  Both forward and backward trajectories follow the same social norms and obey the same physical constraints with the only difference in their time directions.  ...  Acknowledgement This work was supported in part by National Science Foundation under grants 1647213 and 1646065.  ... 
arXiv:2004.04340v1 fatcat:bz7awbchnfct5jsbc2za75ucbu

Status and friendship

Christina Brandt, Jure Leskovec
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
We study the differences and similarities in edge creation mechanisms in these social networks. We find large differences in edge reciprocation rates and overall structure of the underlying networks.  ...  We examine the evolution of five social networking sites where complex networks of social relationships developed: Twitter, Flickr, DeviantArt, Delicious, and Yahoo! Answers.  ...  A natural question, then, is: In what aspects do various online social networks differ and why?  ... 
doi:10.1145/2567948.2577327 dblp:conf/www/BrandtL14 fatcat:4c4xrzcmdjdc5lwada4wt3sgam

Dynamics of trust reciprocation in multi-relational networks

Ayush Singhal, Karthik Subbian, Jaideep Srivastava, Tamara G. Kolda, Ali Pinar
2013 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13  
in terms of social connections.  ...  Understanding the dynamics of reciprocation is of great interest in sociology and computational social science.  ...  Hansen [7] reveals that social location and kinship improves reciprocation of interaction in social networks for child care.  ... 
doi:10.1145/2492517.2555242 dblp:conf/asunam/SinghalSSKP13 fatcat:bzklflwbsvft3ntsprgbx5t4ny
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