Welcome from the ASONAM 2013 program chairs
Bibliographic record
Abstract
As program committee chairs of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, held at Sheraton on the Falls in Niagara Falls, Ontario from August 25 to August 28, 2013, and on behalf of the members of the organizing committee and members of the technical program committee we would like to welcome you and wish you will enjoy every moment of your stay in Niagara Falls, whether attending the sessions or sightseeing during your free time. The ASONAM conference series bring together researchers from around the world to share the latest advances in the emerging and attractive field of Social Networks Analysis and Mining. The ASONAM conference series provide a single, high-profile forum for research in the theory and practice of social networks analysis and mining. It was initiated in 2009 in Athens at the Hellenic American University. ASONAM 2010, the second of the series, was held at the University of Southern Denmark, Odense, Denmark followed by ASONAM 2011, in Kaohsiung, Taiwan National University of Kaohsiung, and we had another interesting gathering in Istanbul in August 2012 who enjoyed an outstanding ASONAM 2012 from the rich and informative scientific program, to the organization and hospitality, to the uniqueness of the city connecting two continents. Fortunately, ASONAM 2013 is not less important in terms of the venue which stands on the fascinating area of Niagara Falls at the connection between Canada and the United States.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".