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Identifying unreliable sources of skill and competency information

Maryam Fazel-Zarandi, Mark S. Fox
2013 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13  
In this paper, we present an approach based on social network analysis for identifying unreliable sources of competency information.  ...  In a previous paper, we developed an ontology for skills and competencies and modeled and analyzed the various sources of information used to derive the belief in an individual's level of competency.  ...  An advantage of the network perspective is that it allows the study of these effects through the consideration of the structure of relationships in the entire network.  ... 
doi:10.1145/2492517.2500268 dblp:conf/asunam/Fazel-ZarandiF13 fatcat:5l74qkzfpjb5zbr6mdurec6osu

Multiplex Graph Association Rules for Link Prediction [article]

Michele Coscia, Michael Szell
2020 arXiv   pre-print
Link prediction is the branch of network analysis allowing us to forecast the future status of a network: which new connections are the most likely to appear in the future?  ...  We derive such rules by identifying all frequent patterns in a network via multiplex graph mining, and then score each unobserved link's likelihood by finding the occurrences of each rule in the original  ...  This approach has several advantages over the current state of the art in multiplex link prediction, which are the main contributions of the paper: Higher order structures.  ... 
arXiv:2008.08351v1 fatcat:kkdh56qo4fhxhbjpdbmnbxkd7m

Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process [article]

Peiyuan Suny, Jianxin Li, Yongyi Mao, Richong Zhang, Lihong Wang
2018 arXiv   pre-print
The results show that our model is more effective in terms of uncovering the multiplex network structure.  ...  We propose the Multiplex Diffusion Model (MDM) which incorporates the multivariate marked Hawkes process and topic model to infer the multiplex structure of social network.  ...  We evaluate the performance of inferring the multiplex network structure of our model.  ... 
arXiv:1809.07688v1 fatcat:4svludgdg5afbj7u4lkmg3vcfi

Using Mining Predict Relationships on the Social Media Network: Facebook (FB)

Dr. Mamta, Meenu Chopra
2015 International Journal of Advanced Research in Artificial Intelligence (IJARAI)  
The objective of this paper is to study on the most famous social networking site Facebook and other online social media networks (OSMNs) based on the notion of relationship or friendship.  ...  This paper discussed the methodology which can used to conduct the analysis of the social network Facebook (FB) and also define the framework of the Web Mining platform.  ...  Our focus in this paper is to creep the little part of the social network graph like FB and to figure out the structural characteristics of the crawled data.  ... 
doi:10.14569/ijarai.2015.040409 fatcat:wu6sla756rhvtipbonc65pf3rm

A multilayer approach to multiplexity and link prediction in online geo-social networks

Desislava Hristova, Anastasios Noulas, Chloë Brown, Mirco Musolesi, Cecilia Mascolo
2016 EPJ Data Science  
In this work, we study the geo-social properties of multiplex links, spanning more than one social network and apply their structural and interaction features to the problem of link prediction across social  ...  who are connected on just one of the social networks.  ...  when the number of media channels used to communicate between two people is greater (higher multiplexity).  ... 
doi:10.1140/epjds/s13688-016-0087-z pmid:32355599 pmcid:PMC7175673 fatcat:z3jsbvh4pzaqhlkga7b354csze

Comparing World City Networks by Language: A Complex-Network Approach

Wenjia Zhang, Jiancheng Zhu, Pu Zhao
2021 ISPRS International Journal of Geo-Information  
City networks are multiplex and diverse rather than being regarded as part of a single universal model that is valid worldwide.  ...  These findings demonstrate the importance of scrutinizing multiplex WCNs in different cultures and languages as well as discussing mesoscale structures in comparative WCN studies.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi10040219 fatcat:bs6wdb3j3zbknjz4phkq6ldqmy

Connecting dream networks across cultures

Onur Varol, Filippo Menczer
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
The community structure of different networks highlights cultural similarities and differences.  ...  Structural correlations across networks point out relationships between cultures. Similarities between network communities are also investigated by analysis of sentiment in symbol interpretations.  ...  The structural properties of the resulting networks are summarized in Table 1 . The networks are of course very different, however they display some structural similarities.  ... 
doi:10.1145/2567948.2580073 dblp:conf/www/VarolM14 fatcat:6yp4ly4wufatbflmrzmof5jhbe

Scalable Multiplex Network Embedding

Hongming Zhang, Liwei Qiu, Lingling Yi, Yangqiu Song
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
In this paper, we present a scalable multiplex network embedding model to represent information of multi-type relations into a unified embedding space.  ...  On both tasks, our model achieved better or comparable performance compared to current state-of-the-art models with less memory use.  ...  Some other embedding models focus on specific kinds of structures in the network.  ... 
doi:10.24963/ijcai.2018/428 dblp:conf/ijcai/ZhangQYS18 fatcat:6mahxklxajhnbk4bpjphekmsf4

