NDLI: ASONAM 2014 panel: Influence in social networking and the effective of its analysis and mining in the era of electronic communication

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2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)

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Table of contents

ASONAM 2014 message from steering chair

Message from IEEE/ACM ASONAM 2014 general chairs

Welcome from the ASONAM 2014 program chairs

ASONAM 2014 program committee

Message from FOSINT-SI 2014 chairs

Message from HIBIBI 2014 chairs

Message from URUGC 2014 program chairs

Message from $C^{3}-2014$ chairs

Message from SNAA 2014 program chairs

ASONAM 2014 keynotes

ASONAM 2014 panel: Influence in social networking and the effective of its analysis and mining in the era of electronic communication

ASONAM 2014 tutorials [2 abstracts]

Technical papers [breaker page]

A local seed selection algorithm for overlapping community detection

Community evolution prediction in dynamic social networks

Overlapping Stochastic Community Finding

rLinkTopic: A probabilistic model for discovering regional LinkTopic communities

A uniform framework for community detection via influence maximization in social networks

Gossip-based partitioning and replication for Online Social Networks

Online evaluation re-scoring based on review behavior analysis

Understanding lurking behaviors in social networks across time

Start-up firms' networks for innovation: Embedded in entrepreneurs' networks in private and public spheres

A new space for comparing graphs

A model of consistent node types in signed directed social networks

Name disambiguation from link data in a collaboration graph

A backbone extraction method with Local Search for complex weighted networks

Efficient algorithm for ranking of nodes' importance in information dissemination

A unified generative Bayesian model for community discovery and role assignment based upon latent interaction factors

Community detection in dynamic social networks: A game-theoretic approach

Using triads to identify local community structure in social networks

An modularity-based overlapping community structure detecting algorithm

Overlapping community detection in large networks from a data fusion view

The network you keep: Analyzing persons of interest using cliqster

Automatic classification of scientific groups as productive: An approach based on motif analysis

Behavioral detection of spam URL sharing: Posting patterns versus click patterns

Interactions around social networks matter: Predicting the social network from associated interaction networks

Constructing social networks from semi-structured chat-log data

Detecting malicious clients in ISP networks using HTTP connectivity graph and flow information

Triggering patterns of topology changes in dynamic graphs

Indexing bipartite memberships in web graphs

Two phase transitions in the adaptive voter model based on the homophily principle

Extremal optimization-based semi-supervised algorithm with conflict pairwise constraints for community detection

Accurately detecting trolls in Slashdot Zoo via decluttering

Detecting highly overlapping community structure based on Maximal Clique Networks

An ant colony optimization method to detect communities in social networks

Scanning network communities with power-law-distributed attributes

Do neighbor buddies make a difference in reblog likelihood? An analysis on SINA Weibo data

“Can you really trust that seed?”: Reducing the impact of seed noise in personalized PageRank

Discovering trust patterns in ego networks

Topic dynamics in Weibo: Happy Entertainment dominates but angry Finance is more periodic

Time-aware reciprocity prediction in trust network

A fuzzy clustering algorithm to detect criminals without prior information

Towards understanding cyberbullying behavior in a semi-anonymous social network

Measuring UK crime gangs

MOSAIC: Criminal network analysis for multi-modal surveillance and decision support

Towards online anti-opinion spam: Spotting fake reviews from the review sequence

Exploiting rank-learning models to predict the diffusion of preferences on social networks

Learning the information diffusion probabilities by using variance regularized EM algorithm

Cluster cascades: Infer multiple underlying networks using diffusion data

On macro and micro exploration of hashtag diffusion in Twitter

SSRM: Structural social role mining for dynamic social networks

Bio-inspired models for characterizing YouTube viewcout

Social networks analysis and perception of social support of young mothers in the process of reconstruction: The social fabric of winter victims in the Colombian Caribbean (South America)

A semantic model for academic social network analysis

Are communities as strong as we think?

Exploring user expertise and descriptive ability in community question answering

Min(e)d your tags: Analysis of Question response time in StackOverflow

Question difficulty evaluation by knowledge gap analysis in Question Answer communities

Joint voting prediction for questions and answers in CQA

Empirical study on overlapping community detection in question and answer sites

Data-mining twitter and the autism spectrum disorder: A Pilot study

On the endogenesis of Twitter's Spritzer and Gardenhose sample streams

An analysis of positivity and negativity attributes of users in twitter

Identifying the community roles of social capitalists in the Twitter network

Mention-anomaly-based Event Detection and tracking in Twitter

Detecting deception in Online Social Networks

#tag: Meme or event?

Identifying relevant event content for real-time event detection

Finding social interaction patterns using call and proximity logs simultaneously

Geographic focus detection using multiple location taggers

Online social media in the Syria conflict: Encompassing the extremes and the in-betweens

Early detection of persistent topics in social networks

Clearing contamination in large networks

Influence inflation in online social networks

Multi-objective optimization to identify key players in social networks

Influence in social networks: A unified model?

Diversified social influence maximization

A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs

User characterization from geographic topic analysis in online social media

CRIMETRACER: Activity space based crime location prediction

A method for characterizing communities in dynamic attributed complex networks

Who were you talking to - Mining interpersonal relationships from cellphone network data

Alike people, alike interests? A large-scale study on interest similarity in social networks

Agent-based simulation research on group emotion evolution of public emergency

Accelerate the detection of trends by using sentiment analysis within the blogosphere

Multi-label collective classification in multi-attribute multi-relational network data

Penalized partial least squares for multi-label data

A unified modularity by encoding the similarity attraction feature into the null model

A multi-generational social learning model: The effect of information cascade on aggregate welfare

Inferring air pollution by sniffing social media

ETAF: An extended trust antecedents framework for trust prediction

Persuasion driven influence propagation in social networks

A novel algorithm for community detection and influence ranking in social networks

Leadership: Do networks matter?

