The emergence of the Big Data paradigm together with the framework of complex networks has played a crucial role in providing the tools and datasets to begin understanding human interactions and the dynamics of social systems with wide applications to informatics, social sciences, information technology, and epidemiology.
The rise of the social web has resulted in the creation of an unprecedented number of social systems than can be analyzed in great detail. This unique opportunity has fostered an interdisciplinary effort to study their structure and dynamics with network theory taking the forefront. As a result, researchers have unveiled a number of surprising properties about the structure and dynamics of large-scale social systems such as online social networks, scientific and OSS collaboration networks, or mobile phone communication networks.
Due to both theoretical and practical difficulties, until recently, the majority of studies have focused on static representations of the social interactions, where the underlying network structure does not change over time. While this assumption has proven to be useful and allowed for a great progress recently, its limitations are now becoming clear. Static representations miss the timing, duration, and concurrency of social interactions, which are crucial to characterize many processes such as the spread of rumors, information and epidemics, the emergence of social norms and memes or even online congestion, resource depletion and mutual influence, among others. In general, neglecting the network dynamics might lead to mischaracterizations of the dynamical processes.  
Today, thanks to the ubiquity of online services, social media, GPS enabled smartphones and the rise of wearable computers, rich time-resolved datasets of both user behaviors and interactions are available. Empirical data on human interaction dynamics now include user access logs, email communications, chatting, phone call and SMS metadata, online forum discussions, collaborations in software projects, movie participations, geo-located individual mobility datasets, location check in, and many others. The availability of such data is triggering a new wave of data-driven studies of temporal properties of human behavior, communication, and social interactions.
The mining and study of the temporal characteristics of social dynamics, raises new fundamental challenges, both theoretical and computational, with applications to fields such as social sciences, marketing, computer science, and epidemiology. In particular, new tools and frameworks are needed to mine, characterize and model temporal behaviors as well as the profound consequences that individual characteristics and behavioral correlations have on processes under study.

Topics and Themes

The list of topics that we aim to cover at the workshop is the following:

- Data mining approaches for time-resolved datasets
- Representation of time-resolved datasets
- Dynamic interplay between social temporal networks and human behavior
- Analysis and characterization of temporal networks
- Modeling of temporal networks
- Behavioral pattern mining
- User modeling and analysis of behavioral patterns
- Processes on temporal networks
- Data driven models of collaboration
- Influence models
- User and product recommendation based on temporal patterns
- Spatio-temporal correlation between interactions and service usage

The meeting will be one day long and will host around 15 contributed talks. Submissions will be evaluated and selected by the Program Committee members, based on the adherence with the theme of the satellite, originality and scientific soundness.

Abstracts are submitted via the EasyChair website:

https://easychair.org/conferences/?conf=m2ti

Authors who do not have an EasyChair account should sign up for an account (for identification purposes, make sure to use the same email address as the one used for the conference registration).

We solicit research papers (up to 8 pages) and extended abstracts (max 2 pages with one illustration/figure).
Extended abstracts will not be included in the proceedings of the conference
Once the selection process is complete, the authors of the accepted abstracts will be notified by e-mail

Papers submission: March 13, 2015
Acceptance notification: March 27, 2015
Camera-ready paper due: April 3, 2015
Workshop Day: May 26, 2015