A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Predicting Reciprocity in Social Networks
2011
2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing
Preserved Fulltext
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]
2012
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2013
ACM Transactions on Knowledge Discovery from Data
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
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
2014
2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2013
Media and Communication
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
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]
2014
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
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
2014
Social Network Analysis and Mining
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
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
2018
Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2017 pre-print arXiv:1703.01393v2 fatcat:nnegb2yeffhu3myfjx3syzdthmOther Versions
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
2013
Proceedings of the 4th International Workshop on Modeling Social Media - MSM '13
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2018
Royal Society Open Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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]
2016
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2018
Cognitive, Affective, & Behavioral Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2014
Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2013
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 110,965 results