Recommendation in Academia: A joint multi-relational model

Social networks and quality of life: The national health interview survey

Community discovery using social links and author-based sentiment topics

Field selection for job categorization and recommendation to social network users

Application of network analysis on healthcare

Populating knowledge base with collective entity mentions: A graph-based approach

Personalized paper recommendation in online social scholar system

Using sentiment to detect bots on Twitter: Are humans more opinionated than bots?

Adjustments to propensity score matching for network structures

Handling incomplete data using semantic logging based Social Network Analysis Hexagon for effective application monitoring and management

Characterizing emotion entrainment in social media

SansText: Classifying temporal topic dynamics of Twitter cascades without tweet text

OpenKN: An open knowledge computational engine for network big data

CAPER: Crawling and analysing Facebook for intelligence purposes

Online Naive Bayes classification for network intrusion detection

Exploring UK crime networks

Cascading failures of social networks under attacks

Understanding South Asian Violent Extremist Group-group interactions

Semantic crawling: An approach based on Named Entity Recognition

Prediction and analysis of Pakistan election 2013 based on sentiment analysis

The security awareness paradox: A case study

Estimating the size of hidden data sources by queries

OSINT for B2B platforms

Detecting key individuals in terrorist network based on FANP model

Big Data in Health Informatics Architecture

Improving energetic feature selection to classify protein-protein interactions

How do biological networks differ from social networks? (an experimental study)

Evidence from the randomized controlled trials of Traditional Chinese Medicine compound in treating Alzheimer's disease

A fast sorting algorithm for aptamer identification using deep sequencing

Tracking dynamic community evolution in social networks

Competition between real-life friends and virtual-life friends

Location inference using microblog text and friendships

Sentiment analysis of microblog combining dictionary and rules

Using single source data to better understand User-generated Content (UGC) behavior

Research and implementation of algorithm for short videos recommendation

The comparison study on the motivations of staffs' behaviors on public and enterprise social network: Evidence from China

Structural and regular equivalence of community detection in social networks

UGC collection strategy oriented user influence classification and feature analysis

Research on the selecting mechanism of individual interactive object for online social network

Associations between personal social network properties and mental health in cancer care

A study of age and gender seen through mobile phone usage patterns in Mexico

Dynamic feedback mechanism for maximizing interaction in online social network services

Activity profiles in online social media

Extension of Modularity Density for overlapping community structure

The same network - different communities? The multidimensional study of groups in the cyberspace

Local representatives in weighted networks

PEVNET: A framework for visualization of criminal networks

Incremental solutions to online multi-unit combinatorial auctions for information feedback

Analysis of two crime-related networks derived from bipartite social networks

Link discovery in social networks

Optimal strategies for targeted influence in signed networks

Rumors detection in Chinese via crowd responses

A novel method for computer video leaking signal detection

Simpler is better? Lexicon-based ensemble sentiment classification beats supervised methods

Automatically identifying experts in on-line support forums using social interactions and post content

Community-based cheater detection in location-based social networks

SDHM: A hybrid model for spammer detection in Weibo

Using global diversity and local features to identify influential social network spreaders

Epdemic spreading model based overlapping community detection

Tag-based expert recommendation in community question answering

Tell me who your friends are and I'll tell you who you are: Studying the evolution of collaborations in research environments

2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)

2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

2011 International Conference on Advances in Social Networks Analysis and Mining

2010 International Conference on Advances in Social Networks Analysis and Mining

2009 International Conference on Advances in Social Network Analysis and Mining

ASONAM 2014 panel: Influence in social networking and the effective of its analysis and mining in the era of electronic communication

Content Provider	IEEE Xplore Digital Library
Author	Robins, G. Zhao, L. Kazienko, P. Wu, X.
Copyright Year	2014
Description	Author affiliation: University of Vermont, VT, USA (Wu, X.) \|\| Wrodaw University of Technology, Poland (Kazienko, P.) \|\| University of Melbourne, Australia (Robins, G.) \|\| CISCO Inc, USA (Zhao, L.)
Abstract	Summary form only given, as follows. The rapid advancement in technology and the wide spread usage of handheld devices have influenced the way people communicate and behave. The influence shifted from local to global. Marketing is moving from merely commercials on the TV and in newspapers, and panels on the highways into more web and social media based. Online reviews of products and commodities are widely available and highly influencing the general opinion. Various po stings on the social media are initiating discussions that promote some influential bodies within the involved communities, and this might have direct effect on various aspects of the daily life from political to economical. The goal of this panel is to discuss the following issues: (1) Volatility, dynamism and persistence of influence; (2) How to identify and influence the influencers? (3) How is the influence spreading and how may various parties (individuals, groups, officials, private sector, public sector, etc.) benefit from the network analysis and mining methods available? (4) Are the available platforms and techniques sufficient to deal with the rapidly accumulated huge amounts of logs and traces left by people communicating online? (5) What are organizations looking for in terms of network analysis and mining that current technology falls short on? What are the critical obstacles to be overcome? (6)Are there cases in which network analysis and mining did not deliver stellar results - and if so, why? Each participant will make a brief position statement at the beginning of the panel discussion (~4 minutes, no slides please) followed by a discussion amongst panelists for about 30 minutes. After this, the floor will be thrown open to the audience for a free flowing discussion.
File Size	36516
File Format	PDF
ISBN	9781479958771
DOI	10.1109/ASONAM.2014.6921548
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	TV Handheld computers Social network services Communities Media
Content Type	Text
Resource Type	Article

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