Analysis of emergency physicians' Twitter accounts

Ileana Lulic, Ivor Kovic
2012 Emergency Medicine Journal  
The nature of interorganizational communication research lends itself well to the application of network theory in order to better understand the structure and flow of messages between organizational entities  ...  NodeXL is a social network analysis program used for crawling and collecting online network data .  ... 
doi:10.1136/emermed-2012-201132 pmid:22634832 fatcat:g6p64jiitra4nimkg5ik37jnl4

Efficient exploration of multiplex networks

Federico Battiston, Vincenzo Nicosia, Vito Latora
2016 New Journal of Physics  
We analyse the effect of the structure of the multiplex network on the steady-state behaviour of the walkers, and we find that heterogeneous degree distributions as well as the presence of inter-layer  ...  Here we introduce and study biased random walks on multiplex networks, graphs where the nodes are related through different types of links organised in distinct and interacting layers, and we provide analytical  ...  In many real-world application scenarios, e.g. in crawling the structure of online social networked systems, it is important to guarantee that for long enough times the walk will end up visiting all the  ... 
doi:10.1088/1367-2630/18/4/043035 fatcat:nwmueyeuvzempne6zlummhxzrm

Multigraph Sampling of Online Social Networks

Minas Gjoka, Carter T. Butts, Maciej Kurant, Athina Markopoulou
2011 IEEE Journal on Selected Areas in Communications  
State-of-the-art techniques for probability sampling of users of online social networks (OSNs) are based on random walks on a single social relation (typically friendship).  ...  We demonstrate the benefits of our approach through (i) simulation in synthetic graphs, and (ii) measurements of Last.fm-an Internet website for music with social networking features.  ...  "community" in the network.  ... 
doi:10.1109/jsac.2011.111012 fatcat:zjch723vwbeqjdjng2etg7jaze

Link prediction in multiplex online social networks

Mahdi Jalili, Yasin Orouskhani, Milad Asgari, Nazanin Alipourfard, Matjaž Perc
2017 Royal Society Open Science  
As an example, we consider a multiplex network of Twitter (as a microblogging service) and Foursquare (as a location-based social network).  ...  The connectivity information of the two layers is used to predict the links in Foursquare network.  ...  To construct this multiplex network, we crawled 45 000 users in both Twitter and Foursquare.  ... 
doi:10.1098/rsos.160863 pmid:28386441 pmcid:PMC5367313 fatcat:wfdpelp3y5fuxoqfobz7g5niyi

Understanding Malicious Accounts in Online Political Discussions: A Multilayer Network Approach

Nhut-Lam Nguyen, Ming-Hung Wang, Yu-Chen Dai, Chyi-Ren Dow
2021 Sensors  
Moreover, community analysis was performed to discover prominent communities and their characteristics for each layer of the network.  ...  We modeled the discussion network as a multilayer network and used various centrality measures to sense influential malicious accounts not only in a single-layer but also across different layers of the  ...  Data Availability Statement: The data underlying this article will be shared on reasonable request to the corresponding author. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21062183 pmid:33804744 pmcid:PMC8004046 fatcat:lktflc5t2bdk7aoiovt4vqd4ny

Mapping the international health aid community using web data

Michele Coscia, Katsumasa Hamaguchi, Maria Elena Pinglo, Antonio Giuffrida
2018 EPJ Data Science  
In this paper, we use web crawling to collect information about the activities of international aid organizations on different health-related topics and network analysis to depict this complex system of  ...  Finally, we perform simulations, showing that messages originating from different organizations in the international aid community can have a different reach.  ...  Acknowledgements We thank Cristano Buizza for the help with data on the intensity of the World Bank's support to health services. We thank Jos Vaessen for valuable comments.  ... 
doi:10.1140/epjds/s13688-018-0141-0 fatcat:kigth3cb6jedfhflr3pbzkwkiu

Multigraph Sampling of Online Social Networks [article]

Minas Gjoka and Carter T. Butts and Maciej Kurant and Athina Markopoulou
2011 arXiv   pre-print
State-of-the-art techniques for probability sampling of users of online social networks (OSNs) are based on random walks on a single social relation (typically friendship).  ...  We demonstrate the benefits of our approach through (i) simulation in synthetic graphs, and (ii) measurements of Last.fm - an Internet website for music with social networking features.  ...  "community" in the network.  ... 
arXiv:1008.2565v2 fatcat:vttlo3jwqva2nnngq63dlntonm
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